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<rss xmlns:itunes="http://www.itunes.com/dtds/podcast-1.0.dtd" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:podcast="https://podcastindex.org/namespace/1.0" xmlns:media="http://search.yahoo.com/mrss/" version="2.0"><channel><title>AI-Powered Bot : Chatgpt</title><link>https://www.spreaker.com/show/ai-powered-bot-chatgpt</link><description><![CDATA[It is more about the new technology "The Artificial Intelligence"Using this the great bot is created called the Chatgpt-generative pre training.By open AI San Francisco.]]></description><atom:link href="https://www.spreaker.com/show/5782050/episodes/feed" rel="self" type="application/rss+xml"/><language>en</language><category>Technology</category><copyright>Copyright Mukesh</copyright><image><url>https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/a37c7344df17cdefeac7010de981e804.jpg</url><title>AI-Powered Bot : Chatgpt</title><link>https://www.spreaker.com/show/ai-powered-bot-chatgpt</link></image><lastBuildDate>Wed, 24 Jun 2026 16:36:56 +0000</lastBuildDate><itunes:author>Mukesh</itunes:author><itunes:owner><itunes:name>Mukesh</itunes:name><itunes:email>mukeshprajan93@gmail.com</itunes:email></itunes:owner><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/a37c7344df17cdefeac7010de981e804.jpg"/><itunes:subtitle>It is more about the new technology "The Artificial Intelligence"Using this the great bot is created called the Chatgpt-generative pre training.By open AI San Francisco.</itunes:subtitle><itunes:summary><![CDATA[It is more about the new technology "The Artificial Intelligence"Using this the great bot is created called the Chatgpt-generative pre training.By open AI San Francisco.]]></itunes:summary><itunes:category text="Technology"/><itunes:explicit>true</itunes:explicit><itunes:type>episodic</itunes:type><item><title>Inside Instacart's AI-Powered Smart Shopping Cart | NVIDIA AI Podcast Ep. 302</title><link>https://www.spreaker.com/episode/inside-instacart-s-ai-powered-smart-shopping-cart-nvidia-ai-podcast-ep-302--72674616</link><description><![CDATA[Instacart has 1.6 billion lifetime grocery orders—and is now using that data flywheel to digitize the physical store itself. In this episode, David McIntosh, Chief Connected Stores Officer at Instacart, explains how the Caper Cart—powered by an NVIDIA Jetson™ board and a sensor fusion system combining cameras, weight sensors, and location data—is bringing edge AI to the grocery aisle. He shares what's driving double-digit sales lift for retailers, how AI agents are beginning to automate store operations, and why in-store and online shopping will merge into a single unified experience within the decade.    🔬Topics covered:  How Caper Carts use NVIDIA Jetson and sensor fusion to identify items in real time  Why edge AI matters: hundreds-of-milliseconds response vs. seconds in the cloud  Double-digit sales lift from personalized in-cart recommendations  Building a grocery foundation model from 1.6B orders and live in-store data  AI agents for store ops: proactive out-of-stock alerts and CPG shelf optimization    Chapters:  00:00 – Introduction and the Connected Store vision  04:00 – Caper Cart: NVIDIA Jetson, sensor fusion, and edge AI  08:06 – How basket recognition and recommendations work  15:53 – Double-digit sales lift and what shoppers actually want  22:25 – Store ops, employees, and the real-time data flywheel  28:26 – AI agents, the grocery foundation model, and what's next]]></description><guid isPermaLink="false">bcfa4532-6f5a-11f1-8bb5-c3355609e72d</guid><pubDate>Wed, 24 Jun 2026 15:45:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/72674616/nvc6266348181.mp3" length="95989914" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>Instacart has 1.6 billion lifetime grocery orders—and is now using that data flywheel to digitize the physical store itself. In this episode, David McIntosh, Chief Connected Stores Officer at Instacart, explains how the Caper Cart—powered by an NVIDIA...</itunes:subtitle><itunes:summary><![CDATA[Instacart has 1.6 billion lifetime grocery orders—and is now using that data flywheel to digitize the physical store itself. In this episode, David McIntosh, Chief Connected Stores Officer at Instacart, explains how the Caper Cart—powered by an NVIDIA Jetson™ board and a sensor fusion system combining cameras, weight sensors, and location data—is bringing edge AI to the grocery aisle. He shares what's driving double-digit sales lift for retailers, how AI agents are beginning to automate store operations, and why in-store and online shopping will merge into a single unified experience within the decade.    🔬Topics covered:  How Caper Carts use NVIDIA Jetson and sensor fusion to identify items in real time  Why edge AI matters: hundreds-of-milliseconds response vs. seconds in the cloud  Double-digit sales lift from personalized in-cart recommendations  Building a grocery foundation model from 1.6B orders and live in-store data  AI agents for store ops: proactive out-of-stock alerts and CPG shelf optimization    Chapters:  00:00 – Introduction and the Connected Store vision  04:00 – Caper Cart: NVIDIA Jetson, sensor fusion, and edge AI  08:06 – How basket recognition and recommendations work  15:53 – Double-digit sales lift and what shoppers actually want  22:25 – Store ops, employees, and the real-time data flywheel  28:26 – AI agents, the grocery foundation model, and what's next]]></itunes:summary><itunes:duration>2396</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/af2fdf41d28fa5135bd9eeefde142e3d.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>How Mistral Is Building Frontier AI for the Enterprise | NVIDIA AI Podcast Ep. 301</title><link>https://www.spreaker.com/episode/how-mistral-is-building-frontier-ai-for-the-enterprise-nvidia-ai-podcast-ep-301--72461476</link><description><![CDATA[Open-weight models are closing the gap with proprietary AI — and Timothée Lacroix, cofounder and CTO of Mistral, has been betting on that since day one. In this episode, he explains why open weights accelerate enterprise adoption, how Mistral is bringing model customization into production, and what a 2.5x training speed improvement on GB200s means for the next generation of large sparse mixture-of-experts models. He also shares the open problem keeping him up at night: getting AI agent permission systems right before write access becomes the norm.    🔬Topics covered:  How open models and weights accelerate research  Mistral Forge: bringing enterprise-grade model customization to production  The Nemotron Coalition—what Mistral and NVIDIA are building together  2.5x training gains on GB200s for large sparse mixture-of-experts models  Why AI agent permissions—especially write access—is important to solve    Chapters:  00:00 – Introduction and Mistral’s origin story  04:05 – The case for open weights and why the community builds faster  09:34 – Mistral Forge: enterprise model customization in production  14:21 – What enterprise customers actually want from AI right now  18:46 – The hardest open problem: AI agent permissions and write access]]></description><guid isPermaLink="false">f037580a-6455-11f1-bb4d-5b5ed106d657</guid><pubDate>Wed, 10 Jun 2026 16:00:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/72461476/nvc3974617522.mp3" length="51941956" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>Open-weight models are closing the gap with proprietary AI — and Timothée Lacroix, cofounder and CTO of Mistral, has been betting on that since day one. In this episode, he explains why open weights accelerate enterprise adoption, how Mistral is...</itunes:subtitle><itunes:summary><![CDATA[Open-weight models are closing the gap with proprietary AI — and Timothée Lacroix, cofounder and CTO of Mistral, has been betting on that since day one. In this episode, he explains why open weights accelerate enterprise adoption, how Mistral is bringing model customization into production, and what a 2.5x training speed improvement on GB200s means for the next generation of large sparse mixture-of-experts models. He also shares the open problem keeping him up at night: getting AI agent permission systems right before write access becomes the norm.    🔬Topics covered:  How open models and weights accelerate research  Mistral Forge: bringing enterprise-grade model customization to production  The Nemotron Coalition—what Mistral and NVIDIA are building together  2.5x training gains on GB200s for large sparse mixture-of-experts models  Why AI agent permissions—especially write access—is important to solve    Chapters:  00:00 – Introduction and Mistral’s origin story  04:05 – The case for open weights and why the community builds faster  09:34 – Mistral Forge: enterprise model customization in production  14:21 – What enterprise customers actually want from AI right now  18:46 – The hardest open problem: AI agent permissions and write access]]></itunes:summary><itunes:duration>1294</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/d240627a48d554d2694c230c038940cc.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Everyone Can Build a Robot: Open Source Embodied AI With Seeed Studio | NVIDIA AI Podcast Ep. 300</title><link>https://www.spreaker.com/episode/everyone-can-build-a-robot-open-source-embodied-ai-with-seeed-studio-nvidia-ai-podcast-ep-300--72188094</link><description><![CDATA[Seeed Studio is a leader in open source robotics, delivering affordable NVIDIA Jetson‑powered arms that put embodied AI into the hands of millions of makers, students, and small businesses. In this episode, Seeed Studio CEO Eric Pan and Head of Robotics Elaine Wu explain how open hardware, the OpenClaw agentic framework, and NVIDIA Isaac Sim are turning robot arms into controllable, teachable agents—and what it takes to bring these physical AI tools into real‑world settings responsibly.    🔬Topics covered:  Why open source is the fastest path to accessible robotics  How the $200 SOR arm (with Hugging Face) lowers the barrier to embodied AI  Training robot arms like a dog: from months of coding to intuitive hand‑guided learning  OpenClaw on Jetson: turning natural‑language commands into robot skills  Using NVIDIA Isaac Sim and digital twins to bridge simulation and real‑world deployment  Building modular robot parts (heads, arms, wheels) instead of monolithic humanoids    Chapters:  00:00 – Welcome and introductions  02:00 – From open hardware modules to robotics and edge AI  05:00 – Why open source drives adoption and trust in robotics  09:00 – The $200 SOR arm: open source with Hugging Face  12:00 – Training robot arms like a dog: intuitive, hand‑guided learning  15:00 – OpenClaw on Jetson: text‑to‑robot control  20:00 – Isaac Sim and digital twins: bridging simulation and reality  27:00 – Modular design: heads, arms, wheels instead of humanoids  32:00 – Everyone can participate in physical AI: closing thoughts]]></description><guid isPermaLink="false">d5e0ea3c-5930-11f1-8aef-6fa48be07041</guid><pubDate>Wed, 27 May 2026 15:45:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/72188094/nvc9592437490.mp3" length="69959776" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>Seeed Studio is a leader in open source robotics, delivering affordable NVIDIA Jetson‑powered arms that put embodied AI into the hands of millions of makers, students, and small businesses. In this episode, Seeed Studio CEO Eric Pan and Head of...</itunes:subtitle><itunes:summary><![CDATA[Seeed Studio is a leader in open source robotics, delivering affordable NVIDIA Jetson‑powered arms that put embodied AI into the hands of millions of makers, students, and small businesses. In this episode, Seeed Studio CEO Eric Pan and Head of Robotics Elaine Wu explain how open hardware, the OpenClaw agentic framework, and NVIDIA Isaac Sim are turning robot arms into controllable, teachable agents—and what it takes to bring these physical AI tools into real‑world settings responsibly.    🔬Topics covered:  Why open source is the fastest path to accessible robotics  How the $200 SOR arm (with Hugging Face) lowers the barrier to embodied AI  Training robot arms like a dog: from months of coding to intuitive hand‑guided learning  OpenClaw on Jetson: turning natural‑language commands into robot skills  Using NVIDIA Isaac Sim and digital twins to bridge simulation and real‑world deployment  Building modular robot parts (heads, arms, wheels) instead of monolithic humanoids    Chapters:  00:00 – Welcome and introductions  02:00 – From open hardware modules to robotics and edge AI  05:00 – Why open source drives adoption and trust in robotics  09:00 – The $200 SOR arm: open source with Hugging Face  12:00 – Training robot arms like a dog: intuitive, hand‑guided learning  15:00 – OpenClaw on Jetson: text‑to‑robot control  20:00 – Isaac Sim and digital twins: bridging simulation and reality  27:00 – Modular design: heads, arms, wheels instead of humanoids  32:00 – Everyone can participate in physical AI: closing thoughts]]></itunes:summary><itunes:duration>1745</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/1f9c10eba15cd17eb46f733a2cdcfd9b.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Inside AI Tokenomics: How to Profitably Turn Tokens Into Business Value | NVIDIA AI Podcast Ep. 299</title><link>https://www.spreaker.com/episode/inside-ai-tokenomics-how-to-profitably-turn-tokens-into-business-value-nvidia-ai-podcast-ep-299--72085895</link><description><![CDATA[As AI factories scale and token costs become a defining competitive variable, the way businesses measure infrastructure ROI needs to change. In this episode, Shruti Koparkar from NVIDIA's Accelerated Computing team breaks down tokenomics—the four-pillar framework of token utility, supply, demand, and monetization—and reveals why NVIDIA Blackwell's architecture delivers 50x more tokens per watt than NVIDIA Hopper, translating to a 35x reduction in token cost.    🔬Topics covered:  The four pillars of tokenomics: utility, supply, demand, and monetization  Why cost per token beats FLOPS per dollar as an infrastructure metric  NVIDIA Blackwell vs. Hopper: 50x more tokens per watt, 35x lower token cost  How extreme co-design turns spec-sheet numbers into real-world output  Jevons paradox: why lower token cost always drives more GPU demand, not less  The four business models for turning tokens into revenue    Chapters:  00:00 – Introduction and the four pillars of tokenomics  02:09 – Token value: intelligence, interactivity, and use case mapping  06:32 – Estimating token demand: users, reasoning, and agentic multipliers  10:00 – Token supply and why cost per token is the right infrastructure metric  13:12 – NVIDIA Blackwell vs. Hopper: 50x more tokens, 35x lower cost  14:52 – Extreme co-design for lowest token cost and the NVIDIA Vera Rubin platform  21:10 – How software multiplies hardware performance (8x gains in six months)  23:56 – Token monetization: pricing and business models  26:52 – Jevons paradox and the future of GPU demand]]></description><guid isPermaLink="false">1158b364-53ec-11f1-82f7-975ad2e37d6f</guid><pubDate>Wed, 20 May 2026 16:00:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/72085895/nvc1708428495.mp3" length="80405663" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>As AI factories scale and token costs become a defining competitive variable, the way businesses measure infrastructure ROI needs to change. In this episode, Shruti Koparkar from NVIDIA's Accelerated Computing team breaks down tokenomics—the...</itunes:subtitle><itunes:summary><![CDATA[As AI factories scale and token costs become a defining competitive variable, the way businesses measure infrastructure ROI needs to change. In this episode, Shruti Koparkar from NVIDIA's Accelerated Computing team breaks down tokenomics—the four-pillar framework of token utility, supply, demand, and monetization—and reveals why NVIDIA Blackwell's architecture delivers 50x more tokens per watt than NVIDIA Hopper, translating to a 35x reduction in token cost.    🔬Topics covered:  The four pillars of tokenomics: utility, supply, demand, and monetization  Why cost per token beats FLOPS per dollar as an infrastructure metric  NVIDIA Blackwell vs. Hopper: 50x more tokens per watt, 35x lower token cost  How extreme co-design turns spec-sheet numbers into real-world output  Jevons paradox: why lower token cost always drives more GPU demand, not less  The four business models for turning tokens into revenue    Chapters:  00:00 – Introduction and the four pillars of tokenomics  02:09 – Token value: intelligence, interactivity, and use case mapping  06:32 – Estimating token demand: users, reasoning, and agentic multipliers  10:00 – Token supply and why cost per token is the right infrastructure metric  13:12 – NVIDIA Blackwell vs. Hopper: 50x more tokens, 35x lower cost  14:52 – Extreme co-design for lowest token cost and the NVIDIA Vera Rubin platform  21:10 – How software multiplies hardware performance (8x gains in six months)  23:56 – Token monetization: pricing and business models  26:52 – Jevons paradox and the future of GPU demand]]></itunes:summary><itunes:duration>2006</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/a9790a9fc1fd734d9035967a0f91506e.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Snap’s Secret to Processing 10 Petabytes a Day: GPU-Accelerated Spark | NVIDIA AI Podcast Ep. 298</title><link>https://www.spreaker.com/episode/snap-s-secret-to-processing-10-petabytes-a-day-gpu-accelerated-spark-nvidia-ai-podcast-ep-298--71989745</link><description><![CDATA[Snap processes more than 10 petabytes of experimentation data every single morning—and with NVIDIA GPU-accelerated Apache Spark on Google Cloud, Snap cut job costs by 76%, reduced memory usage by 80%, and eliminated 120 terabytes of disk spill from its pipelines.    Prudhvi Vatala, head of engineering platforms at Snap, joins the NVIDIA AI Podcast to break down how he and his team completely modernized data infrastructure for a social platform serving nearly a billion monthly active users—using NVIDIA cuDF plugin (formerly referred to as NVIDIA RAPIDS plugin) for Apache Spark on Google Kubernetes Engine, with zero application code changes.    🔬Topics covered:  How Snap runs A/B tests at planetary scale using rigorous statistical methods like heterogeneous treatment effect detection and variance reduction    Why Snap reuses idle inference GPUs between 1–5 a.m. for batch data processing—and how it built a Kubernetes-based platform to do it    How NVIDIA cuDF delivered 3x+ speedups on join-heavy Spark jobs with no code rewrites    The full business impact: 76% cost reduction, 62% fewer cores, 80% less memory, 120 TB of spill eliminated    How a three-way partnership between Snap, NVIDIA, and Google Cloud made it possible in just 8–9 months    Chapters:  0:00 Introduction and Snap overview  3:35 What is Snap’s experimentation platform?  4:05 Why experimentation, safety, and privacy are core at Snap  4:52 How A/B testing works at billion-user scale  8:14 Discovering NVIDIA cuDF plugin  9:06 Benchmarking results: join, union, and aggregation jobs  12:00 Reusing idle GPUs overnight via GKE  13:24 Building a bottom-up GPU data platform at Snap  17:48 Results: 76% cost reduction and partnership impact  20:56 Snap’s evolution and what’s next    Learn more:  NVIDIA cuDF: https://developer.nvidia.com/topics/ai/data-science/cuda-x-data-science-libraries/cudf#accel-apache]]></description><guid isPermaLink="false">02d8a5d0-4e59-11f1-9037-e3af07f8ddc0</guid><pubDate>Wed, 13 May 2026 13:00:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/71989745/nvc2926487857.mp3" length="56789705" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>Snap processes more than 10 petabytes of experimentation data every single morning—and with NVIDIA GPU-accelerated Apache Spark on Google Cloud, Snap cut job costs by 76%, reduced memory usage by 80%, and eliminated 120 terabytes of disk spill from...</itunes:subtitle><itunes:summary><![CDATA[Snap processes more than 10 petabytes of experimentation data every single morning—and with NVIDIA GPU-accelerated Apache Spark on Google Cloud, Snap cut job costs by 76%, reduced memory usage by 80%, and eliminated 120 terabytes of disk spill from its pipelines.    Prudhvi Vatala, head of engineering platforms at Snap, joins the NVIDIA AI Podcast to break down how he and his team completely modernized data infrastructure for a social platform serving nearly a billion monthly active users—using NVIDIA cuDF plugin (formerly referred to as NVIDIA RAPIDS plugin) for Apache Spark on Google Kubernetes Engine, with zero application code changes.    🔬Topics covered:  How Snap runs A/B tests at planetary scale using rigorous statistical methods like heterogeneous treatment effect detection and variance reduction    Why Snap reuses idle inference GPUs between 1–5 a.m. for batch data processing—and how it built a Kubernetes-based platform to do it    How NVIDIA cuDF delivered 3x+ speedups on join-heavy Spark jobs with no code rewrites    The full business impact: 76% cost reduction, 62% fewer cores, 80% less memory, 120 TB of spill eliminated    How a three-way partnership between Snap, NVIDIA, and Google Cloud made it possible in just 8–9 months    Chapters:  0:00 Introduction and Snap overview  3:35 What is Snap’s experimentation platform?  4:05 Why experimentation, safety, and privacy are core at Snap  4:52 How A/B testing works at billion-user scale  8:14 Discovering NVIDIA cuDF plugin  9:06 Benchmarking results: join, union, and aggregation jobs  12:00 Reusing idle GPUs overnight via GKE  13:24 Building a bottom-up GPU data platform at Snap  17:48 Results: 76% cost reduction and partnership impact  20:56 Snap’s evolution and what’s next    Learn more:  NVIDIA cuDF: https://developer.nvidia.com/topics/ai/data-science/cuda-x-data-science-libraries/cudf#accel-apache]]></itunes:summary><itunes:duration>1416</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/e0c0b31b534bc750c7a18de48a4a711e.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Harrison Chase of LangChain on Deep Agents, LangSmith, and Earning Trust | NVIDIA AI Podcast Ep. 297</title><link>https://www.spreaker.com/episode/harrison-chase-of-langchain-on-deep-agents-langsmith-and-earning-trust-nvidia-ai-podcast-ep-297--71891445</link><description><![CDATA[LangChain has surpassed 1 billion downloads—and the framework that started as a weekend project is now the harness powering the next generation of production-grade AI agents. In this episode, Harrison Chase, co-founder &amp; CEO of LangChain, breaks down the architecture behind deep agents, explains why systems like Claude Code, Manus, and Deep Research all share the same foundational pattern, and lays out what it actually takes to deploy autonomous agents responsibly in the enterprise.    🔬Topics covered:    What is a "deep agent," and why does architecture matter more than ever?    How enterprises are (and aren't) embracing autonomous agents    LangSmith: observability, tracing, and evaluation-driven development    Mixing frontier and open models (NVIDIA Nemotron) in multi-agent systems    What's next: async subagents, proactive/always-on agents, agent memory, and agent identity    Chapters:  00:00 – LangChain origin story and the deep agent architecture  01:46 – What is a deep agent?  03:31 – Enterprise trust: risk, autonomy, and iteration  04:38 – LangSmith: observability and evaluation-driven development  13:30 – Frontier vs. open models and the Nemotron Coalition  18:10 – What's next: async subagents, agent memory, and agent identity]]></description><guid isPermaLink="false">454a0a66-4955-11f1-adf9-2fa0e93c779d</guid><pubDate>Wed, 06 May 2026 12:45:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/71891445/nvc4347035801.mp3" length="59971099" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>LangChain has surpassed 1 billion downloads—and the framework that started as a weekend project is now the harness powering the next generation of production-grade AI agents. In this episode, Harrison Chase, co-founder &amp;amp; CEO of LangChain, breaks...</itunes:subtitle><itunes:summary><![CDATA[LangChain has surpassed 1 billion downloads—and the framework that started as a weekend project is now the harness powering the next generation of production-grade AI agents. In this episode, Harrison Chase, co-founder &amp; CEO of LangChain, breaks down the architecture behind deep agents, explains why systems like Claude Code, Manus, and Deep Research all share the same foundational pattern, and lays out what it actually takes to deploy autonomous agents responsibly in the enterprise.    🔬Topics covered:    What is a "deep agent," and why does architecture matter more than ever?    How enterprises are (and aren't) embracing autonomous agents    LangSmith: observability, tracing, and evaluation-driven development    Mixing frontier and open models (NVIDIA Nemotron) in multi-agent systems    What's next: async subagents, proactive/always-on agents, agent memory, and agent identity    Chapters:  00:00 – LangChain origin story and the deep agent architecture  01:46 – What is a deep agent?  03:31 – Enterprise trust: risk, autonomy, and iteration  04:38 – LangSmith: observability and evaluation-driven development  13:30 – Frontier vs. open models and the Nemotron Coalition  18:10 – What's next: async subagents, agent memory, and agent identity]]></itunes:summary><itunes:duration>1495</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/38dcfc717c97009d72fca370f9e60411.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>How Dassault Systèmes Is Building AI That Understands Physics - Ep. 296</title><link>https://www.spreaker.com/episode/how-dassault-systemes-is-building-ai-that-understands-physics-ep-296--71735773</link><description><![CDATA[Generative AI can predict whether a plane takes off—but does it know why? Nicolas Cerisier, VP of 3DEXPERIENCE Platform R&amp;D at Dassault Systèmes, explains how industrial world models go beyond pattern recognition to embed the actual laws of physics, chemistry, and engineering. In this episode of the NVIDIA AI Podcast, he also breaks down Dassault's three virtual companions (AURA, LEO, and MARIE), their 25-year collaboration with NVIDIA, and a stunning real-world use case: helping NIAR rebuild aircraft designs part by part, using AI.]]></description><guid isPermaLink="false">217d7074-4373-11f1-997a-4f4c10618430</guid><pubDate>Wed, 29 Apr 2026 15:45:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/71735773/nvc4106910030.mp3" length="44474935" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>Generative AI can predict whether a plane takes off—but does it know why? Nicolas Cerisier, VP of 3DEXPERIENCE Platform R&amp;amp;D at Dassault Systèmes, explains how industrial world models go beyond pattern recognition to embed the actual laws of...</itunes:subtitle><itunes:summary><![CDATA[Generative AI can predict whether a plane takes off—but does it know why? Nicolas Cerisier, VP of 3DEXPERIENCE Platform R&amp;D at Dassault Systèmes, explains how industrial world models go beyond pattern recognition to embed the actual laws of physics, chemistry, and engineering. In this episode of the NVIDIA AI Podcast, he also breaks down Dassault's three virtual companions (AURA, LEO, and MARIE), their 25-year collaboration with NVIDIA, and a stunning real-world use case: helping NIAR rebuild aircraft designs part by part, using AI.]]></itunes:summary><itunes:duration>1385</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/bc1b85d581f651a2855d41940c951c7f.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>One Brain, Any Robot: Skild AI's Skild Brain Explained - Ep. 295</title><link>https://www.spreaker.com/episode/one-brain-any-robot-skild-ai-s-skild-brain-explained-ep-295--71562749</link><description><![CDATA[What if one AI brain could run every robot on the planet—a humanoid, a warehouse arm, and a dog-like inspection bot—all at once?  That's not a thought experiment. That's what Skild AI is building right now.  Deepak Pathak (CEO and Co-Founder) and Abhinav Gupta (President and Co-Founder) of Skild AI join the pod to break down Skild Brain—a universal, general-purpose AI model designed to power robots of any form factor, tackling any task, from a single shared intelligence.]]></description><guid isPermaLink="false">a0bc9a3c-3de1-11f1-8297-23f4c478808a</guid><pubDate>Wed, 22 Apr 2026 15:45:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/71562749/nvc1970448695.mp3" length="57399781" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>What if one AI brain could run every robot on the planet—a humanoid, a warehouse arm, and a dog-like inspection bot—all at once?  That's not a thought experiment. That's what Skild AI is building right now.  Deepak Pathak (CEO and Co-Founder) and...</itunes:subtitle><itunes:summary><![CDATA[What if one AI brain could run every robot on the planet—a humanoid, a warehouse arm, and a dog-like inspection bot—all at once?  That's not a thought experiment. That's what Skild AI is building right now.  Deepak Pathak (CEO and Co-Founder) and Abhinav Gupta (President and Co-Founder) of Skild AI join the pod to break down Skild Brain—a universal, general-purpose AI model designed to power robots of any form factor, tackling any task, from a single shared intelligence.]]></itunes:summary><itunes:duration>1788</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/a37c7344df17cdefeac7010de981e804.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>How AI Will Change Quantum Computing - Ep. 294</title><link>https://www.spreaker.com/episode/how-ai-will-change-quantum-computing-ep-294--71318259</link><description><![CDATA[What happens when you combine AI with quantum computing? NVIDIA's Nic Harrigan joins the AI Podcast to break down the state of quantum, explain why error correction is the pivotal challenge, and reveal how NVIDIA Ising—the world's first open AI model family for quantum—is changing the game.    🔗 Resources mentioned:  ► Read our NVIDIA Ising announcement   ► Learn more about NVIDIA Ising   ► Learn more about NVIDIA Quantum Computing]]></description><guid isPermaLink="false">c1864c80-3766-11f1-a17b-8323ac12a047</guid><pubDate>Tue, 14 Apr 2026 14:00:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/71318259/nvc7634787225.mp3" length="60627008" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>What happens when you combine AI with quantum computing? NVIDIA's Nic Harrigan joins the AI Podcast to break down the state of quantum, explain why error correction is the pivotal challenge, and reveal how NVIDIA Ising—the world's first open AI model...</itunes:subtitle><itunes:summary><![CDATA[What happens when you combine AI with quantum computing? NVIDIA's Nic Harrigan joins the AI Podcast to break down the state of quantum, explain why error correction is the pivotal challenge, and reveal how NVIDIA Ising—the world's first open AI model family for quantum—is changing the game.    🔗 Resources mentioned:  ► Read our NVIDIA Ising announcement   ► Learn more about NVIDIA Ising   ► Learn more about NVIDIA Quantum Computing]]></itunes:summary><itunes:duration>1889</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/93810b1ee759cad9e5af6e2680309987.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Building AI Factories: How Red Hat and NVIDIA Turn Enterprise Data Into Intelligence - Ep. 293</title><link>https://www.spreaker.com/episode/building-ai-factories-how-red-hat-and-nvidia-turn-enterprise-data-into-intelligence-ep-293--70610608</link><description><![CDATA[Enterprises are moving from AI pilots to full‑scale AI factories that turn data into trusted digital intelligence. Red Hat CTO Chris Wright and NVIDIA’s Justin Boitano unpack the "five‑layer cake" AI factory stack, from accelerated hardware and hybrid cloud infrastructure to models, agents, and production‑grade governance.]]></description><guid isPermaLink="false">9d680dae-1e1e-11f1-a58e-cbc963e1c1a2</guid><pubDate>Thu, 12 Mar 2026 15:45:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/70610608/nvc3762220235.mp3" length="46645431" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>Enterprises are moving from AI pilots to full‑scale AI factories that turn data into trusted digital intelligence. Red Hat CTO Chris Wright and NVIDIA’s Justin Boitano unpack the "five‑layer cake" AI factory stack, from accelerated hardware and hybrid...</itunes:subtitle><itunes:summary><![CDATA[Enterprises are moving from AI pilots to full‑scale AI factories that turn data into trusted digital intelligence. Red Hat CTO Chris Wright and NVIDIA’s Justin Boitano unpack the "five‑layer cake" AI factory stack, from accelerated hardware and hybrid cloud infrastructure to models, agents, and production‑grade governance.]]></itunes:summary><itunes:duration>2324</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/669dc7e8d110974c016817ef34d8778c.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Powering the AI Inference Wave with EPRI's Ben Sooter - Ep. 292</title><link>https://www.spreaker.com/episode/powering-the-ai-inference-wave-with-epri-s-ben-sooter-ep-292--70446102</link><description><![CDATA[AI is reshaping electricity demand. What does increased demand, and the shape of that demand, mean for the electric grid? Ben Sooter, Director of R&amp;D at EPRI joins the podcast to explain why most of an AI model’s lifetime energy use comes from inference rather than training, and how micro data centers located near underutilized substations can help deliver low‑latency AI services while strengthening grid resilience.]]></description><guid isPermaLink="false">bfa86990-175c-11f1-805b-b37d2c0211e7</guid><pubDate>Wed, 04 Mar 2026 16:45:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/70446102/nvc8231364994.mp3" length="39000546" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>AI is reshaping electricity demand. What does increased demand, and the shape of that demand, mean for the electric grid? Ben Sooter, Director of R&amp;amp;D at EPRI joins the podcast to explain why most of an AI model’s lifetime energy use comes from...</itunes:subtitle><itunes:summary><![CDATA[AI is reshaping electricity demand. What does increased demand, and the shape of that demand, mean for the electric grid? Ben Sooter, Director of R&amp;D at EPRI joins the podcast to explain why most of an AI model’s lifetime energy use comes from inference rather than training, and how micro data centers located near underutilized substations can help deliver low‑latency AI services while strengthening grid resilience.]]></itunes:summary><itunes:duration>1941</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/560fc17848bb868197b7ba6c7bfe9bf9.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>AI Agents and the Future of Global Trade with Alibaba’s Kuo Zhang - Ep. 291</title><link>https://www.spreaker.com/episode/ai-agents-and-the-future-of-global-trade-with-alibaba-s-kuo-zhang-ep-291--70334605</link><description><![CDATA[Alibaba.com president Kuo Zhang discusses how AI agents like Accio are reshaping global trade. He shares insights on automating complex B2B sourcing, compressing weeks of work into minutes, lowering barriers for solo entrepreneurs and SMEs, and what AI-native commerce will mean for the next decade.]]></description><guid isPermaLink="false">5353db82-139a-11f1-a616-2f7836c8351a</guid><pubDate>Fri, 27 Feb 2026 16:45:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/70334605/nvc4056061208.mp3" length="48031081" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>Alibaba.com president Kuo Zhang discusses how AI agents like Accio are reshaping global trade. He shares insights on automating complex B2B sourcing, compressing weeks of work into minutes, lowering barriers for solo entrepreneurs and SMEs, and what...</itunes:subtitle><itunes:summary><![CDATA[Alibaba.com president Kuo Zhang discusses how AI agents like Accio are reshaping global trade. He shares insights on automating complex B2B sourcing, compressing weeks of work into minutes, lowering barriers for solo entrepreneurs and SMEs, and what AI-native commerce will mean for the next decade.]]></itunes:summary><itunes:duration>1994</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/e71d8230981ed7003bdd75bdb7f12021.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Safer, Faster Public Transportation: AC Transit’s AI-Powered Upgrade with Hayden AI - Ep 290</title><link>https://www.spreaker.com/episode/safer-faster-public-transportation-ac-transit-s-ai-powered-upgrade-with-hayden-ai-ep-290--70134775</link><description><![CDATA[Transit agencies are using AI and edge computing to keep bus lanes and bus stops clear — boosting on‑time performance, accessibility, and safety for riders. AC Transit CTO Ahsan Baig and Hayden AI CEO Marty Beard explain how bus‑mounted cameras and NVIDIA-powered edge AI automatically detect vehicles blocking bus lanes and stops, protect rider privacy by design, and are helping change driver behavior in the San Francisco Bay Area.    Explore the next wave of AI innovation at NVIDIA GTC. Learn more.]]></description><guid isPermaLink="false">296a0f92-0c58-11f1-a77a-8796c280c835</guid><pubDate>Wed, 18 Feb 2026 16:45:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/70134775/nvc1218461159.mp3" length="35499445" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>Transit agencies are using AI and edge computing to keep bus lanes and bus stops clear — boosting on‑time performance, accessibility, and safety for riders. AC Transit CTO Ahsan Baig and Hayden AI CEO Marty Beard explain how bus‑mounted cameras and...</itunes:subtitle><itunes:summary><![CDATA[Transit agencies are using AI and edge computing to keep bus lanes and bus stops clear — boosting on‑time performance, accessibility, and safety for riders. AC Transit CTO Ahsan Baig and Hayden AI CEO Marty Beard explain how bus‑mounted cameras and NVIDIA-powered edge AI automatically detect vehicles blocking bus lanes and stops, protect rider privacy by design, and are helping change driver behavior in the San Francisco Bay Area.    Explore the next wave of AI innovation at NVIDIA GTC. Learn more.]]></itunes:summary><itunes:duration>1766</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/a139f0bfbfeaf4cd34a49f7783b24901.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Driving Safer AVs Faster with Smart Simulation, Neural Reconstruction, and Data-Centric Tools - Ep. 289</title><link>https://www.spreaker.com/episode/driving-safer-avs-faster-with-smart-simulation-neural-reconstruction-and-data-centric-tools-ep-289--69980147</link><description><![CDATA[How can AV teams stop drowning in petabytes of data and actually ship safer autonomy faster? Fortellix’s Rohan Bhasin and Voxel51’s Dan Gural explain how neural reconstruction, scenario-driven data curation, and NVIDIA-powered pipelines turn ordinary drive logs into high-fidelity simulations that close the last-mile gap in AV performance.    GTC is the premier global AI conference. Learn more at nvidia.com/gtc]]></description><guid isPermaLink="false">f4dfa456-06f5-11f1-b4e0-fbeee9bbb50a</guid><pubDate>Wed, 11 Feb 2026 16:45:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/69980147/nvc7506650645.mp3" length="54601565" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>How can AV teams stop drowning in petabytes of data and actually ship safer autonomy faster? Fortellix’s Rohan Bhasin and Voxel51’s Dan Gural explain how neural reconstruction, scenario-driven data curation, and NVIDIA-powered pipelines turn ordinary...</itunes:subtitle><itunes:summary><![CDATA[How can AV teams stop drowning in petabytes of data and actually ship safer autonomy faster? Fortellix’s Rohan Bhasin and Voxel51’s Dan Gural explain how neural reconstruction, scenario-driven data curation, and NVIDIA-powered pipelines turn ordinary drive logs into high-fidelity simulations that close the last-mile gap in AV performance.    GTC is the premier global AI conference. Learn more at nvidia.com/gtc]]></itunes:summary><itunes:duration>2721</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/d58197fdd56837d849f90db4a46e1f3e.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>How AI-Powered Holograms Are Reimagining Fan Experiences at the Big Game - Ep. 288</title><link>https://www.spreaker.com/episode/how-ai-powered-holograms-are-reimagining-fan-experiences-at-the-big-game-ep-288--69788021</link><description><![CDATA[How are real‑time 4K holograms that look, sound, and respond like people changing fan engagement? Jia Li, co‑founder, president, and chief AI officer of LiveX AI, shares how human‑like AI agents bridge the digital and physical worlds—from greeting travelers at airports to guiding fans through fan zones and supporting wayfinding at major sports events.    Join the world's premier AI conference: NVIDIA GTC]]></description><guid isPermaLink="false">0f6bed06-0161-11f1-bfa2-c76740872b44</guid><pubDate>Wed, 04 Feb 2026 16:45:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/69788021/nvc3533804875.mp3" length="46933578" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>How are real‑time 4K holograms that look, sound, and respond like people changing fan engagement? Jia Li, co‑founder, president, and chief AI officer of LiveX AI, shares how human‑like AI agents bridge the digital and physical worlds—from greeting...</itunes:subtitle><itunes:summary><![CDATA[How are real‑time 4K holograms that look, sound, and respond like people changing fan engagement? Jia Li, co‑founder, president, and chief AI officer of LiveX AI, shares how human‑like AI agents bridge the digital and physical worlds—from greeting travelers at airports to guiding fans through fan zones and supporting wayfinding at major sports events.    Join the world's premier AI conference: NVIDIA GTC]]></itunes:summary><itunes:duration>2338</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/544614d10f347a44e56335ef93ea23aa.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Accelerating Disaster Response with Give Directly's Nick Allardice - Ep. 287</title><link>https://www.spreaker.com/episode/accelerating-disaster-response-with-give-directly-s-nick-allardice-ep-287--69648317</link><description><![CDATA[GiveDirectly president and CEO Nick Allardice explains how his team uses AI, mobile money, and satellite imagery to send cash directly to people living in poverty and crisis, often within days of a disaster. He describes how AI-powered tools help forecast floods in places like Nigeria, Bangladesh, and Mozambique, and how “anticipatory action” can get money to families before disaster strikes.   Learn more about the AI Podcast: ai-podcast.nvidia.com]]></description><guid isPermaLink="false">d263abca-fbe7-11f0-b3d0-e70ec5e5735f</guid><pubDate>Wed, 28 Jan 2026 16:45:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/69648317/nvc6380643445.mp3" length="58492212" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>GiveDirectly president and CEO Nick Allardice explains how his team uses AI, mobile money, and satellite imagery to send cash directly to people living in poverty and crisis, often within days of a disaster. He describes how AI-powered tools help...</itunes:subtitle><itunes:summary><![CDATA[GiveDirectly president and CEO Nick Allardice explains how his team uses AI, mobile money, and satellite imagery to send cash directly to people living in poverty and crisis, often within days of a disaster. He describes how AI-powered tools help forecast floods in places like Nigeria, Bangladesh, and Mozambique, and how “anticipatory action” can get money to families before disaster strikes.   Learn more about the AI Podcast: ai-podcast.nvidia.com]]></itunes:summary><itunes:duration>2916</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/d90997a39d522facbedde99b377c6a19.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>From Warehouses to Robot Shoppers: Jason Goldberg Talks Retail’s AI Makeover - Ep. 286</title><link>https://www.spreaker.com/episode/from-warehouses-to-robot-shoppers-jason-goldberg-talks-retail-s-ai-makeover-ep-286--69534389</link><description><![CDATA[Jason “Retailgeek” Goldberg, Chief Commerce Strategy Officer at Publicis Group, discusses how AI is  optimizes retail operations and is rewriting the consumer shopping experience. Learn why AI acceleration is able to reimagine the retail pipeline — from supply chain to personalized robot shoppers that could streamline the flow of goods starting at the warehouse and ending on your doorstep.    More AI Podcast: ai-podcast.nvidia.com]]></description><guid isPermaLink="false">232137ee-f689-11f0-9dac-2ff078d65b6b</guid><pubDate>Wed, 21 Jan 2026 16:45:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/69534389/nvc7912093061.mp3" length="60034812" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>Jason “Retailgeek” Goldberg, Chief Commerce Strategy Officer at Publicis Group, discusses how AI is  optimizes retail operations and is rewriting the consumer shopping experience. Learn why AI acceleration is able to reimagine the retail pipeline —...</itunes:subtitle><itunes:summary><![CDATA[Jason “Retailgeek” Goldberg, Chief Commerce Strategy Officer at Publicis Group, discusses how AI is  optimizes retail operations and is rewriting the consumer shopping experience. Learn why AI acceleration is able to reimagine the retail pipeline — from supply chain to personalized robot shoppers that could streamline the flow of goods starting at the warehouse and ending on your doorstep.    More AI Podcast: ai-podcast.nvidia.com]]></itunes:summary><itunes:duration>2993</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/a86838264a2c4ed288887c6cd73b57b2.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Safer, Smarter Construction Sites with Edge AI and Caterpillar Autonomous Machines - Ep. 285</title><link>https://www.spreaker.com/episode/safer-smarter-construction-sites-with-edge-ai-and-caterpillar-autonomous-machines-ep-285--69440877</link><description><![CDATA[How is AI changing heavy equipment, from factory floor to job site?  Brandon Hootman, Vice President of Data and Artificial Intelligence at Caterpillar, explains how NVIDIA’s AI Factory, Omniverse, and edge AI power digital twins, safer autonomy, and in-cab AI copilots.​  🎧 Listen to the NVIDIA AI Podcast]]></description><guid isPermaLink="false">6f2cadc2-f165-11f0-b40f-6b2ed18bd2ce</guid><pubDate>Wed, 14 Jan 2026 16:45:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/69440877/nvc6815070765.mp3" length="47740839" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>How is AI changing heavy equipment, from factory floor to job site?  Brandon Hootman, Vice President of Data and Artificial Intelligence at Caterpillar, explains how NVIDIA’s AI Factory, Omniverse, and edge AI power digital twins, safer autonomy, and...</itunes:subtitle><itunes:summary><![CDATA[How is AI changing heavy equipment, from factory floor to job site?  Brandon Hootman, Vice President of Data and Artificial Intelligence at Caterpillar, explains how NVIDIA’s AI Factory, Omniverse, and edge AI power digital twins, safer autonomy, and in-cab AI copilots.​  🎧 Listen to the NVIDIA AI Podcast]]></itunes:summary><itunes:duration>2378</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/e704ab42d876448879932a305abdb78c.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Lowering the Cost of Intelligence With NVIDIA's Ian Buck - Ep. 284</title><link>https://www.spreaker.com/episode/lowering-the-cost-of-intelligence-with-nvidia-s-ian-buck-ep-284--69242450</link><description><![CDATA[Discover how mixture‑of‑experts (MoE) architecture is enabling smarter AI models without a proportional increase in the required compute and cost. Using vivid analogies and real-world examples, NVIDIA’s Ian Buck breaks down MoE models, their hidden complexities, and why extreme co-design across compute, networking, and software is essential to realizing their full potential.  Learn more: https://blogs.nvidia.com/blog/mixture-of-experts-frontier-models/ ]]></description><guid isPermaLink="false">adaedf1e-e0eb-11f0-ac21-7fd42f4abca1</guid><pubDate>Mon, 29 Dec 2025 16:57:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/69242450/nvc3854335892.mp3" length="46085595" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>Discover how mixture‑of‑experts (MoE) architecture is enabling smarter AI models without a proportional increase in the required compute and cost. Using vivid analogies and real-world examples, NVIDIA’s Ian Buck breaks down MoE models, their hidden...</itunes:subtitle><itunes:summary><![CDATA[Discover how mixture‑of‑experts (MoE) architecture is enabling smarter AI models without a proportional increase in the required compute and cost. Using vivid analogies and real-world examples, NVIDIA’s Ian Buck breaks down MoE models, their hidden complexities, and why extreme co-design across compute, networking, and software is essential to realizing their full potential.  Learn more: https://blogs.nvidia.com/blog/mixture-of-experts-frontier-models/ ]]></itunes:summary><itunes:duration>2296</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/40c408b17608a6c6460d3837584c5e6f.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>How Anyone Can Build Meaningful AI Without Code - Ep. 283</title><link>https://www.spreaker.com/episode/how-anyone-can-build-meaningful-ai-without-code-ep-283--69100464</link><description><![CDATA[Empromptu CEO Shanea Leven shares how her company helps people without coding experience build meaningful, production-ready AI applications — fast and accurately. Powered by NVIDIA CUDA, Empromptu’s “AI that builds AI” platform is making cutting-edge technology accessible to all, enabling creators to turn bold ideas into real-world impact.    Listen to the full show archive at ai-podcast.nvidia.com]]></description><guid isPermaLink="false">6c5c22f0-daf7-11f0-b6c3-77cdab16f60e</guid><pubDate>Wed, 17 Dec 2025 16:45:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/69100464/nvc8239537757.mp3" length="48778532" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>Empromptu CEO Shanea Leven shares how her company helps people without coding experience build meaningful, production-ready AI applications — fast and accurately. Powered by NVIDIA CUDA, Empromptu’s “AI that builds AI” platform is making cutting-edge...</itunes:subtitle><itunes:summary><![CDATA[Empromptu CEO Shanea Leven shares how her company helps people without coding experience build meaningful, production-ready AI applications — fast and accurately. Powered by NVIDIA CUDA, Empromptu’s “AI that builds AI” platform is making cutting-edge technology accessible to all, enabling creators to turn bold ideas into real-world impact.    Listen to the full show archive at ai-podcast.nvidia.com]]></itunes:summary><itunes:duration>2430</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/a68ec34f8d49a79c3ef836dad8d0f456.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>AI in 2025: From Agents to Factories - Ep. 282</title><link>https://www.spreaker.com/episode/ai-in-2025-from-agents-to-factories-ep-282--68979140</link><description><![CDATA[The year in AI began with agents and brought us creative superpowers, robots on farms and in operating rooms, and so much more. Look back on AI in 2025 through the voices of the people who created it in this recap episode.  Listen to every episode: ⁠ai-podcast.nvidia.com ]]></description><guid isPermaLink="false">2a835f8a-d569-11f0-85a0-dbad4e9c0a77</guid><pubDate>Wed, 10 Dec 2025 16:45:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/68979140/nvc8849693155.mp3" length="35782672" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>The year in AI began with agents and brought us creative superpowers, robots on farms and in operating rooms, and so much more. Look back on AI in 2025 through the voices of the people who created it in this recap episode.  Listen to every...</itunes:subtitle><itunes:summary><![CDATA[The year in AI began with agents and brought us creative superpowers, robots on farms and in operating rooms, and so much more. Look back on AI in 2025 through the voices of the people who created it in this recap episode.  Listen to every episode: ⁠ai-podcast.nvidia.com ]]></itunes:summary><itunes:duration>1780</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/b42724a31818b3eb086a234d666db468.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>How AI Data Platforms Are Shaping the Future of Enterprise Storage - Ep. 281</title><link>https://www.spreaker.com/episode/how-ai-data-platforms-are-shaping-the-future-of-enterprise-storage-ep-281--68620809</link><description><![CDATA[Bringing GPUs to your data is a game changer for the modern enterprise.  Jacob Liberman, Director of Enterprise Product Management at NVIDIA, details the AI Data Platform, a GPU-accelerated storage platform built for AI.    Browse the entire AI Podcast catalog: ⁠ai-podcast.nvidia.com]]></description><guid isPermaLink="false">ac9eacd6-c1a0-11f0-a842-bba1459bb408</guid><pubDate>Tue, 18 Nov 2025 15:45:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/68620809/nvc4610272696.mp3" length="17133287" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>Bringing GPUs to your data is a game changer for the modern enterprise.  Jacob Liberman, Director of Enterprise Product Management at NVIDIA, details the AI Data Platform, a GPU-accelerated storage platform built for AI.    Browse the entire AI...</itunes:subtitle><itunes:summary><![CDATA[Bringing GPUs to your data is a game changer for the modern enterprise.  Jacob Liberman, Director of Enterprise Product Management at NVIDIA, details the AI Data Platform, a GPU-accelerated storage platform built for AI.    Browse the entire AI Podcast catalog: ⁠ai-podcast.nvidia.com]]></itunes:summary><itunes:duration>2119</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/a37c7344df17cdefeac7010de981e804.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Mayor Matt Mahan on How AI Is Changing City Life in San Jose - Ep. 280</title><link>https://www.spreaker.com/episode/mayor-matt-mahan-on-how-ai-is-changing-city-life-in-san-jose-ep-280--68540873</link><description><![CDATA[Mayor Matt Mahan and NVIDIA’s Jumbi Edulbehram reveal how AI is making San Jose smarter—optimizing transit, translating meetings in real time, upskilling city staff, and powering pioneering civic programs. Learn how AI is helping streamline services and create a more responsive city for everyone.    Browse the entire AI Podcast catalog: ai-podcast.nvidia.com]]></description><guid isPermaLink="false">7e7e610c-be99-11f0-91db-c7b7f0ab1e7e</guid><pubDate>Wed, 12 Nov 2025 16:45:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/68540873/nvc7529658576.mp3" length="56249625" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>Mayor Matt Mahan and NVIDIA’s Jumbi Edulbehram reveal how AI is making San Jose smarter—optimizing transit, translating meetings in real time, upskilling city staff, and powering pioneering civic programs. Learn how AI is helping streamline services...</itunes:subtitle><itunes:summary><![CDATA[Mayor Matt Mahan and NVIDIA’s Jumbi Edulbehram reveal how AI is making San Jose smarter—optimizing transit, translating meetings in real time, upskilling city staff, and powering pioneering civic programs. Learn how AI is helping streamline services and create a more responsive city for everyone.    Browse the entire AI Podcast catalog: ai-podcast.nvidia.com]]></itunes:summary><itunes:duration>2799</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/a8833bc24676cd6f43451b98de1ccb18.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>GTC DC '25 Pregame - Chapter 5: AI for Robotics and Manufacturing</title><link>https://www.spreaker.com/episode/gtc-dc-25-pregame-chapter-5-ai-for-robotics-and-manufacturing--68509751</link><description><![CDATA[Bonus coverage from the NVIDIA GTC DC '25 Pregame Show    Chapter 5: AI for Robotics and Manufacturing  The boundary between digital intelligence and physical action is disappearing. Industry pioneers show how robotics and automation are turning insight into production.  Catch up with GTC DC on-demand: ⁠https://www.nvidia.com/en-us/on-demand/⁠]]></description><guid isPermaLink="false">2b49c6da-be98-11f0-9cdd-27e4c60ec3e7</guid><pubDate>Tue, 11 Nov 2025 00:48:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/68509751/nvc7208846099.mp3" length="31808527" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>Bonus coverage from the NVIDIA GTC DC '25 Pregame Show    Chapter 5: AI for Robotics and Manufacturing  The boundary between digital intelligence and physical action is disappearing. Industry pioneers show how robotics and automation are turning...</itunes:subtitle><itunes:summary><![CDATA[Bonus coverage from the NVIDIA GTC DC '25 Pregame Show    Chapter 5: AI for Robotics and Manufacturing  The boundary between digital intelligence and physical action is disappearing. Industry pioneers show how robotics and automation are turning insight into production.  Catch up with GTC DC on-demand: ⁠https://www.nvidia.com/en-us/on-demand/⁠]]></itunes:summary><itunes:duration>1577</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/841cfc882573bcaa111e740a8f3b98a3.jpg"/><itunes:episodeType>bonus</itunes:episodeType></item><item><title>GTC DC '25 Pregame - Chapter 4: AI for Science</title><link>https://www.spreaker.com/episode/gtc-dc-25-pregame-chapter-4-ai-for-science--68509753</link><description><![CDATA[Bonus coverage from the NVIDIA GTC DC '25 Pregame Show    Chapter 4: AI for Science  In laboratories and research centers, AI is becoming a core instrument of discovery. Scientists and technologists explore how computation is accelerating progress across fields.    Catch up with GTC DC on-demand: ⁠https://www.nvidia.com/en-us/on-demand/⁠]]></description><guid isPermaLink="false">fdea902a-be97-11f0-b045-1fd48bdb910d</guid><pubDate>Tue, 11 Nov 2025 00:47:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/68509753/nvc3007734717.mp3" length="41241305" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>Bonus coverage from the NVIDIA GTC DC '25 Pregame Show    Chapter 4: AI for Science  In laboratories and research centers, AI is becoming a core instrument of discovery. Scientists and technologists explore how computation is accelerating progress...</itunes:subtitle><itunes:summary><![CDATA[Bonus coverage from the NVIDIA GTC DC '25 Pregame Show    Chapter 4: AI for Science  In laboratories and research centers, AI is becoming a core instrument of discovery. Scientists and technologists explore how computation is accelerating progress across fields.    Catch up with GTC DC on-demand: ⁠https://www.nvidia.com/en-us/on-demand/⁠]]></itunes:summary><itunes:duration>2049</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/36e85aeb2eec257b7c92b180b000bfd8.jpg"/><itunes:episodeType>bonus</itunes:episodeType></item><item><title>GTC DC '25 Pregame - Chapter 3: AI Infrastructure Ecosystem</title><link>https://www.spreaker.com/episode/gtc-dc-25-pregame-chapter-3-ai-infrastructure-ecosystem--68509754</link><description><![CDATA[Bonus coverage from the NVIDIA GTC DC '25 Pregame Show  Chapter 3: AI Infrastructure Ecosystem  Behind every breakthrough is an unseen network of data centers, power systems, and partners. Leaders across energy and infrastructure discuss how they’re building the backbone of the AI economy.  Catch up with GTC DC on-demand: ⁠https://www.nvidia.com/en-us/on-demand/⁠]]></description><guid isPermaLink="false">cfcf6d14-be97-11f0-8e10-df34cd22b053</guid><pubDate>Tue, 11 Nov 2025 00:46:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/68509754/nvc2785598858.mp3" length="41120135" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>Bonus coverage from the NVIDIA GTC DC '25 Pregame Show  Chapter 3: AI Infrastructure Ecosystem  Behind every breakthrough is an unseen network of data centers, power systems, and partners. Leaders across energy and infrastructure discuss how they’re...</itunes:subtitle><itunes:summary><![CDATA[Bonus coverage from the NVIDIA GTC DC '25 Pregame Show  Chapter 3: AI Infrastructure Ecosystem  Behind every breakthrough is an unseen network of data centers, power systems, and partners. Leaders across energy and infrastructure discuss how they’re building the backbone of the AI economy.  Catch up with GTC DC on-demand: ⁠https://www.nvidia.com/en-us/on-demand/⁠]]></itunes:summary><itunes:duration>2043</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/459a6f419d4b87502733864af6fd5148.jpg"/><itunes:episodeType>bonus</itunes:episodeType></item><item><title>GTC DC '25 Pregame - Chapter 2: Agentic AI for Every Industry</title><link>https://www.spreaker.com/episode/gtc-dc-25-pregame-chapter-2-agentic-ai-for-every-industry--68509756</link><description><![CDATA[Bonus coverage from the NVIDIA GTC DC '25 Pregame Show  Chapter 2: Agentic AI for Every Industry  Intelligent systems are beginning to plan, reason, and act, reshaping how industries work. Builders share how these capabilities are moving from research into real-world impact.    Catch up with GTC DC on-demand: ⁠https://www.nvidia.com/en-us/on-demand/⁠]]></description><guid isPermaLink="false">6bf9ba6a-be97-11f0-a626-c71c4ad44943</guid><pubDate>Tue, 11 Nov 2025 00:43:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/68509756/nvc5027196192.mp3" length="40257057" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>Bonus coverage from the NVIDIA GTC DC '25 Pregame Show  Chapter 2: Agentic AI for Every Industry  Intelligent systems are beginning to plan, reason, and act, reshaping how industries work. Builders share how these capabilities are moving from research...</itunes:subtitle><itunes:summary><![CDATA[Bonus coverage from the NVIDIA GTC DC '25 Pregame Show  Chapter 2: Agentic AI for Every Industry  Intelligent systems are beginning to plan, reason, and act, reshaping how industries work. Builders share how these capabilities are moving from research into real-world impact.    Catch up with GTC DC on-demand: ⁠https://www.nvidia.com/en-us/on-demand/⁠]]></itunes:summary><itunes:duration>2000</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/a59a035942b41b5becf543b49153f6ac.jpg"/><itunes:episodeType>bonus</itunes:episodeType></item><item><title>GTC DC '25 Pregame - Chapter 1: State of AI Innovation</title><link>https://www.spreaker.com/episode/gtc-dc-25-pregame-chapter-1-state-of-ai-innovation--68509757</link><description><![CDATA[Bonus coverage from the NVIDIA GTC DC '25 Pregame Show  Chapter 1: State of AI Innovation  A look at how new ideas, models, and open collaboration are shaping the direction of AI. Investors and founders trace where the next wave of durable innovation is coming from.  Catch up with GTC DC on-demand: https://www.nvidia.com/en-us/on-demand/]]></description><guid isPermaLink="false">2fcd1564-be97-11f0-aab8-93813510cf82</guid><pubDate>Tue, 11 Nov 2025 00:41:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/68509757/nvc2800708191.mp3" length="39419503" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>Bonus coverage from the NVIDIA GTC DC '25 Pregame Show  Chapter 1: State of AI Innovation  A look at how new ideas, models, and open collaboration are shaping the direction of AI. Investors and founders trace where the next wave of durable innovation...</itunes:subtitle><itunes:summary><![CDATA[Bonus coverage from the NVIDIA GTC DC '25 Pregame Show  Chapter 1: State of AI Innovation  A look at how new ideas, models, and open collaboration are shaping the direction of AI. Investors and founders trace where the next wave of durable innovation is coming from.  Catch up with GTC DC on-demand: https://www.nvidia.com/en-us/on-demand/]]></itunes:summary><itunes:duration>1958</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/2917c00e27a311036fed955f96e2a020.jpg"/><itunes:episodeType>bonus</itunes:episodeType></item><item><title>Learning Together: How Students and Educators are Harnessing AI for Success - Ep. 279</title><link>https://www.spreaker.com/episode/learning-together-how-students-and-educators-are-harnessing-ai-for-success-ep-279--68435127</link><description><![CDATA[Dr. Seher Awan, president of Mission College, shares her inspiring journey from first-generation college student to higher education leader in the heart of Silicon Valley. Discover how Mission College is embracing AI to break barriers, close equity gaps, and empower underrepresented communities through accessible education and innovative student support.     Browse the AI Podcast catalog: ai-podcast.nvidia.com]]></description><guid isPermaLink="false">6d760ec8-b9df-11f0-bd7a-07a13b376e10</guid><pubDate>Wed, 05 Nov 2025 16:45:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/68435127/nvc8352810938.mp3" length="54619510" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>Dr. Seher Awan, president of Mission College, shares her inspiring journey from first-generation college student to higher education leader in the heart of Silicon Valley. Discover how Mission College is embracing AI to break barriers, close equity...</itunes:subtitle><itunes:summary><![CDATA[Dr. Seher Awan, president of Mission College, shares her inspiring journey from first-generation college student to higher education leader in the heart of Silicon Valley. Discover how Mission College is embracing AI to break barriers, close equity gaps, and empower underrepresented communities through accessible education and innovative student support.     Browse the AI Podcast catalog: ai-podcast.nvidia.com]]></itunes:summary><itunes:duration>2265</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/5313876a5d7c498ac6f3187d96bf005f.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>What Open Source Teaches Us About Making AI Better - Ep. 278</title><link>https://www.spreaker.com/episode/what-open-source-teaches-us-about-making-ai-better-ep-278--68229159</link><description><![CDATA[Learn how NVIDIA's Nemotron family of open source models is redefining accelerated computing. NVIDIA’s Bryan Catanzaro and Jonathan Cohen discuss the breakthroughs in efficiency, openness, and collaboration — sharing how Nemotron empowers developers and enterprises to innovate, customize, and trust AI for every industry.    Browse the full AI Podcast archive: ai-podcast.nvidia.com]]></description><guid isPermaLink="false">5b506c52-adf5-11f0-852e-63863d573d77</guid><pubDate>Tue, 21 Oct 2025 15:45:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/68229159/nvc9762145115.mp3" length="41338434" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>Learn how NVIDIA's Nemotron family of open source models is redefining accelerated computing. NVIDIA’s Bryan Catanzaro and Jonathan Cohen discuss the breakthroughs in efficiency, openness, and collaboration — sharing how Nemotron empowers developers...</itunes:subtitle><itunes:summary><![CDATA[Learn how NVIDIA's Nemotron family of open source models is redefining accelerated computing. NVIDIA’s Bryan Catanzaro and Jonathan Cohen discuss the breakthroughs in efficiency, openness, and collaboration — sharing how Nemotron empowers developers and enterprises to innovate, customize, and trust AI for every industry.    Browse the full AI Podcast archive: ai-podcast.nvidia.com]]></itunes:summary><itunes:duration>2054</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/388e93597963edb1a517f2d3a564f33f.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>How Agentic AI Shortens Drug Development and Boosts Patient Outcomes - Ep. 277</title><link>https://www.spreaker.com/episode/how-agentic-ai-shortens-drug-development-and-boosts-patient-outcomes-ep-277--68151238</link><description><![CDATA[Learn how agentic AI is transforming pharma. IQVIA’s Raja Shankar and Avinob Roy share how intelligent automation accelerates clinical trials, improves commercial strategy, and powers better patient care — turning healthcare data into outcomes at scale.    Listen to the full archive: ai-podcast.nvidia.com]]></description><guid isPermaLink="false">3472e840-a93f-11f0-bef8-a381a58487a0</guid><pubDate>Wed, 15 Oct 2025 15:45:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/68151238/nvc9878201151.mp3" length="48848995" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>Learn how agentic AI is transforming pharma. IQVIA’s Raja Shankar and Avinob Roy share how intelligent automation accelerates clinical trials, improves commercial strategy, and powers better patient care — turning healthcare data into outcomes at...</itunes:subtitle><itunes:summary><![CDATA[Learn how agentic AI is transforming pharma. IQVIA’s Raja Shankar and Avinob Roy share how intelligent automation accelerates clinical trials, improves commercial strategy, and powers better patient care — turning healthcare data into outcomes at scale.    Listen to the full archive: ai-podcast.nvidia.com]]></itunes:summary><itunes:duration>2019</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/a6038481cfd97771fc376fe4d7ab2f2a.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>How CytoReason is Bridging the Data Insight Gap to Accelerate Healthcare Breakthroughs - Ep. 275</title><link>https://www.spreaker.com/episode/how-cytoreason-is-bridging-the-data-insight-gap-to-accelerate-healthcare-breakthroughs-ep-275--68065088</link><description><![CDATA[Shai Shen-Orr, co-founder and chief scientist at CytoReason and professor at the Technion, talks about the next frontier in healthcare: disease modeling. Shai shares how CytoReason bridges the gap between exploding biological data and actionable insight, powering smarter, faster drug development for leading pharma and biotech companies.    Learn more: ai-podcast.nvidia.com]]></description><guid isPermaLink="false">11590044-a3ac-11f0-adf1-075366f93251</guid><pubDate>Wed, 08 Oct 2025 15:50:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/68065088/nvc2109034146.mp3" length="17297639" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>Shai Shen-Orr, co-founder and chief scientist at CytoReason and professor at the Technion, talks about the next frontier in healthcare: disease modeling. Shai shares how CytoReason bridges the gap between exploding biological data and actionable...</itunes:subtitle><itunes:summary><![CDATA[Shai Shen-Orr, co-founder and chief scientist at CytoReason and professor at the Technion, talks about the next frontier in healthcare: disease modeling. Shai shares how CytoReason bridges the gap between exploding biological data and actionable insight, powering smarter, faster drug development for leading pharma and biotech companies.    Learn more: ai-podcast.nvidia.com]]></itunes:summary><itunes:duration>2113</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/a6038481cfd97771fc376fe4d7ab2f2a.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>AI Everywhere: How San José State University Empowers Students and Educators - Ep. 275</title><link>https://www.spreaker.com/episode/ai-everywhere-how-san-jose-state-university-empowers-students-and-educators-ep-275--67879343</link><description><![CDATA[President Cynthia Teniente-Matson discusses how San José State University is equipping both students and faculty to confidently embrace AI and prepare for tomorrow’s workforce. Learn more about SJSU’s hands-on AI integration in courses, AI-driven teaching tools, faculty development programs, innovative collaborations, and real-world projects—all building a more inclusive, future-ready campus.    Learn more and browse the archives on the ⁠⁠AI Podcast homepage⁠]]></description><guid isPermaLink="false">fb6fb666-995f-11f0-ad03-7bf574aa212a</guid><pubDate>Wed, 24 Sep 2025 16:03:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/67879343/nvc4563043987.mp3" length="61400012" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>President Cynthia Teniente-Matson discusses how San José State University is equipping both students and faculty to confidently embrace AI and prepare for tomorrow’s workforce. Learn more about SJSU’s hands-on AI integration in courses, AI-driven...</itunes:subtitle><itunes:summary><![CDATA[President Cynthia Teniente-Matson discusses how San José State University is equipping both students and faculty to confidently embrace AI and prepare for tomorrow’s workforce. Learn more about SJSU’s hands-on AI integration in courses, AI-driven teaching tools, faculty development programs, innovative collaborations, and real-world projects—all building a more inclusive, future-ready campus.    Learn more and browse the archives on the ⁠⁠AI Podcast homepage⁠]]></itunes:summary><itunes:duration>2542</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/67a2017a4eb0c1f6de8373d37d59da07.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Bringing Robots to Life with AI: The Three Computer Revolution - ep 273</title><link>https://www.spreaker.com/episode/bringing-robots-to-life-with-ai-the-three-computer-revolution-ep-273--67796824</link><description><![CDATA[Yashraj Narang, head of NVIDIA's Seattle Robotics Lab, reveals how the three computer solution—DGX for training, Omniverse and Cosmos for simulation, and Jetson AGX for real-time inference—is transforming modern robotics. From sim-to-real breakthroughs to humanoid intelligence, discover how NVIDIA's full-stack approach is making robots more adaptive, capable, and ready for real-world deployment.   Learn more at ai-podcast.nvidia.com.]]></description><guid isPermaLink="false">a0dac7d4-932b-11f0-b609-b3a5538e89a1</guid><pubDate>Wed, 17 Sep 2025 15:54:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/67796824/nvc7639306314.mp3" length="75691003" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>Yashraj Narang, head of NVIDIA's Seattle Robotics Lab, reveals how the three computer solution—DGX for training, Omniverse and Cosmos for simulation, and Jetson AGX for real-time inference—is transforming modern robotics. From sim-to-real...</itunes:subtitle><itunes:summary><![CDATA[Yashraj Narang, head of NVIDIA's Seattle Robotics Lab, reveals how the three computer solution—DGX for training, Omniverse and Cosmos for simulation, and Jetson AGX for real-time inference—is transforming modern robotics. From sim-to-real breakthroughs to humanoid intelligence, discover how NVIDIA's full-stack approach is making robots more adaptive, capable, and ready for real-world deployment.   Learn more at ai-podcast.nvidia.com.]]></itunes:summary><itunes:duration>3138</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/3159f5100a7172a25ac6515e672a3f64.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>From AlphaFold to MMseqs2-GPU: How AI is Accelerating Protein Science</title><link>https://www.spreaker.com/episode/from-alphafold-to-mmseqs2-gpu-how-ai-is-accelerating-protein-science--67698312</link><description><![CDATA[Listen as two leading researchers at the cutting edge of computational biology explore breakthrough GPU accelerations that are changing how we understand life's molecular machinery.   Chris Dallago, Research Lead at NVIDIA and Visiting Professor at Duke University, and Martin Steinegger, Associate Professor at Seoul National University and co-author of the Nobel Prize-winning AlphaFold paper, join the podcast to discuss homology retrieval, protein design, and how MMseqs2-GPU inverted the traditional 80/20 compute bottleneck in protein structure prediction, enabling faster drug discovery and biological research.   Learn more at ⁠ai-podcast.nvidia.com⁠.]]></description><guid isPermaLink="false">83621eac-8cda-11f0-91e4-77232ccf96e5</guid><pubDate>Wed, 10 Sep 2025 07:00:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/67698312/nvc5514715943.mp3" length="50250913" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>Listen as two leading researchers at the cutting edge of computational biology explore breakthrough GPU accelerations that are changing how we understand life's molecular machinery.   Chris Dallago, Research Lead at NVIDIA and Visiting Professor at...</itunes:subtitle><itunes:summary><![CDATA[Listen as two leading researchers at the cutting edge of computational biology explore breakthrough GPU accelerations that are changing how we understand life's molecular machinery.   Chris Dallago, Research Lead at NVIDIA and Visiting Professor at Duke University, and Martin Steinegger, Associate Professor at Seoul National University and co-author of the Nobel Prize-winning AlphaFold paper, join the podcast to discuss homology retrieval, protein design, and how MMseqs2-GPU inverted the traditional 80/20 compute bottleneck in protein structure prediction, enabling faster drug discovery and biological research.   Learn more at ⁠ai-podcast.nvidia.com⁠.]]></itunes:summary><itunes:duration>2078</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/191ffbfa316762f443be024987e669fe.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Superhuman Surgery with Moon Surgical and Maestro</title><link>https://www.spreaker.com/episode/superhuman-surgery-with-moon-surgical-and-maestro--67619848</link><description><![CDATA[CEO Anne Osdoit joins host Noah Kravitz to share how the technology augments surgeons’ skills, improves workflow efficiency, and reduces fatigue. Explore how Moon Surgical’s Maestro platform blends robotics, AI, and human expertise to boost surgeon skills, enhance workflow efficiency, and reduce fatigue. See firsthand how patient outcomes improve, hospitals streamline resources, and surgical teams achieve greater confidence and consistency—all with the power of NVIDIA edge computing and AI.  Learn more at ai-podcast.nvidia.com.]]></description><guid isPermaLink="false">a3905afc-88e0-11f0-b324-cfd85df6f81b</guid><pubDate>Wed, 03 Sep 2025 16:11:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/67619848/nvc1815956960.mp3" length="48012445" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>CEO Anne Osdoit joins host Noah Kravitz to share how the technology augments surgeons’ skills, improves workflow efficiency, and reduces fatigue. Explore how Moon Surgical’s Maestro platform blends robotics, AI, and human expertise to boost surgeon...</itunes:subtitle><itunes:summary><![CDATA[CEO Anne Osdoit joins host Noah Kravitz to share how the technology augments surgeons’ skills, improves workflow efficiency, and reduces fatigue. Explore how Moon Surgical’s Maestro platform blends robotics, AI, and human expertise to boost surgeon skills, enhance workflow efficiency, and reduce fatigue. See firsthand how patient outcomes improve, hospitals streamline resources, and surgical teams achieve greater confidence and consistency—all with the power of NVIDIA edge computing and AI.  Learn more at ai-podcast.nvidia.com.]]></itunes:summary><itunes:duration>1985</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/62f9cbe5058304a18a1e7424d8c0338c.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Amperity Reimagines Data and Developer Workflows with AI</title><link>https://www.spreaker.com/episode/amperity-reimagines-data-and-developer-workflows-with-ai--67532142</link><description><![CDATA[Derek Slager, co-founder and CTO of Amperity, explores how agentic AI and vibe coding are reshaping enterprise data management and the developer experience on the NVIDIA AI Podcast. Hear how Amperity’s platform unifies customer data, powers advanced analytics, and brings conversational interfaces to every part of the organization—helping brands activate, segment, and leverage insights at scale. Discover why data quality matters more than ever, how agentic AI transforms workflows, and why human accountability stays central in the age of automation.  Learn more at ai-podcast.nvidia.com.]]></description><guid isPermaLink="false">abc04cee-82a2-11f0-a3ba-ebb09f65af74</guid><pubDate>Wed, 27 Aug 2025 15:45:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/67532142/nvc3669584880.mp3" length="53196105" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>Derek Slager, co-founder and CTO of Amperity, explores how agentic AI and vibe coding are reshaping enterprise data management and the developer experience on the NVIDIA AI Podcast. Hear how Amperity’s platform unifies customer data, powers advanced...</itunes:subtitle><itunes:summary><![CDATA[Derek Slager, co-founder and CTO of Amperity, explores how agentic AI and vibe coding are reshaping enterprise data management and the developer experience on the NVIDIA AI Podcast. Hear how Amperity’s platform unifies customer data, powers advanced analytics, and brings conversational interfaces to every part of the organization—helping brands activate, segment, and leverage insights at scale. Discover why data quality matters more than ever, how agentic AI transforms workflows, and why human accountability stays central in the age of automation.  Learn more at ai-podcast.nvidia.com.]]></itunes:summary><itunes:duration>2201</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/0915f29e1606f3ce32525b705b4f2001.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Carbon Robotics on a New Era of Farming with Robots and Sustainable Innovation - Ep. 270</title><link>https://www.spreaker.com/episode/carbon-robotics-on-a-new-era-of-farming-with-robots-and-sustainable-innovation-ep-270--67455865</link><description><![CDATA[Paul Mikesell, Founder and CEO of Carbon Robotics, shares how combining artificial intelligence and lasers is transforming modern agriculture. From identifying and eliminating billions of weeds without chemicals to boosting crop yields and reducing operational costs, AI-driven robots are helping farmers operate more efficiently and sustainably. Discover how AI-powered farm machinery is reshaping weed control, empowering growers, and paving the way for cleaner, future-focused food production. Learn more at ai-podcast.nvidia.com.]]></description><guid isPermaLink="false">bbe7803e-76da-11f0-8270-43e491928af2</guid><pubDate>Wed, 20 Aug 2025 15:45:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/67455865/nvc6272390681.mp3" length="50727673" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>Paul Mikesell, Founder and CEO of Carbon Robotics, shares how combining artificial intelligence and lasers is transforming modern agriculture. From identifying and eliminating billions of weeds without chemicals to boosting crop yields and reducing...</itunes:subtitle><itunes:summary><![CDATA[Paul Mikesell, Founder and CEO of Carbon Robotics, shares how combining artificial intelligence and lasers is transforming modern agriculture. From identifying and eliminating billions of weeds without chemicals to boosting crop yields and reducing operational costs, AI-driven robots are helping farmers operate more efficiently and sustainably. Discover how AI-powered farm machinery is reshaping weed control, empowering growers, and paving the way for cleaner, future-focused food production. Learn more at ai-podcast.nvidia.com.]]></itunes:summary><itunes:duration>2098</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/42d7273abb1ed9bf06ab8d9583dd007e.jpg"/><itunes:episode>270</itunes:episode><itunes:episodeType>full</itunes:episodeType></item><item><title>AI, Spatial Intelligence, and 3D Content Creation with Sanja Fidler of NVIDIA - Ep. 269</title><link>https://www.spreaker.com/episode/ai-spatial-intelligence-and-3d-content-creation-with-sanja-fidler-of-nvidia-ep-269--67346289</link><description><![CDATA[Sanja Fidler, VP of AI Research at NVIDIA, joins the AI Podcast to share her journey from early curiosity to leading the Spatial Intelligence Lab in Toronto. Sanja discusses her path through research and what drew her to the world of AI and computer vision. She explains her team’s work on spatial intelligence—teaching AI to understand and create in 3D—and how this research is helping make content creation and simulation more accessible for everyone. She also discusses how breakthroughs in simulation, 3D modeling, and vision language models are powering the future of robotics and autonomous systems. Learn more at ai-podcast.nvidia.com.]]></description><guid isPermaLink="false">d7c3f6ee-747c-11f0-8b13-238bd4f86533</guid><pubDate>Tue, 12 Aug 2025 15:45:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/67346289/nvc4054061615.mp3" length="57893263" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>Sanja Fidler, VP of AI Research at NVIDIA, joins the AI Podcast to share her journey from early curiosity to leading the Spatial Intelligence Lab in Toronto. Sanja discusses her path through research and what drew her to the world of AI and computer...</itunes:subtitle><itunes:summary><![CDATA[Sanja Fidler, VP of AI Research at NVIDIA, joins the AI Podcast to share her journey from early curiosity to leading the Spatial Intelligence Lab in Toronto. Sanja discusses her path through research and what drew her to the world of AI and computer vision. She explains her team’s work on spatial intelligence—teaching AI to understand and create in 3D—and how this research is helping make content creation and simulation more accessible for everyone. She also discusses how breakthroughs in simulation, 3D modeling, and vision language models are powering the future of robotics and autonomous systems. Learn more at ai-podcast.nvidia.com.]]></itunes:summary><itunes:duration>2396</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/93b2bb2a0424ad958d6ab89bd868486b.jpg"/><itunes:episode>269</itunes:episode><itunes:episodeType>full</itunes:episodeType></item><item><title>How OpenUSD and AI Are Building Smarter Virtual Worlds - Ep. 268</title><link>https://www.spreaker.com/episode/how-openusd-and-ai-are-building-smarter-virtual-worlds-ep-268--67273843</link><description><![CDATA[Aaron Luk, NVIDIA’s Director of Product Management for Simulation Technology, dives into Universal Scene Description (OpenUSD) and how it integrates seamlessly with AI to simulate rich, physically accurate scenarios. Discover how OpenUSD unifies data, powers digital twins, and uses AI for realistic simulations in industries from filmmaking to robotics. Learn why standards matter, how non-coders can get started, and how OpenUSD is shaping the future of digital design and physical AI. Learn more at ai-podcast.nvidia.com.]]></description><guid isPermaLink="false">d18b87a8-7137-11f0-901b-776882945f90</guid><pubDate>Wed, 06 Aug 2025 15:45:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/67273843/nvc1602402405.mp3" length="35476158" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>Aaron Luk, NVIDIA’s Director of Product Management for Simulation Technology, dives into Universal Scene Description (OpenUSD) and how it integrates seamlessly with AI to simulate rich, physically accurate scenarios. Discover how OpenUSD unifies data,...</itunes:subtitle><itunes:summary><![CDATA[Aaron Luk, NVIDIA’s Director of Product Management for Simulation Technology, dives into Universal Scene Description (OpenUSD) and how it integrates seamlessly with AI to simulate rich, physically accurate scenarios. Discover how OpenUSD unifies data, powers digital twins, and uses AI for realistic simulations in industries from filmmaking to robotics. Learn why standards matter, how non-coders can get started, and how OpenUSD is shaping the future of digital design and physical AI. Learn more at ai-podcast.nvidia.com.]]></itunes:summary><itunes:duration>1462</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/46cb20737885ae16c49debfc83e29ff9.jpg"/><itunes:episode>268</itunes:episode><itunes:episodeType>full</itunes:episodeType></item><item><title>Autonomous Driving, Visual AI, and the Road Ahead with Porsche and Voxel51 - Ep. 267</title><link>https://www.spreaker.com/episode/autonomous-driving-visual-ai-and-the-road-ahead-with-porsche-and-voxel51-ep-267--67190832</link><description><![CDATA[Tin Sohn, technical lead for vision-language-action models at Porsche, and Brian Moore, CEO and co-founder of Voxel51, explore how AI, data, and simulation are shaping the future of autonomous vehicles. They share insights on the industry's transition from rule-based systems to data-driven, end-to-end approaches, the growing use of synthetic and simulated data for safety-critical testing, and how foundation models can enable cars to reason, act, and even interact like human drivers. Learn more at ai-podcast.nvidia.com.]]></description><guid isPermaLink="false">ba5df220-6c99-11f0-a347-4b19e9121d2f</guid><pubDate>Wed, 30 Jul 2025 15:45:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/67190832/nvc3273935187.mp3" length="59588249" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>Tin Sohn, technical lead for vision-language-action models at Porsche, and Brian Moore, CEO and co-founder of Voxel51, explore how AI, data, and simulation are shaping the future of autonomous vehicles. They share insights on the industry's transition...</itunes:subtitle><itunes:summary><![CDATA[Tin Sohn, technical lead for vision-language-action models at Porsche, and Brian Moore, CEO and co-founder of Voxel51, explore how AI, data, and simulation are shaping the future of autonomous vehicles. They share insights on the industry's transition from rule-based systems to data-driven, end-to-end approaches, the growing use of synthetic and simulated data for safety-critical testing, and how foundation models can enable cars to reason, act, and even interact like human drivers. Learn more at ai-podcast.nvidia.com.]]></itunes:summary><itunes:duration>2467</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/7e7bd08ffb098ac731762523a3197485.jpg"/><itunes:episode>267</itunes:episode><itunes:episodeType>full</itunes:episodeType></item><item><title>NVIDIA’s Mike Pritchard Shares How Applying AI to Climate Simulation is Helping Forecast the Future - Ep. 266</title><link>https://www.spreaker.com/episode/nvidia-s-mike-pritchard-shares-how-applying-ai-to-climate-simulation-is-helping-forecast-the-future-ep-266--67088353</link><description><![CDATA[Mike Pritchard, Director of Climate Simulation Research at NVIDIA, discusses how artificial intelligence is enhancing the way we model and predict climate patterns. From developing high-resolution, interactive simulations to accelerating climate forecasts, AI is enabling scientists, policymakers, and businesses to gain a deeper understanding of extreme weather and long-term climate change. Learn more at ai-podcast.nvidia.com.]]></description><guid isPermaLink="false">89b587c8-63f7-11f0-97e0-479035014e39</guid><pubDate>Wed, 23 Jul 2025 15:45:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/67088353/nvc6419810743.mp3" length="46952799" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>Mike Pritchard, Director of Climate Simulation Research at NVIDIA, discusses how artificial intelligence is enhancing the way we model and predict climate patterns. From developing high-resolution, interactive simulations to accelerating climate...</itunes:subtitle><itunes:summary><![CDATA[Mike Pritchard, Director of Climate Simulation Research at NVIDIA, discusses how artificial intelligence is enhancing the way we model and predict climate patterns. From developing high-resolution, interactive simulations to accelerating climate forecasts, AI is enabling scientists, policymakers, and businesses to gain a deeper understanding of extreme weather and long-term climate change. Learn more at ai-podcast.nvidia.com.]]></itunes:summary><itunes:duration>1940</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/fd751f57fd8d8f220696245b6633e229.jpg"/><itunes:episode>266</itunes:episode><itunes:episodeType>full</itunes:episodeType></item><item><title>Canva’s Danny Wu on Giving 230 Million Users Superpowers with AI - Ep. 265</title><link>https://www.spreaker.com/episode/canva-s-danny-wu-on-giving-230-million-users-superpowers-with-ai-ep-265--66999390</link><description><![CDATA[Danny Wu, Head of AI Products at Canva, explains how AI is transforming visual communication from a tool for professionals into superpowers for everyone. With over 18 billion uses of their AI features, Canva demonstrates how machine learning evolved from content search to generative design tools that let anyone create on-demand visuals. Plus, hear how they're prioritizing user consent and transparency while scaling AI across 230 million users. Learn more at ai-podcast.nvidia.com]]></description><guid isPermaLink="false">a023a336-5e6c-11f0-be41-e32c60e59032</guid><pubDate>Wed, 16 Jul 2025 15:45:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/66999390/nvc8313693543.mp3" length="18030271" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>Danny Wu, Head of AI Products at Canva, explains how AI is transforming visual communication from a tool for professionals into superpowers for everyone. With over 18 billion uses of their AI features, Canva demonstrates how machine learning evolved...</itunes:subtitle><itunes:summary><![CDATA[Danny Wu, Head of AI Products at Canva, explains how AI is transforming visual communication from a tool for professionals into superpowers for everyone. With over 18 billion uses of their AI features, Canva demonstrates how machine learning evolved from content search to generative design tools that let anyone create on-demand visuals. Plus, hear how they're prioritizing user consent and transparency while scaling AI across 230 million users. Learn more at ai-podcast.nvidia.com]]></itunes:summary><itunes:duration>1470</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/8b13f0fbcf4aecc48dcd0637fbf9738d.jpg"/><itunes:episode>265</itunes:episode><itunes:episodeType>full</itunes:episodeType></item><item><title>How Bristol Myers Squibb Is Accelerating Drug Development With AI - Ep. 264</title><link>https://www.spreaker.com/episode/how-bristol-myers-squibb-is-accelerating-drug-development-with-ai-ep-264--66916025</link><description><![CDATA[Greg Meyers, chief digital and technology officer at Bristol Myers Squibb, explains how AI is transforming pharmaceutical research from hypothesis-driven hunches to data-driven discoveries. Learn how the company is using computational chemistry to engineer breakthrough therapies like a sickle cell treatment heading to human trials, and why they built internal AI tools for 25,000+ employees. Learn more at ai-podcast.nvidia.com.]]></description><guid isPermaLink="false">f4eb5238-51d8-11f0-bd7d-ff58dc54fc96</guid><pubDate>Wed, 09 Jul 2025 15:45:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/66916025/nvc8879536138.mp3" length="46014206" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>Greg Meyers, chief digital and technology officer at Bristol Myers Squibb, explains how AI is transforming pharmaceutical research from hypothesis-driven hunches to data-driven discoveries. Learn how the company is using computational chemistry to...</itunes:subtitle><itunes:summary><![CDATA[Greg Meyers, chief digital and technology officer at Bristol Myers Squibb, explains how AI is transforming pharmaceutical research from hypothesis-driven hunches to data-driven discoveries. Learn how the company is using computational chemistry to engineer breakthrough therapies like a sickle cell treatment heading to human trials, and why they built internal AI tools for 25,000+ employees. Learn more at ai-podcast.nvidia.com.]]></itunes:summary><itunes:duration>1901</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/fb8e734f7b416c63d42065f71361f36d.jpg"/><itunes:episode>264</itunes:episode><itunes:episodeType>full</itunes:episodeType></item><item><title>Alembic and the Future of AI in Marketing - Ep. 263</title><link>https://www.spreaker.com/episode/alembic-and-the-future-of-ai-in-marketing-ep-263--66836976</link><description><![CDATA[Tomás Puig, founder and CEO of Alembic, joins the NVIDIA AI Podcast to discuss the intersection of AI, data, and marketing. He shares how Alembic uses advanced mathematics and AI—particularly spiking neural networks and causal inference—to help brands extract actionable insights from massive, anonymized datasets. The discussion also touches on the evolving role of human creativity in an AI-driven world, and the importance of private data as a competitive advantage. Learn more at ai-podcast.nvidia.com.]]></description><guid isPermaLink="false">5857d6a8-51d8-11f0-9c07-fff9370cfeb2</guid><pubDate>Wed, 02 Jul 2025 15:45:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/66836976/nvc5821802377.mp3" length="57618948" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>Tomás Puig, founder and CEO of Alembic, joins the NVIDIA AI Podcast to discuss the intersection of AI, data, and marketing. He shares how Alembic uses advanced mathematics and AI—particularly spiking neural networks and causal inference—to help brands...</itunes:subtitle><itunes:summary><![CDATA[Tomás Puig, founder and CEO of Alembic, joins the NVIDIA AI Podcast to discuss the intersection of AI, data, and marketing. He shares how Alembic uses advanced mathematics and AI—particularly spiking neural networks and causal inference—to help brands extract actionable insights from massive, anonymized datasets. The discussion also touches on the evolving role of human creativity in an AI-driven world, and the importance of private data as a competitive advantage. Learn more at ai-podcast.nvidia.com.]]></itunes:summary><itunes:duration>2385</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/0cc7e36c213e19b05fa69ac4eaaf7d3d.jpg"/><itunes:episode>263</itunes:episode><itunes:episodeType>full</itunes:episodeType></item><item><title>Hippocratic AI's Munjal Shaw on How AI Agents Are Expanding Healthcare Capacity - Ep. 262</title><link>https://www.spreaker.com/episode/hippocratic-ai-s-munjal-shaw-on-how-ai-agents-are-expanding-healthcare-capacity-ep-262--66746012</link><description><![CDATA[Munjal Shah, CEO of Hippocratic AI, discusses how AI agents can dramatically expand healthcare capacity and access. With 1.8 million patient calls completed and an 8.95/10 satisfaction rating, Hippocratic's safety-focused LLM demonstrates how AI can handle routine patient monitoring, post-surgery check-ins, and medication management - freeing human clinicians to focus on complex care requiring physical intervention. Learn about their constellation architecture using 22 models for safety validation and how their healthcare AI agent app store enables clinicians to scale certain aspects of their expertise.   Learn more at: ⁠⁠ai-podcast.nvidia.com]]></description><guid isPermaLink="false">21407a2c-4624-11f0-b311-3b1cb34949a6</guid><pubDate>Wed, 25 Jun 2025 15:45:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/66746012/nvc5723729057.mp3" length="31828930" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>Munjal Shah, CEO of Hippocratic AI, discusses how AI agents can dramatically expand healthcare capacity and access. With 1.8 million patient calls completed and an 8.95/10 satisfaction rating, Hippocratic's safety-focused LLM demonstrates how AI can...</itunes:subtitle><itunes:summary><![CDATA[Munjal Shah, CEO of Hippocratic AI, discusses how AI agents can dramatically expand healthcare capacity and access. With 1.8 million patient calls completed and an 8.95/10 satisfaction rating, Hippocratic's safety-focused LLM demonstrates how AI can handle routine patient monitoring, post-surgery check-ins, and medication management - freeing human clinicians to focus on complex care requiring physical intervention. Learn about their constellation architecture using 22 models for safety validation and how their healthcare AI agent app store enables clinicians to scale certain aspects of their expertise.   Learn more at: ⁠⁠ai-podcast.nvidia.com]]></itunes:summary><itunes:duration>1310</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/ea7d426c5dee79167867702fa440fba0.jpg"/><itunes:episode>262</itunes:episode><itunes:episodeType>full</itunes:episodeType></item><item><title>CVS Health and Aible are Delivering Enterprise AI with Rapid Prototyping, Agents, and Reasoning Models - Ep. 261</title><link>https://www.spreaker.com/episode/cvs-health-and-aible-are-delivering-enterprise-ai-with-rapid-prototyping-agents-and-reasoning-models-ep-261--66604771</link><description><![CDATA[Tony Ambrozie from CVS Health and Arijit Sengupta from Aible share how their partnership is transforming enterprise AI development through rapid prototyping and human-centered design. Discover their proven methodology for moving from concept to production in just 30 days, why they treat AI agents like interns who need training and feedback, and how reasoning models are creating more reliable and trustworthy AI systems. They also explore the future of autonomous agents, the importance of responsible AI in healthcare, and why the next wave of AI will focus on empowering humans rather than replacing them.   Learn more at: ⁠ai-podcast.nvidia.com]]></description><guid isPermaLink="false">feefe422-42fd-11f0-ac75-af90761dfddf</guid><pubDate>Wed, 18 Jun 2025 15:45:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/66604771/nvc4792321922.mp3" length="57386131" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>Tony Ambrozie from CVS Health and Arijit Sengupta from Aible share how their partnership is transforming enterprise AI development through rapid prototyping and human-centered design. Discover their proven methodology for moving from concept to...</itunes:subtitle><itunes:summary><![CDATA[Tony Ambrozie from CVS Health and Arijit Sengupta from Aible share how their partnership is transforming enterprise AI development through rapid prototyping and human-centered design. Discover their proven methodology for moving from concept to production in just 30 days, why they treat AI agents like interns who need training and feedback, and how reasoning models are creating more reliable and trustworthy AI systems. They also explore the future of autonomous agents, the importance of responsible AI in healthcare, and why the next wave of AI will focus on empowering humans rather than replacing them.   Learn more at: ⁠ai-podcast.nvidia.com]]></itunes:summary><itunes:duration>2375</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/5b4835012814ab27152049c7b1336300.jpg"/><itunes:episode>261</itunes:episode><itunes:episodeType>full</itunes:episodeType></item><item><title>NVIDIA’s Marco Pavone on AI Simulation, Safety, and the Road to Autonomous Vehicles - Ep. 260</title><link>https://www.spreaker.com/episode/nvidia-s-marco-pavone-on-ai-simulation-safety-and-the-road-to-autonomous-vehicles-ep-260--66503896</link><description><![CDATA[In this episode of the NVIDIA AI Podcast, Dr. Marco Pavone, Director of Autonomous Vehicle Research at NVIDIA and Professor at Stanford University, joins us to discuss the cutting-edge technologies making autonomous vehicles safer than ever. Learn how digital twins and high-fidelity simulation are improving vehicle testing, accelerating development, and reducing real-world risks. Dr. Pavone also shares insights on the latest advances in generative AI and foundation models, and its impact on autonomous vehicle innovation—from city streets to aerospace.]]></description><guid isPermaLink="false">f4842126-3fea-11f0-bb30-e3883493f933</guid><pubDate>Wed, 11 Jun 2025 07:00:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/66503896/nvc2797470744.mp3" length="51873148" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>In this episode of the NVIDIA AI Podcast, Dr. Marco Pavone, Director of Autonomous Vehicle Research at NVIDIA and Professor at Stanford University, joins us to discuss the cutting-edge technologies making autonomous vehicles safer than ever. Learn how...</itunes:subtitle><itunes:summary><![CDATA[In this episode of the NVIDIA AI Podcast, Dr. Marco Pavone, Director of Autonomous Vehicle Research at NVIDIA and Professor at Stanford University, joins us to discuss the cutting-edge technologies making autonomous vehicles safer than ever. Learn how digital twins and high-fidelity simulation are improving vehicle testing, accelerating development, and reducing real-world risks. Dr. Pavone also shares insights on the latest advances in generative AI and foundation models, and its impact on autonomous vehicle innovation—from city streets to aerospace.]]></itunes:summary><itunes:duration>2145</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/d4fc6425d7aeaa5afb3aab35964dfe49.jpg"/><itunes:episode>260</itunes:episode><itunes:episodeType>full</itunes:episodeType></item><item><title>The Future of Humanoid Robots With 1X's Bernt Bornich - Ep. 259</title><link>https://www.spreaker.com/episode/the-future-of-humanoid-robots-with-1x-s-bernt-bornich-ep-259--66397573</link><description><![CDATA[Bernt Børnich, founder and CEO of 1X Technologies, shares his vision for the future of humanoid robotics. Hear how the company is building fully autonomous robots that can learn and adapt in real-world environments.]]></description><guid isPermaLink="false">0205bfc8-34e5-11f0-a0e7-d7ea75d154a8</guid><pubDate>Wed, 04 Jun 2025 15:45:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/66397573/nvc2289926480.mp3" length="45260983" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>Bernt Børnich, founder and CEO of 1X Technologies, shares his vision for the future of humanoid robotics. Hear how the company is building fully autonomous robots that can learn and adapt in real-world environments.</itunes:subtitle><itunes:summary><![CDATA[Bernt Børnich, founder and CEO of 1X Technologies, shares his vision for the future of humanoid robotics. Hear how the company is building fully autonomous robots that can learn and adapt in real-world environments.]]></itunes:summary><itunes:duration>1886</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/07c3d4f86a9559d47ca4e77982ab5143.jpg"/><itunes:episode>259</itunes:episode><itunes:episodeType>full</itunes:episodeType></item><item><title>NVIDIA’s Bartley Richardson on Why ‘Agentic AI Is Next-Level Automation’ - Ep. 258</title><link>https://www.spreaker.com/episode/nvidia-s-bartley-richardson-on-why-agentic-ai-is-next-level-automation-ep-258--66315420</link><description><![CDATA[Bartley Richardson, senior director of engineering and AI infrastructure at NVIDIA, discusses the transformative potential of agentic AI as the next level of automation and introduces the NVIDIA Agent Intelligence toolkit, which ensures seamless integration and observability across multi-vendor agent systems.]]></description><guid isPermaLink="false">7fac56f8-34e5-11f0-b6ad-73975b0ff918</guid><pubDate>Wed, 28 May 2025 15:45:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/66315420/nvc5557359354.mp3" length="41115868" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>Bartley Richardson, senior director of engineering and AI infrastructure at NVIDIA, discusses the transformative potential of agentic AI as the next level of automation and introduces the NVIDIA Agent Intelligence toolkit, which ensures seamless...</itunes:subtitle><itunes:summary><![CDATA[Bartley Richardson, senior director of engineering and AI infrastructure at NVIDIA, discusses the transformative potential of agentic AI as the next level of automation and introduces the NVIDIA Agent Intelligence toolkit, which ensures seamless integration and observability across multi-vendor agent systems.]]></itunes:summary><itunes:duration>1713</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/8cb3637b9144198f426accf8c9e8bbcc.jpg"/><itunes:episode>258</itunes:episode><itunes:episodeType>full</itunes:episodeType></item><item><title>How Siemens Is Bringing AI to Factory Floors - Ep. 257</title><link>https://www.spreaker.com/episode/how-siemens-is-bringing-ai-to-factory-floors-ep-257--66173121</link><description><![CDATA[Matthias Loskyll, head of virtual control and industrial AI at Siemens Factory Automation, joins the NVIDIA AI Podcast to discuss how AI, simulation and digital twins are making significant impacts in manufacturing. From automating defect detection with Siemens Inspekto to enhancing production efficiency, NVIDIA’s collaboration with Siemens is making advanced automation accessible and secure for manufacturers.]]></description><guid isPermaLink="false">f4dc9a52-31b9-11f0-99d3-7bcd4cdc2ed1</guid><pubDate>Tue, 20 May 2025 15:45:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/66173121/nvc2321858142.mp3" length="53732534" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>Matthias Loskyll, head of virtual control and industrial AI at Siemens Factory Automation, joins the NVIDIA AI Podcast to discuss how AI, simulation and digital twins are making significant impacts in manufacturing. From automating defect detection...</itunes:subtitle><itunes:summary><![CDATA[Matthias Loskyll, head of virtual control and industrial AI at Siemens Factory Automation, joins the NVIDIA AI Podcast to discuss how AI, simulation and digital twins are making significant impacts in manufacturing. From automating defect detection with Siemens Inspekto to enhancing production efficiency, NVIDIA’s collaboration with Siemens is making advanced automation accessible and secure for manufacturers.]]></itunes:summary><itunes:duration>2239</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/9a7bc464c1004b1ba58991f64c38beaf.jpg"/><itunes:episode>259</itunes:episode><itunes:episodeType>full</itunes:episodeType></item><item><title>How Visa Is Making Payments Safer and Smarter with AI - Ep. 256</title><link>https://www.spreaker.com/episode/how-visa-is-making-payments-safer-and-smarter-with-ai-ep-256--66087248</link><description><![CDATA[Visa processes an astounding number of transactions each year, which means even small improvements in its systems can have a significant impact. Sarah Laszlo, senior director of Visa’s machine learning platform, joins the AI Podcast to discuss how AI is transforming the way the company serves its global customer base, from advancing fraud prevention to enhancing personalization. She also shares valuable insights for enterprises looking to adopt generative AI, emphasizing the importance of using open-source models and fostering strong relationships between governance and technical teams.]]></description><guid isPermaLink="false">1fcc7290-2b80-11f0-b76f-6388555b4b30</guid><pubDate>Wed, 14 May 2025 15:45:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/66087248/nvc1767769652.mp3" length="32010737" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>Visa processes an astounding number of transactions each year, which means even small improvements in its systems can have a significant impact. Sarah Laszlo, senior director of Visa’s machine learning platform, joins the AI Podcast to discuss how AI...</itunes:subtitle><itunes:summary><![CDATA[Visa processes an astounding number of transactions each year, which means even small improvements in its systems can have a significant impact. Sarah Laszlo, senior director of Visa’s machine learning platform, joins the AI Podcast to discuss how AI is transforming the way the company serves its global customer base, from advancing fraud prevention to enhancing personalization. She also shares valuable insights for enterprises looking to adopt generative AI, emphasizing the importance of using open-source models and fostering strong relationships between governance and technical teams.]]></itunes:summary><itunes:duration>1334</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/d8c8add390fefc3defd7d4582782611b.jpg"/><itunes:episode>254</itunes:episode><itunes:episodeType>full</itunes:episodeType></item><item><title>NVIDIA’s Rama Akkiraju on Building the Right AI Infrastructure for Enterprise Success - Ep. 255</title><link>https://www.spreaker.com/episode/nvidia-s-rama-akkiraju-on-building-the-right-ai-infrastructure-for-enterprise-success-ep-255--65975902</link><description><![CDATA[Rama Akkiraju, VP of IT for AI and ML at NVIDIA, discusses the transformative power of AI in enterprises. Akkiraju highlights the rapid evolution from perception AI to agentic AI and emphasizes the importance of treating AI as a new layer in the development stack. She also shares insights on the role of AI platform architects and key trends shaping the future of AI infrastructure.]]></description><guid isPermaLink="false">a62e261c-2603-11f0-b8f0-37da2ab35d1e</guid><pubDate>Wed, 07 May 2025 15:45:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/65975902/nvc7570149000.mp3" length="50226129" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>Rama Akkiraju, VP of IT for AI and ML at NVIDIA, discusses the transformative power of AI in enterprises. Akkiraju highlights the rapid evolution from perception AI to agentic AI and emphasizes the importance of treating AI as a new layer in the...</itunes:subtitle><itunes:summary><![CDATA[Rama Akkiraju, VP of IT for AI and ML at NVIDIA, discusses the transformative power of AI in enterprises. Akkiraju highlights the rapid evolution from perception AI to agentic AI and emphasizes the importance of treating AI as a new layer in the development stack. She also shares insights on the role of AI platform architects and key trends shaping the future of AI infrastructure.]]></itunes:summary><itunes:duration>2093</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/9ceb4acae6f5e1a99ae46d987affa3ca.jpg"/><itunes:episode>255</itunes:episode><itunes:episodeType>full</itunes:episodeType></item><item><title>Yum! Brands, the World’s Largest Restaurant Company, Advances AI Adoption - Ep. 254</title><link>https://www.spreaker.com/episode/yum-brands-the-world-s-largest-restaurant-company-advances-ai-adoption-ep-254--65811354</link><description><![CDATA[Yum! Brands, the parent company of KFC, Taco Bell, Pizza Hut and Habit Burger &amp; Grill, is partnering with NVIDIA to streamline order taking, optimize operations and enhance service across its restaurants. Joe Park, Chief Digital and Technology Officer at Yum! Brands, Inc. and President of Byte by Yum!, shares how the company is further accelerating AI deployment.]]></description><guid isPermaLink="false">8169d3d2-1eea-11f0-9729-03fd4a54bb97</guid><pubDate>Wed, 30 Apr 2025 15:45:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/65811354/nvc2416455099.mp3" length="34726270" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>Yum! Brands, the parent company of KFC, Taco Bell, Pizza Hut and Habit Burger &amp;amp; Grill, is partnering with NVIDIA to streamline order taking, optimize operations and enhance service across its restaurants. Joe Park, Chief Digital and Technology...</itunes:subtitle><itunes:summary><![CDATA[Yum! Brands, the parent company of KFC, Taco Bell, Pizza Hut and Habit Burger &amp; Grill, is partnering with NVIDIA to streamline order taking, optimize operations and enhance service across its restaurants. Joe Park, Chief Digital and Technology Officer at Yum! Brands, Inc. and President of Byte by Yum!, shares how the company is further accelerating AI deployment.]]></itunes:summary><itunes:duration>1447</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/092b27633905c83061c8cda1d20dc13c.jpg"/><itunes:episode>254</itunes:episode><itunes:episodeType>full</itunes:episodeType></item><item><title>Capital One’s Prem Natarajan Shares How AI Can Enhance Financial Services and Customer Experiences - Ep. 253</title><link>https://www.spreaker.com/episode/capital-one-s-prem-natarajan-shares-how-ai-can-enhance-financial-services-and-customer-experiences-ep-253--65682429</link><description><![CDATA[Prem Natarajan, the executive vice president, chief scientist and head of AI at Capital One, discusses how AI is enhancing financial services by transforming customer experiences and internal operations. He shares how advanced AI models and agentic workflows are accelerating the delivery of personalized services and improving efficiency — paving the way for enhanced security and streamlined financial processes.]]></description><guid isPermaLink="false">c5baab3a-194d-11f0-9277-a3410fb0923e</guid><pubDate>Wed, 23 Apr 2025 16:00:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/65682429/nvc7586743955.mp3" length="45726051" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>Prem Natarajan, the executive vice president, chief scientist and head of AI at Capital One, discusses how AI is enhancing financial services by transforming customer experiences and internal operations. He shares how advanced AI models and agentic...</itunes:subtitle><itunes:summary><![CDATA[Prem Natarajan, the executive vice president, chief scientist and head of AI at Capital One, discusses how AI is enhancing financial services by transforming customer experiences and internal operations. He shares how advanced AI models and agentic workflows are accelerating the delivery of personalized services and improving efficiency — paving the way for enhanced security and streamlined financial processes.]]></itunes:summary><itunes:duration>1905</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/b9f5dc20eb7e42086d1ace5b769b5760.jpg"/><itunes:episode>253</itunes:episode><itunes:episodeType>full</itunes:episodeType></item><item><title>Isomorphic Labs Discusses AI-Driven Drug Discovery and the Future of Medicine - Ep. 252</title><link>https://www.spreaker.com/episode/isomorphic-labs-discusses-ai-driven-drug-discovery-and-the-future-of-medicine-ep-252--65595414</link><description><![CDATA[Max Jaderberg and Sergei Yakneen from Isomorphic Labs discuss how AI is enhancing drug discovery by treating biology as an information processing system. They share how advanced AI models like AlphaFold 3 are accelerating the pipeline and paving the way for a future of precision medicine.]]></description><guid isPermaLink="false">dab3e144-194a-11f0-a4a8-97551b790455</guid><pubDate>Wed, 16 Apr 2025 16:00:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/65595414/nvc2151852467.mp3" length="56780572" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>Max Jaderberg and Sergei Yakneen from Isomorphic Labs discuss how AI is enhancing drug discovery by treating biology as an information processing system. They share how advanced AI models like AlphaFold 3 are accelerating the pipeline and paving the...</itunes:subtitle><itunes:summary><![CDATA[Max Jaderberg and Sergei Yakneen from Isomorphic Labs discuss how AI is enhancing drug discovery by treating biology as an information processing system. They share how advanced AI models like AlphaFold 3 are accelerating the pipeline and paving the way for a future of precision medicine.]]></itunes:summary><itunes:duration>2366</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/035500030346b5c5c01cd250fe716f78.jpg"/><itunes:episode>252</itunes:episode><itunes:episodeType>full</itunes:episodeType></item><item><title>‘Black Women in Artificial Intelligence’ Founder Talks AI Education and Empowerment - Ep. 251</title><link>https://www.spreaker.com/episode/black-women-in-artificial-intelligence-founder-talks-ai-education-and-empowerment-ep-251--65484075</link><description><![CDATA[Angle Bush, founder and CEO of Black Women in Artificial Intelligence (BWIAI), discusses her mission to foster a more inclusive and diverse AI community. Learn how BWIAI is building a supportive network and providing resources to empower Black women in the tech industry.]]></description><guid isPermaLink="false">2b5b5238-148e-11f0-ab0c-b7e7a7987c5b</guid><pubDate>Wed, 09 Apr 2025 16:00:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/65484075/nvc5831197517.mp3" length="30735002" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>Angle Bush, founder and CEO of Black Women in Artificial Intelligence (BWIAI), discusses her mission to foster a more inclusive and diverse AI community. Learn how BWIAI is building a supportive network and providing resources to empower Black women...</itunes:subtitle><itunes:summary><![CDATA[Angle Bush, founder and CEO of Black Women in Artificial Intelligence (BWIAI), discusses her mission to foster a more inclusive and diverse AI community. Learn how BWIAI is building a supportive network and providing resources to empower Black women in the tech industry.]]></itunes:summary><itunes:duration>1280</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/3e9c9b3897c24affb4f2cbce712bcab6.jpg"/><itunes:episode>250</itunes:episode><itunes:episodeType>full</itunes:episodeType></item><item><title>NVIDIA’s Jacob Liberman on the Power of Agentic AI in the Enterprise - Ep. 250</title><link>https://www.spreaker.com/episode/nvidia-s-jacob-liberman-on-the-power-of-agentic-ai-in-the-enterprise-ep-250--65318248</link><description><![CDATA[Jacob Liberman, Director of Product Management at NVIDIA, discusses how agentic AI is transforming enterprises by automating complex tasks and enhancing human capabilities. Learn how NVIDIA Blueprints are making it easier for developers to deploy these intelligent agents and drive real business value.]]></description><guid isPermaLink="false">dca8389c-0f27-11f0-8da7-87d9daeaf3b1</guid><pubDate>Wed, 02 Apr 2025 16:00:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/65318248/nvc1684874550.mp3" length="42796082" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>Jacob Liberman, Director of Product Management at NVIDIA, discusses how agentic AI is transforming enterprises by automating complex tasks and enhancing human capabilities. Learn how NVIDIA Blueprints are making it easier for developers to deploy...</itunes:subtitle><itunes:summary><![CDATA[Jacob Liberman, Director of Product Management at NVIDIA, discusses how agentic AI is transforming enterprises by automating complex tasks and enhancing human capabilities. Learn how NVIDIA Blueprints are making it easier for developers to deploy these intelligent agents and drive real business value.]]></itunes:summary><itunes:duration>1783</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/7560ad74c52251b92a2209f58cd90036.jpg"/><itunes:episode>249</itunes:episode><itunes:episodeType>full</itunes:episodeType></item><item><title>Enhancing Grid Reliability: How Buzz Solutions Uses Vision AI to Prevent Outages and Wildfires - Episode 249</title><link>https://www.spreaker.com/episode/enhancing-grid-reliability-how-buzz-solutions-uses-vision-ai-to-prevent-outages-and-wildfires-episode-249--65134067</link><description><![CDATA[Kaitlyn Albertoli, CEO and cofounder of Buzz Solutions, discusses how the company uses vision AI to enhance the reliability of the electric grid by quickly identifying potential issues such as broken components, encroaching vegetation, and wildlife interference from inspection data collected by drones and helicopters. This technology helps prevent outages and wildfires, ensuring the grid remains robust and safe.]]></description><guid isPermaLink="false">9cce3e40-0998-11f0-b033-f337ffa422a0</guid><pubDate>Wed, 26 Mar 2025 13:00:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/65134067/nvc4254475272.mp3" length="52345899" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>Kaitlyn Albertoli, CEO and cofounder of Buzz Solutions, discusses how the company uses vision AI to enhance the reliability of the electric grid by quickly identifying potential issues such as broken components, encroaching vegetation, and wildlife...</itunes:subtitle><itunes:summary><![CDATA[Kaitlyn Albertoli, CEO and cofounder of Buzz Solutions, discusses how the company uses vision AI to enhance the reliability of the electric grid by quickly identifying potential issues such as broken components, encroaching vegetation, and wildlife interference from inspection data collected by drones and helicopters. This technology helps prevent outages and wildfires, ensuring the grid remains robust and safe.]]></itunes:summary><itunes:duration>2181</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/059ce2474249120d79abdf0f70908113.jpg"/><itunes:episode>249</itunes:episode><itunes:episodeType>full</itunes:episodeType></item><item><title>Roboflow Simplifies Computer Vision for Developers and the Enterprise - Ep. 248</title><link>https://www.spreaker.com/episode/roboflow-simplifies-computer-vision-for-developers-and-the-enterprise-ep-248--64713290</link><description><![CDATA[Joseph Nelson, co-founder and CEO of Roboflow, discusses how the company is making computer vision accessible to millions of developers and industries, from manufacturing to healthcare and more. ]]></description><guid isPermaLink="false">446d9d80-f922-11ef-826d-93763a168a12</guid><pubDate>Wed, 05 Mar 2025 16:00:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/64713290/nvc6283742998.mp3" length="55697016" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>Joseph Nelson, co-founder and CEO of Roboflow, discusses how the company is making computer vision accessible to millions of developers and industries, from manufacturing to healthcare and more. </itunes:subtitle><itunes:summary><![CDATA[Joseph Nelson, co-founder and CEO of Roboflow, discusses how the company is making computer vision accessible to millions of developers and industries, from manufacturing to healthcare and more. ]]></itunes:summary><itunes:duration>2321</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/0a780d8a407cb7a7d25f113082acd2c9.jpg"/><itunes:episode>247</itunes:episode><itunes:episodeType>full</itunes:episodeType></item><item><title>Telenor's Kaaren Hilsen on Launching Norway’s First AI Factory - Episode 247</title><link>https://www.spreaker.com/episode/telenor-s-kaaren-hilsen-on-launching-norway-s-first-ai-factory-episode-247--64606763</link><description><![CDATA[Telenor’s Chief Innovation Officer and Head of the AI Factory, Kaaren Hilsen, discusses Norway’s first AI factory. Opened in November, the facility processes sensitive data securely within Norway, ensuring data sovereignty and environmental sustainability. Learn how Telenor’s green computing initiatives, including a renewable energy-powered data center in Oslo, are advancing responsible and sustainable AI.]]></description><guid isPermaLink="false">f6227b84-f460-11ef-abfa-bfb1e0ee066d</guid><pubDate>Thu, 27 Feb 2025 16:00:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/64606763/nvc8727670438.mp3" length="33260553" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>Telenor’s Chief Innovation Officer and Head of the AI Factory, Kaaren Hilsen, discusses Norway’s first AI factory. Opened in November, the facility processes sensitive data securely within Norway, ensuring data sovereignty and environmental...</itunes:subtitle><itunes:summary><![CDATA[Telenor’s Chief Innovation Officer and Head of the AI Factory, Kaaren Hilsen, discusses Norway’s first AI factory. Opened in November, the facility processes sensitive data securely within Norway, ensuring data sovereignty and environmental sustainability. Learn how Telenor’s green computing initiatives, including a renewable energy-powered data center in Oslo, are advancing responsible and sustainable AI.]]></itunes:summary><itunes:duration>1386</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/ee9ef28862a1957b437485157b27a7aa.jpg"/><itunes:episode>247</itunes:episode><itunes:episodeType>full</itunes:episodeType></item><item><title>Temenos’ Barb Morgan Shares How AI Is Reshaping Banking - Episode 246</title><link>https://www.spreaker.com/episode/temenos-barb-morgan-shares-how-ai-is-reshaping-banking-episode-246--64454101</link><description><![CDATA[AI is transforming banking by providing hyper-personalized services and real-time insights, enhancing customer experiences and ensuring robust data security. Barb Morgan, chief product and technology officer at Temenos, shares her expertise on how AI is transforming the banking landscape.]]></description><guid isPermaLink="false">tag:soundcloud,2010:tracks/2037536680</guid><pubDate>Mon, 17 Feb 2025 00:00:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/64454101/2037536680_theaipodcast_barb_morgan_temenos.mp3" length="44251598" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>AI is transforming banking by providing hyper-personalized services and real-time insights, enhancing customer experiences and ensuring robust data security. Barb Morgan, chief product and technology officer at Temenos, shares her expertise on how AI...</itunes:subtitle><itunes:summary><![CDATA[AI is transforming banking by providing hyper-personalized services and real-time insights, enhancing customer experiences and ensuring robust data security. Barb Morgan, chief product and technology officer at Temenos, shares her expertise on how AI is transforming the banking landscape.]]></itunes:summary><itunes:duration>1844</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/48fe264328f62241e343a7f73a0910b0.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Tara Chklovksi, Anshita Saini on Technovation Pioneering AI Education for Innovation - Episode 245</title><link>https://www.spreaker.com/episode/tara-chklovksi-anshita-saini-on-technovation-pioneering-ai-education-for-innovation-episode-245--64322684</link><description><![CDATA[In this episode of the NVIDIA AI Podcast, Tara Chklovski, founder and CEO of Technovation, returns to discuss the importance of inclusive AI. With Anshita Saini, a Technovation alumna and OpenAI staff member, Chklovski explores how Technovation empowers girls through AI education and enhances real-world problem-solving skills. Saini shares her journey from creating an app that helped combat a vaping crisis at her high school to taking on her current role at OpenAI. She also introduces Wiser AI, an initiative she founded to support women and underrepresented voices in AI.]]></description><guid isPermaLink="false">tag:soundcloud,2010:tracks/2030812652</guid><pubDate>Sat, 08 Feb 2025 00:00:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/64322684/2030812652_theaipodcast_tara_chklovski_anshita_saini.mp3" length="49080908" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>In this episode of the NVIDIA AI Podcast, Tara Chklovski, founder and CEO of Technovation, returns to discuss the importance of inclusive AI. With Anshita Saini, a Technovation alumna and OpenAI staff member, Chklovski explores how Technovation...</itunes:subtitle><itunes:summary><![CDATA[In this episode of the NVIDIA AI Podcast, Tara Chklovski, founder and CEO of Technovation, returns to discuss the importance of inclusive AI. With Anshita Saini, a Technovation alumna and OpenAI staff member, Chklovski explores how Technovation empowers girls through AI education and enhances real-world problem-solving skills. Saini shares her journey from creating an app that helped combat a vaping crisis at her high school to taking on her current role at OpenAI. She also introduces Wiser AI, an initiative she founded to support women and underrepresented voices in AI.]]></itunes:summary><itunes:duration>2045</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/05308839b675e84230127c8bf27c1310.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>AI for Everyone: How Gooey.AI Empowers Global Frontline Workers with Low Code Workflows - Episode 244</title><link>https://www.spreaker.com/episode/ai-for-everyone-how-gooey-ai-empowers-global-frontline-workers-with-low-code-workflows-episode-244--64229650</link><description><![CDATA[Co-founders Sean Blagsvedt and Archana Prasad of Gooey.AI discuss how their platform is making AI more accessible across communities. The platform enables teams to leverage multiple AI tools, enhancing productivity in sectors like agriculture, healthcare, and frontline services. Key applications include multilingual chatbots that support African farmers through WhatsApp and AI assistants that help HVAC technicians access technical documentation.]]></description><guid isPermaLink="false">tag:soundcloud,2010:tracks/2025039724</guid><pubDate>Mon, 03 Feb 2025 00:00:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/64229650/2025039724_theaipodcast_gooey_ai.mp3" length="58479932" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>Co-founders Sean Blagsvedt and Archana Prasad of Gooey.AI discuss how their platform is making AI more accessible across communities. The platform enables teams to leverage multiple AI tools, enhancing productivity in sectors like agriculture,...</itunes:subtitle><itunes:summary><![CDATA[Co-founders Sean Blagsvedt and Archana Prasad of Gooey.AI discuss how their platform is making AI more accessible across communities. The platform enables teams to leverage multiple AI tools, enhancing productivity in sectors like agriculture, healthcare, and frontline services. Key applications include multilingual chatbots that support African farmers through WhatsApp and AI assistants that help HVAC technicians access technical documentation.]]></itunes:summary><itunes:duration>2437</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/c420a8d04160d8e589a66b30f5100161.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>AI Agents Take Digital Experiences to the Next Level in Gaming and Beyond, Featuring Chris Covert from Inworld AI - Episode 243</title><link>https://www.spreaker.com/episode/ai-agents-take-digital-experiences-to-the-next-level-in-gaming-and-beyond-featuring-chris-covert-from-inworld-ai-episode-243--64010935</link><description><![CDATA[AI agents with advanced perception and cognition capabilities are making digital experiences more dynamic and personalized across industries. In this episode of the NVIDIA AI Podcast, Inworld AI’s Chris Covert discusses how intelligent digital humans are reshaping interactive experiences, from gaming to healthcare, and emphasizes that the key to meaningful AI experiences lies in focusing on user value rather than just technology.]]></description><guid isPermaLink="false">tag:soundcloud,2010:tracks/2021182833</guid><pubDate>Wed, 29 Jan 2025 00:00:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/64010935/2021182833_theaipodcast_chris_covert_inworld.mp3" length="38226090" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>AI agents with advanced perception and cognition capabilities are making digital experiences more dynamic and personalized across industries. In this episode of the NVIDIA AI Podcast, Inworld AI’s Chris Covert discusses how intelligent digital humans...</itunes:subtitle><itunes:summary><![CDATA[AI agents with advanced perception and cognition capabilities are making digital experiences more dynamic and personalized across industries. In this episode of the NVIDIA AI Podcast, Inworld AI’s Chris Covert discusses how intelligent digital humans are reshaping interactive experiences, from gaming to healthcare, and emphasizes that the key to meaningful AI experiences lies in focusing on user value rather than just technology.]]></itunes:summary><itunes:duration>1593</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/07e798c782240dd3e4f8bcd1316052f8.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Firsthand's Jon Heller Shares How AI Agents Enhance Consumer Journeys in Retail - Episode 242</title><link>https://www.spreaker.com/episode/firsthand-s-jon-heller-shares-how-ai-agents-enhance-consumer-journeys-in-retail-episode-242--63815515</link><description><![CDATA[With AI agents, organizations can reshape the landscape in retail and beyond. In this episode of the NVIDIA AI Podcast, Jon Heller of Firsthand discusses how AI Brand Agents are transforming online shopping and digital marketing by personalizing customer journeys and turning marketing interactions into valuable research data.]]></description><guid isPermaLink="false">tag:soundcloud,2010:tracks/2014776835</guid><pubDate>Tue, 21 Jan 2025 00:00:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/63815515/2014776835_theaipodcast_jon_heller_firsthand.mp3" length="50820036" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>With AI agents, organizations can reshape the landscape in retail and beyond. In this episode of the NVIDIA AI Podcast, Jon Heller of Firsthand discusses how AI Brand Agents are transforming online shopping and digital marketing by personalizing...</itunes:subtitle><itunes:summary><![CDATA[With AI agents, organizations can reshape the landscape in retail and beyond. In this episode of the NVIDIA AI Podcast, Jon Heller of Firsthand discusses how AI Brand Agents are transforming online shopping and digital marketing by personalizing customer journeys and turning marketing interactions into valuable research data.]]></itunes:summary><itunes:duration>2118</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/0477f4b9d5a093e12f866648937743fc.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>How SDSC Uses AI to Transform Surgical Training and Practice - Episode 241</title><link>https://www.spreaker.com/episode/how-sdsc-uses-ai-to-transform-surgical-training-and-practice-episode-241--63701674</link><description><![CDATA[Margaux Masson-Forsythe, director of machine learning at the Surgical Data Science Collective (SDSC), discusses how AI-driven video analysis is transforming surgical training and practice, making surgery safer and more accessible to billions of people worldwide.]]></description><guid isPermaLink="false">tag:soundcloud,2010:tracks/2009018743</guid><pubDate>Mon, 13 Jan 2025 00:00:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/63701674/2009018743_theaipodcast_margaux_masson_forsythe_sdsc.mp3" length="37651772" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>Margaux Masson-Forsythe, director of machine learning at the Surgical Data Science Collective (SDSC), discusses how AI-driven video analysis is transforming surgical training and practice, making surgery safer and more accessible to billions of people...</itunes:subtitle><itunes:summary><![CDATA[Margaux Masson-Forsythe, director of machine learning at the Surgical Data Science Collective (SDSC), discusses how AI-driven video analysis is transforming surgical training and practice, making surgery safer and more accessible to billions of people worldwide.]]></itunes:summary><itunes:duration>1569</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/5b2a689b1eb14bf181f4332519dd0041.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>NVIDIA’s Ming-Yu Liu on How World Foundation Models Will Advance Physical AI - Episode 240</title><link>https://www.spreaker.com/episode/nvidia-s-ming-yu-liu-on-how-world-foundation-models-will-advance-physical-ai-episode-240--63602492</link><description><![CDATA[As AI continues to evolve rapidly, it is becoming more important to create models that can effectively simulate and predict outcomes in real-world environments. World foundation models are powerful neural networks that can simulate physical environments, enabling teams to enhance AI workflows and development. Ming-Yu Liu, vice president of research at NVIDIA and an IEEE Fellow, joined the NVIDIA AI Podcast to talk about world foundation models and how it will impact various industries. https://blogs.nvidia.com/blog/world-foundation-models-advance-physical-ai/  https://www.nvidia.com/cosmos/]]></description><guid isPermaLink="false">tag:soundcloud,2010:tracks/2000119463</guid><pubDate>Tue, 07 Jan 2025 16:00:01 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/63602492/2000119463_theaipodcast_world_foundation_models.mp3" length="29557244" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>As AI continues to evolve rapidly, it is becoming more important to create models that can effectively simulate and predict outcomes in real-world environments. World foundation models are powerful neural networks that can simulate physical...</itunes:subtitle><itunes:summary><![CDATA[As AI continues to evolve rapidly, it is becoming more important to create models that can effectively simulate and predict outcomes in real-world environments. World foundation models are powerful neural networks that can simulate physical environments, enabling teams to enhance AI workflows and development. Ming-Yu Liu, vice president of research at NVIDIA and an IEEE Fellow, joined the NVIDIA AI Podcast to talk about world foundation models and how it will impact various industries. https://blogs.nvidia.com/blog/world-foundation-models-advance-physical-ai/  https://www.nvidia.com/cosmos/]]></itunes:summary><itunes:duration>1232</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/4f3bacc1ad34080088a5b8d5519f6ab7.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Imbue CEO Kanjun Qiu on Transforming AI Agents Into Personal Collaborators - Ep. 239</title><link>https://www.spreaker.com/episode/imbue-ceo-kanjun-qiu-on-transforming-ai-agents-into-personal-collaborators-ep-239--63376374</link><description><![CDATA[In this episode of the NVIDIA AI Podcast, Kanjun Qiu, CEO of Imbue, explores the emerging era where individuals can create and utilize their own AI agents. Drawing a parallel to the personal computer revolution of the late 1970s and 80s, Qiu discusses how modern AI systems are evolving to work collaboratively with users, enhancing their capabilities rather than just automating tasks.]]></description><guid isPermaLink="false">tag:soundcloud,2010:tracks/1983647039</guid><pubDate>Mon, 16 Dec 2024 00:00:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/63376374/1983647039_theaipodcast_ai_agents_kanjun_qiu.mp3" length="48395900" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>In this episode of the NVIDIA AI Podcast, Kanjun Qiu, CEO of Imbue, explores the emerging era where individuals can create and utilize their own AI agents. Drawing a parallel to the personal computer revolution of the late 1970s and 80s, Qiu discusses...</itunes:subtitle><itunes:summary><![CDATA[In this episode of the NVIDIA AI Podcast, Kanjun Qiu, CEO of Imbue, explores the emerging era where individuals can create and utilize their own AI agents. Drawing a parallel to the personal computer revolution of the late 1970s and 80s, Qiu discusses how modern AI systems are evolving to work collaboratively with users, enhancing their capabilities rather than just automating tasks.]]></itunes:summary><itunes:duration>2017</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/8e626666d5e41d91cd7d96dea8af68fd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>How AI Can Help Boost Disability Inclusion - Ep. 238</title><link>https://www.spreaker.com/episode/how-ai-can-help-boost-disability-inclusion-ep-238--63129493</link><description><![CDATA[In this episode of the NVIDIA AI Podcast, Sara Minkara, U.S. Special Advisor on International Disability Rights, and Timothy Shriver, Chairman of Special Olympics, discuss AI's potential to enhance special education and disability inclusion. They emphasize the importance of including disability communities in AI development, as well as the cultural and social benefits of building an inclusive future.]]></description><guid isPermaLink="false">tag:soundcloud,2010:tracks/1972135971</guid><pubDate>Mon, 02 Dec 2024 00:00:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/63129493/1972135971_theaipodcast_sara_minkara_tim_shriver.mp3" length="51541436" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>In this episode of the NVIDIA AI Podcast, Sara Minkara, U.S. Special Advisor on International Disability Rights, and Timothy Shriver, Chairman of Special Olympics, discuss AI's potential to enhance special education and disability inclusion. They...</itunes:subtitle><itunes:summary><![CDATA[In this episode of the NVIDIA AI Podcast, Sara Minkara, U.S. Special Advisor on International Disability Rights, and Timothy Shriver, Chairman of Special Olympics, discuss AI's potential to enhance special education and disability inclusion. They emphasize the importance of including disability communities in AI development, as well as the cultural and social benefits of building an inclusive future.]]></itunes:summary><itunes:duration>2148</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/abc96da6649ddde886289d187588f4c2.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>NVIDIA's Louis Stewart on How AI Is Shaping Workforce Development - Ep. 237</title><link>https://www.spreaker.com/episode/nvidia-s-louis-stewart-on-how-ai-is-shaping-workforce-development-ep-237--63002539</link><description><![CDATA[In this episode of the NVIDIA's AI Podcast, Louis Stewart, head of strategic initiatives for NVIDIA’s global developer ecosystem, discusses why workforce development is crucial for maximizing AI benefits. He emphasizes the importance of AI education, inclusivity, and public-private partnerships in preparing the global workforce for the future. Engaging with AI tools and understanding their impact on the workforce landscape is vital for ensuring these changes benefit everyone.  https://blogs.nvidia.com/blog/workforce-development-ai/]]></description><guid isPermaLink="false">tag:soundcloud,2010:tracks/1957516771</guid><pubDate>Mon, 25 Nov 2024 00:00:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/63002539/1957516771_theaipodcast_ai_workforce_development.mp3" length="44987623" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>In this episode of the NVIDIA's AI Podcast, Louis Stewart, head of strategic initiatives for NVIDIA’s global developer ecosystem, discusses why workforce development is crucial for maximizing AI benefits. He emphasizes the importance of AI education,...</itunes:subtitle><itunes:summary><![CDATA[In this episode of the NVIDIA's AI Podcast, Louis Stewart, head of strategic initiatives for NVIDIA’s global developer ecosystem, discusses why workforce development is crucial for maximizing AI benefits. He emphasizes the importance of AI education, inclusivity, and public-private partnerships in preparing the global workforce for the future. Engaging with AI tools and understanding their impact on the workforce landscape is vital for ensuring these changes benefit everyone.  https://blogs.nvidia.com/blog/workforce-development-ai/]]></itunes:summary><itunes:duration>1875</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/461202477bd72aadb29f4d468b7a3384.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>How the Department of Energy Is Tapping AI to Transform Science, Industry and Government - Ep. 236</title><link>https://www.spreaker.com/episode/how-the-department-of-energy-is-tapping-ai-to-transform-science-industry-and-government-ep-236--62816386</link><description><![CDATA[Helena Fu, director of the DOE’s Office of Critical and Emerging Technologies (CET) and DOE’s chief AI officer, discusses the latest groundbreaking efforts with AI that are transforming national security, infrastructure, and scientific discovery. With oversight of 17 national labs and 34 facilities, the DOE is at the forefront of AI research and development.]]></description><guid isPermaLink="false">tag:soundcloud,2010:tracks/1957585027</guid><pubDate>Tue, 19 Nov 2024 17:21:17 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/62816386/1957585027_theaipodcast_helena_fu_department_of_energy.mp3" length="35787836" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>Helena Fu, director of the DOE’s Office of Critical and Emerging Technologies (CET) and DOE’s chief AI officer, discusses the latest groundbreaking efforts with AI that are transforming national security, infrastructure, and scientific discovery. With...</itunes:subtitle><itunes:summary><![CDATA[Helena Fu, director of the DOE’s Office of Critical and Emerging Technologies (CET) and DOE’s chief AI officer, discusses the latest groundbreaking efforts with AI that are transforming national security, infrastructure, and scientific discovery. With oversight of 17 national labs and 34 facilities, the DOE is at the forefront of AI research and development.]]></itunes:summary><itunes:duration>1492</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/3db8e6e98b82d051a1269bb3b320109e.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Zoom CTO Xuedong "XD" Huang on How AI Revolutionizes Productivity - Ep. 235</title><link>https://www.spreaker.com/episode/zoom-cto-xuedong-xd-huang-on-how-ai-revolutionizes-productivity-ep-235--62487977</link><description><![CDATA[Zoom, a company that helped change the way people work during the COVID-19 pandemic, is continuing to reimagine the future of work by transforming itself into an AI-first communications and productivity platform.   In this episode of NVIDIA’s AI Podcast, Zoom CTO Xuedong (XD) Huang shares how the company is reshaping productivity with AI, including through its Zoom AI Companion 2.0, unveiled recently at the Zoomtopia conference.   Designed to be a productivity partner, the AI companion is central to Zoom’s “federated AI” strategy, which focuses on integrating multiple large language models.   Huang also introduces the concept of “AUI,” combining conversational AI and graphical user interfaces (GUIs) to streamline collaboration and supercharge business performance.]]></description><guid isPermaLink="false">tag:soundcloud,2010:tracks/1940222278</guid><pubDate>Sun, 20 Oct 2024 00:00:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/62487977/1940222278_theaipodcast_zoom_xuedong_huang.mp3" length="35125333" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>Zoom, a company that helped change the way people work during the COVID-19 pandemic, is continuing to reimagine the future of work by transforming itself into an AI-first communications and productivity platform.   In this episode of NVIDIA’s AI...</itunes:subtitle><itunes:summary><![CDATA[Zoom, a company that helped change the way people work during the COVID-19 pandemic, is continuing to reimagine the future of work by transforming itself into an AI-first communications and productivity platform.   In this episode of NVIDIA’s AI Podcast, Zoom CTO Xuedong (XD) Huang shares how the company is reshaping productivity with AI, including through its Zoom AI Companion 2.0, unveiled recently at the Zoomtopia conference.   Designed to be a productivity partner, the AI companion is central to Zoom’s “federated AI” strategy, which focuses on integrating multiple large language models.   Huang also introduces the concept of “AUI,” combining conversational AI and graphical user interfaces (GUIs) to streamline collaboration and supercharge business performance.]]></itunes:summary><itunes:duration>2196</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/4d6fe4f9e90b075a7ce47bde4a4f7c18.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>NVIDIA's Josh Parker on How AI and Accelerated Computing Drive Sustainability - Ep. 234</title><link>https://www.spreaker.com/episode/nvidia-s-josh-parker-on-how-ai-and-accelerated-computing-drive-sustainability-ep-234--62209584</link><description><![CDATA[From improving energy efficiency to helping address climate challenges, AI and accelerated computing are becoming key tools in the push for sustainability. In this episode of NVIDIA’s AI Podcast, Joshua Parker, senior director of corporate sustainability, shared his perspective on how these technologies are contributing to a more sustainable future.]]></description><guid isPermaLink="false">tag:soundcloud,2010:tracks/1924472510</guid><pubDate>Wed, 02 Oct 2024 00:00:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/62209584/1924472510_theaipodcast_ai_accelerated_computing_sustainability.mp3" length="50436976" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>From improving energy efficiency to helping address climate challenges, AI and accelerated computing are becoming key tools in the push for sustainability. In this episode of NVIDIA’s AI Podcast, Joshua Parker, senior director of corporate...</itunes:subtitle><itunes:summary><![CDATA[From improving energy efficiency to helping address climate challenges, AI and accelerated computing are becoming key tools in the push for sustainability. In this episode of NVIDIA’s AI Podcast, Joshua Parker, senior director of corporate sustainability, shared his perspective on how these technologies are contributing to a more sustainable future.]]></itunes:summary><itunes:duration>2102</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/47f4f4b1cbae3db0a1b1c9a244f60e82.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>SonicJobs CEO Mikhil Raja on Using AI Agents to Connect the Internet, starting with Jobs - Ep. 233</title><link>https://www.spreaker.com/episode/sonicjobs-ceo-mikhil-raja-on-using-ai-agents-to-connect-the-internet-starting-with-jobs-ep-233--62027617</link><description><![CDATA[Companies in the US spend $15bn annually on talent acquisition. The most important metric in recruitment advertising is the conversion from the paid click on the job platform to the application the employer receives. Industry-wide, apply conversion is just 5%. Redirection of the candidate from the job platform to the company site is the biggest cause of abandonment; this step has a 70% bounce rate. In this episode of NVIDIA’s AI Podcast, host Noah Kravitz speaks with Mikhil Raja, Cofounder and CEO of SonicJobs, about how they have built AI Agents to enable candidates to complete applications directly on job platforms, without redirection, boosting completion rates to 26% from 5%. Raja delves deep into SonicJobs’ cutting-edge technology, which merges traditional AI with large language models (LLMs) to understand and interact with job application web flows. He also emphasizes the importance of fine-tuning foundational models to achieve more impactful and scalable innovations.  SonicJobs is a member of the NVIDIA Inception program for startups.]]></description><guid isPermaLink="false">tag:soundcloud,2010:tracks/1914925946</guid><pubDate>Tue, 17 Sep 2024 00:00:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/62027617/1914925946_theaipodcast_ai_sonicjobs.mp3" length="359443" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>Companies in the US spend $15bn annually on talent acquisition. The most important metric in recruitment advertising is the conversion from the paid click on the job platform to the application the employer receives. Industry-wide, apply conversion is...</itunes:subtitle><itunes:summary><![CDATA[Companies in the US spend $15bn annually on talent acquisition. The most important metric in recruitment advertising is the conversion from the paid click on the job platform to the application the employer receives. Industry-wide, apply conversion is just 5%. Redirection of the candidate from the job platform to the company site is the biggest cause of abandonment; this step has a 70% bounce rate. In this episode of NVIDIA’s AI Podcast, host Noah Kravitz speaks with Mikhil Raja, Cofounder and CEO of SonicJobs, about how they have built AI Agents to enable candidates to complete applications directly on job platforms, without redirection, boosting completion rates to 26% from 5%. Raja delves deep into SonicJobs’ cutting-edge technology, which merges traditional AI with large language models (LLMs) to understand and interact with job application web flows. He also emphasizes the importance of fine-tuning foundational models to achieve more impactful and scalable innovations.  SonicJobs is a member of the NVIDIA Inception program for startups.]]></itunes:summary><itunes:duration>23</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/287bf676da47f548a30c90e8c1786c4f.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Machina Labs’ Edward Mehr on Autonomous Blacksmith Bots and More</title><link>https://www.spreaker.com/episode/machina-labs-edward-mehr-on-autonomous-blacksmith-bots-and-more--61261894</link><description><![CDATA[Edward Mehr works where AI meets the anvil.  The company he cofounded, Machina Labs, blends the latest advancements in robotics and AI to form metal into countless shapes for use in defense, aerospace, and more. The company’s applications accelerate design and innovation, enabling rapid iteration and production in days instead of the months required by conventional processes. NVIDIA AI Podcast host Noah Kravitz speaks with Mehr, CEO of Machina Labs, on how the company uses AI to develop the first-ever robotic blacksmith. Its Robotic Craftsman platform integrates seven-axis robots that can shape, scan, trim and drill a wide range of materials — all capabilities made possible through AI.]]></description><guid isPermaLink="false">tag:soundcloud,2010:tracks/1906641035</guid><pubDate>Wed, 04 Sep 2024 00:00:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/61261894/1906641035_theaipodcast_machina_labs_edward_mehr_on_autonomous_blacksmith_bots_and_more.mp3" length="35933568" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>Edward Mehr works where AI meets the anvil.  The company he cofounded, Machina Labs, blends the latest advancements in robotics and AI to form metal into countless shapes for use in defense, aerospace, and more. The company’s applications accelerate...</itunes:subtitle><itunes:summary><![CDATA[Edward Mehr works where AI meets the anvil.  The company he cofounded, Machina Labs, blends the latest advancements in robotics and AI to form metal into countless shapes for use in defense, aerospace, and more. The company’s applications accelerate design and innovation, enabling rapid iteration and production in days instead of the months required by conventional processes. NVIDIA AI Podcast host Noah Kravitz speaks with Mehr, CEO of Machina Labs, on how the company uses AI to develop the first-ever robotic blacksmith. Its Robotic Craftsman platform integrates seven-axis robots that can shape, scan, trim and drill a wide range of materials — all capabilities made possible through AI.]]></itunes:summary><itunes:duration>2246</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/70aab51796f197d9a53b4f9d1a834d40.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Snowflake's Baris Gultekin on Unlocking the Value of Data With Large Language Models - Ep. 231</title><link>https://www.spreaker.com/episode/snowflake-s-baris-gultekin-on-unlocking-the-value-of-data-with-large-language-models-ep-231--61103484</link><description><![CDATA[Snowflake is using AI to help enterprises transform data into insights and applications. In this episode of NVIDIA’s AI Podcast, host Noah Kravitz and Baris Gultekin, head of AI at Snowflake, discuss how the company’s AI Data Cloud platform enables customers to access and manage data at scale. By separating the storage of data from compute, Snowflake has allowed organizations across the world to connect via cloud technology and work on a unified platform — eliminating data silos and streamlining collaborative workflows.]]></description><guid isPermaLink="false">tag:soundcloud,2010:tracks/1900414140</guid><pubDate>Wed, 21 Aug 2024 13:00:17 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/61103484/1900414140_theaipodcast_snowflake_ai.mp3" length="30882428" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>Snowflake is using AI to help enterprises transform data into insights and applications. In this episode of NVIDIA’s AI Podcast, host Noah Kravitz and Baris Gultekin, head of AI at Snowflake, discuss how the company’s AI Data Cloud platform enables...</itunes:subtitle><itunes:summary><![CDATA[Snowflake is using AI to help enterprises transform data into insights and applications. In this episode of NVIDIA’s AI Podcast, host Noah Kravitz and Baris Gultekin, head of AI at Snowflake, discuss how the company’s AI Data Cloud platform enables customers to access and manage data at scale. By separating the storage of data from compute, Snowflake has allowed organizations across the world to connect via cloud technology and work on a unified platform — eliminating data silos and streamlining collaborative workflows.]]></itunes:summary><itunes:duration>1931</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/162f22363dd5edc5a667ed7b9e24a6b4.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Recursion CEO Chris Gibson on Accelerating the Biopharmaceutical Industry With AI - Ep. 230</title><link>https://www.spreaker.com/episode/recursion-ceo-chris-gibson-on-accelerating-the-biopharmaceutical-industry-with-ai-ep-230--60946982</link><description><![CDATA[Techbio is a field combining data, technology and biology to enhance scientific processes — and AI has the potential to supercharge the biopharmaceutical industry further.  In this episode of NVIDIA’s AI Podcast, host Noah Kravitz speaks with Chris Gibson, cofounder and CEO of Recursion, about how the company uses AI and machine learning to accelerate drug discovery and development at scale. Tune in to hear Gibson discuss how AI is transforming the biopharmaceutical industry by increasing efficiency and lowering discovery costs.]]></description><guid isPermaLink="false">tag:soundcloud,2010:tracks/1879973706</guid><pubDate>Mon, 05 Aug 2024 00:00:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/60946982/1879973706_theaipodcast_recursion_ceo_chris_gibson.mp3" length="36414716" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>Techbio is a field combining data, technology and biology to enhance scientific processes — and AI has the potential to supercharge the biopharmaceutical industry further.  In this episode of NVIDIA’s AI Podcast, host Noah Kravitz speaks with Chris...</itunes:subtitle><itunes:summary><![CDATA[Techbio is a field combining data, technology and biology to enhance scientific processes — and AI has the potential to supercharge the biopharmaceutical industry further.  In this episode of NVIDIA’s AI Podcast, host Noah Kravitz speaks with Chris Gibson, cofounder and CEO of Recursion, about how the company uses AI and machine learning to accelerate drug discovery and development at scale. Tune in to hear Gibson discuss how AI is transforming the biopharmaceutical industry by increasing efficiency and lowering discovery costs.]]></itunes:summary><itunes:duration>2276</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/4c0c56ea8d01c1f6ed94e237092d08b4.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>How Georgia Tech’s AI Makerspace Is Preparing the Future Workforce for AI - Ep. 229</title><link>https://www.spreaker.com/episode/how-georgia-tech-s-ai-makerspace-is-preparing-the-future-workforce-for-ai-ep-229--60788045</link><description><![CDATA[AI is set to transform the workforce — and the Georgia Institute of Technology’s new AI Makerspace is helping tens of thousands of students get ahead of the curve. In this episode of NVIDIA’s AI Podcast, host Noah Kravitz speaks with Arijit Raychowdhury, a professor and Steve W. Cedex school chair of electrical engineering at Georgia Tech’s college of engineering, about the supercomputer hub, which provides students with the computing resources to reinforce their coursework and gain hands-on experience with AI. Built in collaboration with NVIDIA, the AI Makerspace underscores Georgia Tech’s commitment to preparing students for an AI-driven future, while fostering collaboration with local schools and universities.]]></description><guid isPermaLink="false">tag:soundcloud,2010:tracks/1868252172</guid><pubDate>Sat, 20 Jul 2024 00:00:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/60788045/1868252172_theaipodcast_georgia_tech.mp3" length="46163218" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>AI is set to transform the workforce — and the Georgia Institute of Technology’s new AI Makerspace is helping tens of thousands of students get ahead of the curve. In this episode of NVIDIA’s AI Podcast, host Noah Kravitz speaks with Arijit...</itunes:subtitle><itunes:summary><![CDATA[AI is set to transform the workforce — and the Georgia Institute of Technology’s new AI Makerspace is helping tens of thousands of students get ahead of the curve. In this episode of NVIDIA’s AI Podcast, host Noah Kravitz speaks with Arijit Raychowdhury, a professor and Steve W. Cedex school chair of electrical engineering at Georgia Tech’s college of engineering, about the supercomputer hub, which provides students with the computing resources to reinforce their coursework and gain hands-on experience with AI. Built in collaboration with NVIDIA, the AI Makerspace underscores Georgia Tech’s commitment to preparing students for an AI-driven future, while fostering collaboration with local schools and universities.]]></itunes:summary><itunes:duration>1921</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/c639706bedd8d0b5e249bf90482fa1cc.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Paige Cofounder Thomas Fuchs’ Diagnosis on Improving Cancer Patient Outcomes With AI - Ep. 228</title><link>https://www.spreaker.com/episode/paige-cofounder-thomas-fuchs-diagnosis-on-improving-cancer-patient-outcomes-with-ai-ep-228--60655983</link><description><![CDATA[Improved cancer diagnostics — and improved patient outcomes — could be among the changes generative AI will bring to the healthcare industry, thanks to Paige, the first company with an FDA-approved tool for cancer diagnosis. In this episode of NVIDIA’s AI Podcast, host Noah Kravitz speaks with Paige cofounder and Chief Scientific Officer Thomas Fuchs. He’s also dean of artificial intelligence and human health at the Icahn School of Medicine at Mount Sinai.   Tune in to hear Fuchs on machine learning and AI applications and how technology brings better precision and care to the medical industry.]]></description><guid isPermaLink="false">tag:soundcloud,2010:tracks/1864135386</guid><pubDate>Wed, 10 Jul 2024 18:19:59 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/60655983/1864135386_theaipodcast_paige_thomas_fuchs.mp3" length="27876967" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>Improved cancer diagnostics — and improved patient outcomes — could be among the changes generative AI will bring to the healthcare industry, thanks to Paige, the first company with an FDA-approved tool for cancer diagnosis. In this episode of...</itunes:subtitle><itunes:summary><![CDATA[Improved cancer diagnostics — and improved patient outcomes — could be among the changes generative AI will bring to the healthcare industry, thanks to Paige, the first company with an FDA-approved tool for cancer diagnosis. In this episode of NVIDIA’s AI Podcast, host Noah Kravitz speaks with Paige cofounder and Chief Scientific Officer Thomas Fuchs. He’s also dean of artificial intelligence and human health at the Icahn School of Medicine at Mount Sinai.   Tune in to hear Fuchs on machine learning and AI applications and how technology brings better precision and care to the medical industry.]]></itunes:summary><itunes:duration>1992</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/d48345a2f12e6b1380ec2519818d9048.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>How Roblox Uses Generative AI to Enhance User Experiences - Ep. 227</title><link>https://www.spreaker.com/episode/how-roblox-uses-generative-ai-to-enhance-user-experiences-ep-227--60515421</link><description><![CDATA[Roblox is a colorful online platform that aims to reimagine the way that people come together — now that vision is being augmented by generative AI. In this episode of NVIDIA’s AI Podcast, host Noah Kravitz speaks with Anupan Singh, vice president of AI and growth engineering at Roblox, on how the company is using the technology to enhance virtual experiences with features such as automated chat filters and real-time text translation, which help build inclusivity and user safety. Singh also discusses how generative AI can be used to power coding assistants that help creators focus more on creative expression, rather than spending time manually scripting world-building features.]]></description><guid isPermaLink="false">tag:soundcloud,2010:tracks/1851430170</guid><pubDate>Sun, 23 Jun 2024 00:00:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/60515421/1851430170_theaipodcast_anumpam_singh_roblox.mp3" length="27873310" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>Roblox is a colorful online platform that aims to reimagine the way that people come together — now that vision is being augmented by generative AI. In this episode of NVIDIA’s AI Podcast, host Noah Kravitz speaks with Anupan Singh, vice president of...</itunes:subtitle><itunes:summary><![CDATA[Roblox is a colorful online platform that aims to reimagine the way that people come together — now that vision is being augmented by generative AI. In this episode of NVIDIA’s AI Podcast, host Noah Kravitz speaks with Anupan Singh, vice president of AI and growth engineering at Roblox, on how the company is using the technology to enhance virtual experiences with features such as automated chat filters and real-time text translation, which help build inclusivity and user safety. Singh also discusses how generative AI can be used to power coding assistants that help creators focus more on creative expression, rather than spending time manually scripting world-building features.]]></itunes:summary><itunes:duration>1743</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/3692590679f64913452963be72000f3d.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Michael Rubloff Explains How Neural Radiance Fields Turn 2D Images Into 3D Models - Ep. 226</title><link>https://www.spreaker.com/episode/michael-rubloff-explains-how-neural-radiance-fields-turn-2d-images-into-3d-models-ep-226--60361861</link><description><![CDATA[Let’s talk about NeRFs — no, not the neon-colored foam dart blasters, but neural radiance fields, a technology that might just change the nature of images forever. In this episode of NVIDIA’s AI Podcast recorded live at GTC, host Noah Kravitz speaks with Michael Rubloff, founder and managing editor of radiancefields.com, about radiance field-based technologies. NeRFs allow users to take a series of 2D images or video to create a hyperrealistic 3D model — something like a photograph of a scene, but that can be looked at from multiple angles. Tune in to learn more about the technology’s creative and commercial applications and how it might transform the way people capture and experience the world.]]></description><guid isPermaLink="false">tag:soundcloud,2010:tracks/1844347677</guid><pubDate>Mon, 10 Jun 2024 00:00:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/60361861/1844347677_theaipodcast_nerf.mp3" length="23846400" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>Let’s talk about NeRFs — no, not the neon-colored foam dart blasters, but neural radiance fields, a technology that might just change the nature of images forever. In this episode of NVIDIA’s AI Podcast recorded live at GTC, host Noah Kravitz speaks...</itunes:subtitle><itunes:summary><![CDATA[Let’s talk about NeRFs — no, not the neon-colored foam dart blasters, but neural radiance fields, a technology that might just change the nature of images forever. In this episode of NVIDIA’s AI Podcast recorded live at GTC, host Noah Kravitz speaks with Michael Rubloff, founder and managing editor of radiancefields.com, about radiance field-based technologies. NeRFs allow users to take a series of 2D images or video to create a hyperrealistic 3D model — something like a photograph of a scene, but that can be looked at from multiple angles. Tune in to learn more about the technology’s creative and commercial applications and how it might transform the way people capture and experience the world.]]></itunes:summary><itunes:duration>1491</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/2bedd8592f7fb8692ec595dc9dcc309a.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Yotta CEO Sunil Gupta on Supercharging India’s Fast-Growing AI Market - Ep. 225</title><link>https://www.spreaker.com/episode/yotta-ceo-sunil-gupta-on-supercharging-india-s-fast-growing-ai-market-ep-225--60289230</link><description><![CDATA[India’s AI market is expected to be massive. Yotta Data Services is setting its sights on supercharging it. In this episode of NVIDIA’s AI Podcast, Sunil Gupta, cofounder, managing director and CEO of Yotta Data Services, speaks with host Noah Kravitz about the company’s Shakti Cloud offering, which provides scalable GPU services for enterprises of all sizes. Yotta is the first Indian cloud services provider in the NVIDIA Partner Network, and its Shakti Cloud is India’s fastest AI supercomputing infrastructure, with 16 exaflops of compute capacity supported by over 16,000 NVIDIA H100 Tensor Core GPUs. Tune in to hear Gupta’s insights on India’s potential as a major AI market and how to balance data center growth with sustainability and energy efficiency.]]></description><guid isPermaLink="false">tag:soundcloud,2010:tracks/1837778895</guid><pubDate>Mon, 03 Jun 2024 00:00:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/60289230/1837778895_theaipodcast_yotta_ceo_sunil_gupta.mp3" length="64030840" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>India’s AI market is expected to be massive. Yotta Data Services is setting its sights on supercharging it. In this episode of NVIDIA’s AI Podcast, Sunil Gupta, cofounder, managing director and CEO of Yotta Data Services, speaks with host Noah Kravitz...</itunes:subtitle><itunes:summary><![CDATA[India’s AI market is expected to be massive. Yotta Data Services is setting its sights on supercharging it. In this episode of NVIDIA’s AI Podcast, Sunil Gupta, cofounder, managing director and CEO of Yotta Data Services, speaks with host Noah Kravitz about the company’s Shakti Cloud offering, which provides scalable GPU services for enterprises of all sizes. Yotta is the first Indian cloud services provider in the NVIDIA Partner Network, and its Shakti Cloud is India’s fastest AI supercomputing infrastructure, with 16 exaflops of compute capacity supported by over 16,000 NVIDIA H100 Tensor Core GPUs. Tune in to hear Gupta’s insights on India’s potential as a major AI market and how to balance data center growth with sustainability and energy efficiency.]]></itunes:summary><itunes:duration>2001</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/28b0ab4a49db54ba68edd8251287be5f.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>How Two Stanford Students Are Building Robots for Handling Household Chores - Ep. 224</title><link>https://www.spreaker.com/episode/how-two-stanford-students-are-building-robots-for-handling-household-chores-ep-224--60209037</link><description><![CDATA[Imagine having a robot that could help you clean up after a party — or fold heaps of laundry. Chengshu Eric Li and Josiah David Wong, two Stanford University Ph.D. students advised by renowned American computer scientist Professor Fei-Fei Li, are making that a ‌dream come true. In this episode of the AI Podcast, host Noah Kravitz spoke with the two about their project, BEHAVIOR-1K, which aims to enable robots to perform 1,000 household chores, including picking up fallen objects or cooking. To train the robots, they’re using the NVIDIA Omniverse platform, as well as reinforcement and imitation learning techniques. Listen to hear more about the breakthroughs and challenges Li and Wong experienced along the way.]]></description><guid isPermaLink="false">tag:soundcloud,2010:tracks/1832461098</guid><pubDate>Mon, 27 May 2024 00:00:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/60209037/1832461098_theaipodcast_household_robots.mp3" length="29452746" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>Imagine having a robot that could help you clean up after a party — or fold heaps of laundry. Chengshu Eric Li and Josiah David Wong, two Stanford University Ph.D. students advised by renowned American computer scientist Professor Fei-Fei Li, are...</itunes:subtitle><itunes:summary><![CDATA[Imagine having a robot that could help you clean up after a party — or fold heaps of laundry. Chengshu Eric Li and Josiah David Wong, two Stanford University Ph.D. students advised by renowned American computer scientist Professor Fei-Fei Li, are making that a ‌dream come true. In this episode of the AI Podcast, host Noah Kravitz spoke with the two about their project, BEHAVIOR-1K, which aims to enable robots to perform 1,000 household chores, including picking up fallen objects or cooking. To train the robots, they’re using the NVIDIA Omniverse platform, as well as reinforcement and imitation learning techniques. Listen to hear more about the breakthroughs and challenges Li and Wong experienced along the way.]]></itunes:summary><itunes:duration>1841</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/c9142b124fb470d47309707f5e6eaa29.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Basecamp's Phil Lorenz on Combining AI With Biodiversity Data  - Ep. 223</title><link>https://www.spreaker.com/episode/basecamp-s-phil-lorenz-on-combining-ai-with-biodiversity-data-ep-223--60046002</link><description><![CDATA[Basecamp Research is on a mission to capture the vastness of life on Earth at an unprecedented scale. Phil Lorenz, chief technology officer at Basecamp Research, discusses using AI and biodiversity data to advance fields like medicine and environmental conservation with host Noah Kravitz in this AI Podcast episode recorded live at the NVIDIA GTC global AI conference. Lorenz explains Basecamp’s systematic collection of biodiversity data in partnership with nature parks worldwide and its use of deep learning to analyze and apply it for use cases such as protein structure prediction and gene editing. He also emphasizes the importance of ethical data governance and touches on technological advancements that will help drive the future of AI in biology.]]></description><guid isPermaLink="false">tag:soundcloud,2010:tracks/1821274848</guid><pubDate>Wed, 15 May 2024 13:00:02 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/60046002/1821274848_theaipodcast_basecamp_phil_lorenz.mp3" length="28223946" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>Basecamp Research is on a mission to capture the vastness of life on Earth at an unprecedented scale. Phil Lorenz, chief technology officer at Basecamp Research, discusses using AI and biodiversity data to advance fields like medicine and...</itunes:subtitle><itunes:summary><![CDATA[Basecamp Research is on a mission to capture the vastness of life on Earth at an unprecedented scale. Phil Lorenz, chief technology officer at Basecamp Research, discusses using AI and biodiversity data to advance fields like medicine and environmental conservation with host Noah Kravitz in this AI Podcast episode recorded live at the NVIDIA GTC global AI conference. Lorenz explains Basecamp’s systematic collection of biodiversity data in partnership with nature parks worldwide and its use of deep learning to analyze and apply it for use cases such as protein structure prediction and gene editing. He also emphasizes the importance of ethical data governance and touches on technological advancements that will help drive the future of AI in biology.]]></itunes:summary><itunes:duration>1764</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/6e98289fbe62bea43864f20c82bd221f.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Media.Monks’ Lewis Smithingham on Enhancing Media and Marketing With AI - Ep. 222</title><link>https://www.spreaker.com/episode/media-monks-lewis-smithingham-on-enhancing-media-and-marketing-with-ai-ep-222--59922400</link><description><![CDATA[Meet Media.Monks’ Wormhole, an alien-like, conversational robot with a quirky personality and the ability to offer keen marketing expertise. Lewis Smithingham, senior vice president of innovation and special ops at Media.Monks, a global marketing and advertising company, discusses the creation of Wormhole and AI’s potential to enhance media and entertainment with host Noah Kravitz in this AI Podcast episode recorded live at the NVIDIA GTC global AI conference. Wormhole was designed to showcase Monks.Flow, an AI-powered platform that streamlines marketing and content creation workflows. Smithingham delves into Media.Monks’ platforms for media, entertainment and advertising and speaks to its vision for a future where AI enhances creativity and allows for more personalized, scalable content creation.]]></description><guid isPermaLink="false">tag:soundcloud,2010:tracks/1816942410</guid><pubDate>Wed, 08 May 2024 00:00:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/59922400/1816942410_theaipodcast_mediamonks_lewis_smithingham.mp3" length="40872645" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>Meet Media.Monks’ Wormhole, an alien-like, conversational robot with a quirky personality and the ability to offer keen marketing expertise. Lewis Smithingham, senior vice president of innovation and special ops at Media.Monks, a global marketing and...</itunes:subtitle><itunes:summary><![CDATA[Meet Media.Monks’ Wormhole, an alien-like, conversational robot with a quirky personality and the ability to offer keen marketing expertise. Lewis Smithingham, senior vice president of innovation and special ops at Media.Monks, a global marketing and advertising company, discusses the creation of Wormhole and AI’s potential to enhance media and entertainment with host Noah Kravitz in this AI Podcast episode recorded live at the NVIDIA GTC global AI conference. Wormhole was designed to showcase Monks.Flow, an AI-powered platform that streamlines marketing and content creation workflows. Smithingham delves into Media.Monks’ platforms for media, entertainment and advertising and speaks to its vision for a future where AI enhances creativity and allows for more personalized, scalable content creation.]]></itunes:summary><itunes:duration>2555</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/0cf554feb1182f8eccdee0416974a1b8.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Explainable AI: Insights from Arthur's Adam Wenchel – Ep. 221</title><link>https://www.spreaker.com/episode/explainable-ai-insights-from-arthur-s-adam-wenchel-ep-221--59753765</link><description><![CDATA[In this episode of the NVIDIA AI Podcast, recorded live at the GTC 2024, host Noah Kravitz sits down with Adam Wenchel, co-founder and CEO of Arthur. Arthur enhances the performance of AI systems across various metrics like accuracy, explainability, and fairness. Wenchel shares insights into the challenges and opportunities of deploying generative AI. The discussion spans a range of topics, including AI bias, the observability of AI systems, and the practical implications of AI in business. For more on Arthur, visit arthur.ai.]]></description><guid isPermaLink="false">tag:soundcloud,2010:tracks/1811598663</guid><pubDate>Wed, 01 May 2024 19:01:57 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/59753765/1811598663_theaipodcast_arthur_adam_wenchel.mp3" length="25732074" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>In this episode of the NVIDIA AI Podcast, recorded live at the GTC 2024, host Noah Kravitz sits down with Adam Wenchel, co-founder and CEO of Arthur. Arthur enhances the performance of AI systems across various metrics like accuracy, explainability,...</itunes:subtitle><itunes:summary><![CDATA[In this episode of the NVIDIA AI Podcast, recorded live at the GTC 2024, host Noah Kravitz sits down with Adam Wenchel, co-founder and CEO of Arthur. Arthur enhances the performance of AI systems across various metrics like accuracy, explainability, and fairness. Wenchel shares insights into the challenges and opportunities of deploying generative AI. The discussion spans a range of topics, including AI bias, the observability of AI systems, and the practical implications of AI in business. For more on Arthur, visit arthur.ai.]]></itunes:summary><itunes:duration>1609</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/23fe096836c5b57447f3b7d1aebf8bbc.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>AI2’s Christopher Bretherton Discusses Using Machine Learning for Climate Modeling - Ep. 220</title><link>https://www.spreaker.com/episode/ai2-s-christopher-bretherton-discusses-using-machine-learning-for-climate-modeling-ep-220--59630724</link><description><![CDATA[Can machine learning help predict extreme weather events and climate change? Christopher Bretherton, senior director of climate modeling at the Allen Institute for Artificial Intelligence, or AI2, explores the technology’s potential to enhance climate modeling with AI Podcast host Noah Kravitz in an episode recorded live at the NVIDIA GTC global AI conference. Bretherton explains how machine learning helps overcome the limitations of traditional climate models and underscores the role of localized predictions in empowering communities to prepare for climate-related risks. Through ongoing research and collaboration, Bretherton and his team aim to improve climate modeling and enable society to better mitigate and adapt to the impacts of climate change.]]></description><guid isPermaLink="false">tag:soundcloud,2010:tracks/1806553098</guid><pubDate>Wed, 24 Apr 2024 00:00:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/59630724/1806553098_theaipodcast_christopher_bretherton.mp3" length="31199816" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>Can machine learning help predict extreme weather events and climate change? Christopher Bretherton, senior director of climate modeling at the Allen Institute for Artificial Intelligence, or AI2, explores the technology’s potential to enhance climate...</itunes:subtitle><itunes:summary><![CDATA[Can machine learning help predict extreme weather events and climate change? Christopher Bretherton, senior director of climate modeling at the Allen Institute for Artificial Intelligence, or AI2, explores the technology’s potential to enhance climate modeling with AI Podcast host Noah Kravitz in an episode recorded live at the NVIDIA GTC global AI conference. Bretherton explains how machine learning helps overcome the limitations of traditional climate models and underscores the role of localized predictions in empowering communities to prepare for climate-related risks. Through ongoing research and collaboration, Bretherton and his team aim to improve climate modeling and enable society to better mitigate and adapt to the impacts of climate change.]]></itunes:summary><itunes:duration>1950</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/f2aed3c0b2df6dc171ac439577c05917.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Living Optics CEO Robin Wang on Democratizing Hyperspectral Imaging - Ep. 219</title><link>https://www.spreaker.com/episode/living-optics-ceo-robin-wang-on-democratizing-hyperspectral-imaging-ep-219--59514553</link><description><![CDATA[Step into the realm of the unseen with Robin Wang, CEO of Living Optics. The startup cofounder discusses the power of hyperspectral imaging with AI Podcast host Noah Kravitz in an episode recorded live at the NVIDIA GTC global AI conference. Living Optics’ hyperspectral imaging camera, which can capture visual data across 96 colors, reveals details invisible to the human eye. Potential applications are as diverse as monitoring plant health to detecting cracks in bridges. The startup aims to empower users across industries to gain new insights from richer, more informative datasets fueled by hyperspectral imaging technology.   Living Optics is a member of the NVIDIA Inception program for cutting-edge startups.  Stay tuned for more episodes recorded live from GTC.]]></description><guid isPermaLink="false">tag:soundcloud,2010:tracks/1802251500</guid><pubDate>Tue, 16 Apr 2024 00:00:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/59514553/1802251500_theaipodcast_robin_wang.mp3" length="25511809" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>Step into the realm of the unseen with Robin Wang, CEO of Living Optics. The startup cofounder discusses the power of hyperspectral imaging with AI Podcast host Noah Kravitz in an episode recorded live at the NVIDIA GTC global AI conference. Living...</itunes:subtitle><itunes:summary><![CDATA[Step into the realm of the unseen with Robin Wang, CEO of Living Optics. The startup cofounder discusses the power of hyperspectral imaging with AI Podcast host Noah Kravitz in an episode recorded live at the NVIDIA GTC global AI conference. Living Optics’ hyperspectral imaging camera, which can capture visual data across 96 colors, reveals details invisible to the human eye. Potential applications are as diverse as monitoring plant health to detecting cracks in bridges. The startup aims to empower users across industries to gain new insights from richer, more informative datasets fueled by hyperspectral imaging technology.   Living Optics is a member of the NVIDIA Inception program for cutting-edge startups.  Stay tuned for more episodes recorded live from GTC.]]></itunes:summary><itunes:duration>1595</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/038dc1d642b3080f53ad320ac57e4fbb.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Cleanlab's Curtis Northcutt and Berkeley Research Group's Steven Gawthorpe on AI for Fighting Crime</title><link>https://www.spreaker.com/episode/cleanlab-s-curtis-northcutt-and-berkeley-research-group-s-steven-gawthorpe-on-ai-for-fighting-crime--59391218</link><description><![CDATA[Talk about scrubbing data. Curtis Northcutt, cofounder and CEO of Cleanlab, and Steven Gawthorpe, senior data scientist at Berkeley Research Group, speak about Cleanlab’s groundbreaking approach to data curation with Noah Kravitz, host of NVIDIA’s AI Podcast, in an episode recorded live at the NVIDIA GTC global AI conference. The startup’s tools enhance data reliability and trustworthiness through sophisticated error identification and correction algorithms. Northcutt and Gawthorpe provide insights into how AI-powered data analytics can help combat economic crimes and corruption and discuss the intersection of AI, data science and ethical governance in fostering a more just society.   Cleanlab is a member of the NVIDIA Inception program for cutting-edge startups.   https://blogs.nvidia.com/blog/cleanlab-podcast/]]></description><guid isPermaLink="false">tag:soundcloud,2010:tracks/1797413893</guid><pubDate>Mon, 08 Apr 2024 00:00:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/59391218/1797413893_theaipodcast_cleanlabs_ai.mp3" length="31497403" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>Talk about scrubbing data. Curtis Northcutt, cofounder and CEO of Cleanlab, and Steven Gawthorpe, senior data scientist at Berkeley Research Group, speak about Cleanlab’s groundbreaking approach to data curation with Noah Kravitz, host of NVIDIA’s AI...</itunes:subtitle><itunes:summary><![CDATA[Talk about scrubbing data. Curtis Northcutt, cofounder and CEO of Cleanlab, and Steven Gawthorpe, senior data scientist at Berkeley Research Group, speak about Cleanlab’s groundbreaking approach to data curation with Noah Kravitz, host of NVIDIA’s AI Podcast, in an episode recorded live at the NVIDIA GTC global AI conference. The startup’s tools enhance data reliability and trustworthiness through sophisticated error identification and correction algorithms. Northcutt and Gawthorpe provide insights into how AI-powered data analytics can help combat economic crimes and corruption and discuss the intersection of AI, data science and ethical governance in fostering a more just society.   Cleanlab is a member of the NVIDIA Inception program for cutting-edge startups.   https://blogs.nvidia.com/blog/cleanlab-podcast/]]></itunes:summary><itunes:duration>1969</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/e0b4a8c4c7389a70972a666ab77c37e1.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Dotlumen CEO Cornel Amariei on Assistive Technology for the Visually Impaired</title><link>https://www.spreaker.com/episode/dotlumen-ceo-cornel-amariei-on-assistive-technology-for-the-visually-impaired--59276575</link><description><![CDATA[Dotlumen is illuminating a new technology to help people with visual impairments navigate the world.   In this episode of NVIDIA’s AI Podcast, recorded live at the NVIDIA GTC global AI conference, host Noah Kravitz spoke with the Romanian startup’s founder and CEO, Cornel Amariei, about developing its flagship Dotlumen Glasses.   Dotlumen is a member of the NVIDIA Inception program for cutting-edge startups.   Equipped with sensors and powered by AI, the glasses compute a safely walkable path for visually impaired individuals and offer haptic — or tactile — feedback on how to proceed via corresponding vibrations. Amariei further discusses the process and challenges of developing assistive technology and its potential for enhancing accessibility.   Stay tuned for more episodes recorded live from GTC.]]></description><guid isPermaLink="false">tag:soundcloud,2010:tracks/1791227923</guid><pubDate>Tue, 02 Apr 2024 00:00:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/59276575/1791227923_theaipodcast_gtc24_cornel_amariei_inception.mp3" length="34142248" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>Dotlumen is illuminating a new technology to help people with visual impairments navigate the world.   In this episode of NVIDIA’s AI Podcast, recorded live at the NVIDIA GTC global AI conference, host Noah Kravitz spoke with the Romanian startup’s...</itunes:subtitle><itunes:summary><![CDATA[Dotlumen is illuminating a new technology to help people with visual impairments navigate the world.   In this episode of NVIDIA’s AI Podcast, recorded live at the NVIDIA GTC global AI conference, host Noah Kravitz spoke with the Romanian startup’s founder and CEO, Cornel Amariei, about developing its flagship Dotlumen Glasses.   Dotlumen is a member of the NVIDIA Inception program for cutting-edge startups.   Equipped with sensors and powered by AI, the glasses compute a safely walkable path for visually impaired individuals and offer haptic — or tactile — feedback on how to proceed via corresponding vibrations. Amariei further discusses the process and challenges of developing assistive technology and its potential for enhancing accessibility.   Stay tuned for more episodes recorded live from GTC.]]></itunes:summary><itunes:duration>2134</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/19e408509f65748f9be6f622975ead6e.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Personalized Health: Viome's Guru Banavar Discusses Startup’s AI-Driven Approach - Ep. 216</title><link>https://www.spreaker.com/episode/personalized-health-viome-s-guru-banavar-discusses-startup-s-ai-driven-approach-ep-216--59195281</link><description><![CDATA[Viome CTO Guru Banavar discusses how the startup’s innovations in AI and genomics advance personalized health and wellness.]]></description><guid isPermaLink="false">tag:soundcloud,2010:tracks/1785368577</guid><pubDate>Tue, 26 Mar 2024 00:00:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/59195281/1785368577_theaipodcast_viome_guru_banavar.mp3" length="50351541" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>Viome CTO Guru Banavar discusses how the startup’s innovations in AI and genomics advance personalized health and wellness.</itunes:subtitle><itunes:summary><![CDATA[Viome CTO Guru Banavar discusses how the startup’s innovations in AI and genomics advance personalized health and wellness.]]></itunes:summary><itunes:duration>3147</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/e2b40252b0a008b4f28f94b612993fb2.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>ITIF President Daniel Castro on Energy-Efficient AI and Climate Change</title><link>https://www.spreaker.com/episode/itif-president-daniel-castro-on-energy-efficient-ai-and-climate-change--59035193</link><description><![CDATA[AI-driven change is in the air, as are concerns about the technology’s environmental impact. In this episode of NVIDIA’s AI Podcast, Daniel Castro, vice president of the Information Technology and Innovation Foundation and director of its Center for Data Innovation, speaks with host Noah Kravitz about the motivation behind his AI energy use report, which addresses misconceptions about the technology’s energy consumption. Castro also touches on the need for policies and frameworks that encourage the development of energy-efficient technology. Tune in to discover the crucial role of GPU acceleration in enhancing sustainability and how AI can help address climate change challenges.]]></description><guid isPermaLink="false">tag:soundcloud,2010:tracks/1772793834</guid><pubDate>Wed, 13 Mar 2024 00:00:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/59035193/1772793834_theaipodcast_ai_daniel_castro_itif.mp3" length="31892374" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>AI-driven change is in the air, as are concerns about the technology’s environmental impact. In this episode of NVIDIA’s AI Podcast, Daniel Castro, vice president of the Information Technology and Innovation Foundation and director of its Center for...</itunes:subtitle><itunes:summary><![CDATA[AI-driven change is in the air, as are concerns about the technology’s environmental impact. In this episode of NVIDIA’s AI Podcast, Daniel Castro, vice president of the Information Technology and Innovation Foundation and director of its Center for Data Innovation, speaks with host Noah Kravitz about the motivation behind his AI energy use report, which addresses misconceptions about the technology’s energy consumption. Castro also touches on the need for policies and frameworks that encourage the development of energy-efficient technology. Tune in to discover the crucial role of GPU acceleration in enhancing sustainability and how AI can help address climate change challenges.]]></itunes:summary><itunes:duration>1994</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/8bbd5b2bf49db76647f4bfcbb8d693f1.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Exploring Filmmaking with Cuebric's AI: Insights from Pinar Seyhan Demirdag - Ep. 314</title><link>https://www.spreaker.com/episode/exploring-filmmaking-with-cuebric-s-ai-insights-from-pinar-seyhan-demirdag-ep-314--58864989</link><description><![CDATA[In today’s episode of NVIDIA’s AI Podcast, host Noah Kravitz talks with Pinar Seyhan Demirdag, co-founder and CEO of Cuebric. Cuebric is on a mission to offer new solutions in filmmaking and content creation through immersive, two-and-a-half-dimensional cinematic environments. Their AI-powered application aims to help creators quickly bring their ideas to life, making high-quality production more accessible. Demirdag discusses how Cuebric uses generative AI to enable the creation of engaging environments affordably. Listen in to find out about the current landscape of content creation, the role of AI in simplifying the creative process, and Cuebric's participation in NVIDIA's GTC technology conference.  https://blogs.nvidia.com/blog/pinar-demirdag-cuebric/]]></description><guid isPermaLink="false">tag:soundcloud,2010:tracks/1759544883</guid><pubDate>Wed, 28 Feb 2024 00:00:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/58864989/1759544883_theaipodcast_pinar_demirdag_cuebric.mp3" length="32128103" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>In today’s episode of NVIDIA’s AI Podcast, host Noah Kravitz talks with Pinar Seyhan Demirdag, co-founder and CEO of Cuebric. Cuebric is on a mission to offer new solutions in filmmaking and content creation through immersive,...</itunes:subtitle><itunes:summary><![CDATA[In today’s episode of NVIDIA’s AI Podcast, host Noah Kravitz talks with Pinar Seyhan Demirdag, co-founder and CEO of Cuebric. Cuebric is on a mission to offer new solutions in filmmaking and content creation through immersive, two-and-a-half-dimensional cinematic environments. Their AI-powered application aims to help creators quickly bring their ideas to life, making high-quality production more accessible. Demirdag discusses how Cuebric uses generative AI to enable the creation of engaging environments affordably. Listen in to find out about the current landscape of content creation, the role of AI in simplifying the creative process, and Cuebric's participation in NVIDIA's GTC technology conference.  https://blogs.nvidia.com/blog/pinar-demirdag-cuebric/]]></itunes:summary><itunes:duration>2008</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/9c3102c9a28cb4baf0ddfa7cbd88a839.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>How the Ohio Supercomputer Center Drives the Future of Computing - Ep. 213</title><link>https://www.spreaker.com/episode/how-the-ohio-supercomputer-center-drives-the-future-of-computing-ep-213--58684521</link><description><![CDATA[NASCAR races are all about speed, but even the fastest cars need to factor in safety, especially as rules and tracks change. The Ohio Supercomputer Center is ready to help. In this episode of NVIDIA’s AI Podcast, host Noah Kravitz speaks with Alan Chalker, the director of strategic programs at the OSC, about all things supercomputing. The center’s Open OnDemand program, which takes the form of a web-based interface, empowers Ohio higher education institutions and industries with accessible, reliable and secure computational services and training and educational programs. Chalker dives into the history and evolution of the OSC, and explains how it’s working with client companies like NASCAR, which is simulating race car designs virtually. Tune in to learn more about Chalker’s outlook on the future of supercomputing and OSC’s role in realizing it.]]></description><guid isPermaLink="false">tag:soundcloud,2010:tracks/1746649332</guid><pubDate>Wed, 14 Feb 2024 00:00:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/58684521/1746649332_theaipodcast_ai_alan_chalker.mp3" length="33071855" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>NASCAR races are all about speed, but even the fastest cars need to factor in safety, especially as rules and tracks change. The Ohio Supercomputer Center is ready to help. In this episode of NVIDIA’s AI Podcast, host Noah Kravitz speaks with Alan...</itunes:subtitle><itunes:summary><![CDATA[NASCAR races are all about speed, but even the fastest cars need to factor in safety, especially as rules and tracks change. The Ohio Supercomputer Center is ready to help. In this episode of NVIDIA’s AI Podcast, host Noah Kravitz speaks with Alan Chalker, the director of strategic programs at the OSC, about all things supercomputing. The center’s Open OnDemand program, which takes the form of a web-based interface, empowers Ohio higher education institutions and industries with accessible, reliable and secure computational services and training and educational programs. Chalker dives into the history and evolution of the OSC, and explains how it’s working with client companies like NASCAR, which is simulating race car designs virtually. Tune in to learn more about Chalker’s outlook on the future of supercomputing and OSC’s role in realizing it.]]></itunes:summary><itunes:duration>2067</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/92cfae6b5cd8ba001c581e1739b260e1.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Cardiac Clarity: Dr. Keith Channon Talks Revolutionizing Heart Health With AI - Ep. 212</title><link>https://www.spreaker.com/episode/cardiac-clarity-dr-keith-channon-talks-revolutionizing-heart-health-with-ai-ep-212--58513670</link><description><![CDATA[Here’s some news to still beating hearts: AI is helping bring some clarity to cardiology. Caristo Diagnostics has developed an AI-powered solution for detecting coronary inflammation in cardiac CT scans. In this episode of NVIDIA’s AI Podcast, Dr. Keith Channon, cofounder and chief medical officer at the startup, speaks with host Noah Kravtiz about the technology. Called Caristo, it analyzes radiometric features in CT scan data to identify inflammation in the fat tissue surrounding coronary arteries, a key indicator of heart disease. Tune in to learn more about how Caristo uses AI to improve treatment plans and risk predictions by providing physicians with a patient-specific readout of inflammation levels.]]></description><guid isPermaLink="false">tag:soundcloud,2010:tracks/1731441726</guid><pubDate>Sun, 28 Jan 2024 00:00:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/58513670/1731441726_theaipodcast_cardiac_caristo_dr_keith_channon.mp3" length="32393089" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>Here’s some news to still beating hearts: AI is helping bring some clarity to cardiology. Caristo Diagnostics has developed an AI-powered solution for detecting coronary inflammation in cardiac CT scans. In this episode of NVIDIA’s AI Podcast, Dr....</itunes:subtitle><itunes:summary><![CDATA[Here’s some news to still beating hearts: AI is helping bring some clarity to cardiology. Caristo Diagnostics has developed an AI-powered solution for detecting coronary inflammation in cardiac CT scans. In this episode of NVIDIA’s AI Podcast, Dr. Keith Channon, cofounder and chief medical officer at the startup, speaks with host Noah Kravtiz about the technology. Called Caristo, it analyzes radiometric features in CT scan data to identify inflammation in the fat tissue surrounding coronary arteries, a key indicator of heart disease. Tune in to learn more about how Caristo uses AI to improve treatment plans and risk predictions by providing physicians with a patient-specific readout of inflammation levels.]]></itunes:summary><itunes:duration>2025</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/615870d17cd30cea6bfd05d85ea13d91.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>DigitalPath's Ethan Higgins On Using AI to Fight Wildfires - Ep. 211</title><link>https://www.spreaker.com/episode/digitalpath-s-ethan-higgins-on-using-ai-to-fight-wildfires-ep-211--58329899</link><description><![CDATA[DigitalPath is igniting change in the golden state — using computer vision, generative adversarial networks and a network of thousands of cameras to detect signs of fire in real time.    In the latest episode of NVIDIA’s AI Podcast, host Noah Kravtiz spoke with DigitalPath system architect Ethan Higgins about the company’s role in the ALERTCalifornia initiative, a collaboration between California’s wildfire fighting agency CAL FIRE and the University of California, San Diego.   DigitalPath built computer vision models to process images collected from network cameras — anywhere from eight to 16 million a day — intelligently identifying signs of fire like smoke.  “One of the things we realized early on, though, is that it’s not necessarily a problem about just detecting a fire in a picture,” Higgins said. “It’s a process of making a manageable amount of data to handle.”  That’s because, he explained, it’s unlikely that humans will be entirely out of the loop in the detection process for the foreseeable future.   The company uses various AI algorithms to classify images based on whether they should be reviewed or acted upon — if so, an alert is sent out to a CAL FIRE command centers.   There are some downsides to using computer vision to detect wildfires — namely, that extinguishing more fires means a greater buildup of natural fuel and the potential for larger wildfires in the long term. DigitalPath, along with UCSD, are exploring using high-resolution LIDAR data to identify where those fuels can be let out in the form of prescribed burns.   Looking ahead, Higgins foresees the field tapping generative AI to accelerate new simulation tools — as well as using AI models to analyze the output of other models to doubly improve wildfire prediction and detection.  “AI is not perfect, but when you couple multiple models together, it can get really close,” he said.]]></description><guid isPermaLink="false">tag:soundcloud,2010:tracks/1713097308</guid><pubDate>Tue, 16 Jan 2024 00:00:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/58329899/1713097308_theaipodcast_ai_wildfire.mp3" length="21462621" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>DigitalPath is igniting change in the golden state — using computer vision, generative adversarial networks and a network of thousands of cameras to detect signs of fire in real time.    In the latest episode of NVIDIA’s AI Podcast, host Noah Kravtiz...</itunes:subtitle><itunes:summary><![CDATA[DigitalPath is igniting change in the golden state — using computer vision, generative adversarial networks and a network of thousands of cameras to detect signs of fire in real time.    In the latest episode of NVIDIA’s AI Podcast, host Noah Kravtiz spoke with DigitalPath system architect Ethan Higgins about the company’s role in the ALERTCalifornia initiative, a collaboration between California’s wildfire fighting agency CAL FIRE and the University of California, San Diego.   DigitalPath built computer vision models to process images collected from network cameras — anywhere from eight to 16 million a day — intelligently identifying signs of fire like smoke.  “One of the things we realized early on, though, is that it’s not necessarily a problem about just detecting a fire in a picture,” Higgins said. “It’s a process of making a manageable amount of data to handle.”  That’s because, he explained, it’s unlikely that humans will be entirely out of the loop in the detection process for the foreseeable future.   The company uses various AI algorithms to classify images based on whether they should be reviewed or acted upon — if so, an alert is sent out to a CAL FIRE command centers.   There are some downsides to using computer vision to detect wildfires — namely, that extinguishing more fires means a greater buildup of natural fuel and the potential for larger wildfires in the long term. DigitalPath, along with UCSD, are exploring using high-resolution LIDAR data to identify where those fuels can be let out in the form of prescribed burns.   Looking ahead, Higgins foresees the field tapping generative AI to accelerate new simulation tools — as well as using AI models to analyze the output of other models to doubly improve wildfire prediction and detection.  “AI is not perfect, but when you couple multiple models together, it can get really close,” he said.]]></itunes:summary><itunes:duration>1342</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/2c055a4f93fc0dacab0dc2fee9a8c5c9.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>The Case for Generative AI in the Legal Field - Ep. 210</title><link>https://www.spreaker.com/episode/the-case-for-generative-ai-in-the-legal-field-ep-210--58071470</link><description><![CDATA[Thomson Reuters, the global content and technology company, is transforming the legal industry with generative AI.  In the latest episode of NVIDIA’s AI Podcast, host Noah Kravitz spoke with Thomson Reuters’ Chief Product Officer David Wong about its potential — and implications.  Many of Thomson Reuters offerings for the legal industry either address an information retrieval problem or help generate written content.  It has a AI-driven digital solution that enables law practitioners to search laws and cases intelligently within different jurisdictions. It also provides AI-powered tools that are set to be integrated with commonly used products like Microsoft 365 to automate the time-consuming processes of drafting and analyzing legal documents.   These technologies increase the productivity of legal professionals, enabling them to focus their time on higher value work. According to Wong, ultimately these tools also have the potential to help deliver better access to justice.   To address ethical concerns, the company has created publicly available AI development guidelines, as well as privacy and data protection policies. And it’s participating in the drafting of ethical guidelines for the industries it serves.   There’s still a wide range of reactions surrounding AI use in the legal field, from optimism about its potential to fears of job replacement. But Wong underscored that no matter what the outlook, “it is very likely that professionals that use AI are going to replace professionals that don’t use AI.”   Looking ahead, Thomson Reuters aims to further integrate generative AI, as well as retrieval-augmented generation techniques into its flagship research products to help lawyers synthesize, read and respond to complicated technical and legal questions. Recently, Thomson Reuters acquired Casetext, which developed the first AI legal assistant, CoCounsel. In 2024 Thomson Reuters is building on this with the launch of an AI assistant that will be the interface across Thomson Reuters products with GenAI capabilities, including those in other fields such as tax and accounting.]]></description><guid isPermaLink="false">tag:soundcloud,2010:tracks/1694640141</guid><pubDate>Wed, 20 Dec 2023 00:00:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/58071470/1694640141_theaipodcast_legal.mp3" length="28532400" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>Thomson Reuters, the global content and technology company, is transforming the legal industry with generative AI.  In the latest episode of NVIDIA’s AI Podcast, host Noah Kravitz spoke with Thomson Reuters’ Chief Product Officer David Wong about its...</itunes:subtitle><itunes:summary><![CDATA[Thomson Reuters, the global content and technology company, is transforming the legal industry with generative AI.  In the latest episode of NVIDIA’s AI Podcast, host Noah Kravitz spoke with Thomson Reuters’ Chief Product Officer David Wong about its potential — and implications.  Many of Thomson Reuters offerings for the legal industry either address an information retrieval problem or help generate written content.  It has a AI-driven digital solution that enables law practitioners to search laws and cases intelligently within different jurisdictions. It also provides AI-powered tools that are set to be integrated with commonly used products like Microsoft 365 to automate the time-consuming processes of drafting and analyzing legal documents.   These technologies increase the productivity of legal professionals, enabling them to focus their time on higher value work. According to Wong, ultimately these tools also have the potential to help deliver better access to justice.   To address ethical concerns, the company has created publicly available AI development guidelines, as well as privacy and data protection policies. And it’s participating in the drafting of ethical guidelines for the industries it serves.   There’s still a wide range of reactions surrounding AI use in the legal field, from optimism about its potential to fears of job replacement. But Wong underscored that no matter what the outlook, “it is very likely that professionals that use AI are going to replace professionals that don’t use AI.”   Looking ahead, Thomson Reuters aims to further integrate generative AI, as well as retrieval-augmented generation techniques into its flagship research products to help lawyers synthesize, read and respond to complicated technical and legal questions. Recently, Thomson Reuters acquired Casetext, which developed the first AI legal assistant, CoCounsel. In 2024 Thomson Reuters is building on this with the launch of an AI assistant that will be the interface across Thomson Reuters products with GenAI capabilities, including those in other fields such as tax and accounting.]]></itunes:summary><itunes:duration>1784</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/3da1cfecba63bf5b43f3cd4cc1684eb5.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Wayve CEO Alex Kendall on Making a Splash in Autonomous Vehicles - Ep. 209</title><link>https://www.spreaker.com/episode/wayve-ceo-alex-kendall-on-making-a-splash-in-autonomous-vehicles-ep-209--57928977</link><description><![CDATA[A new era of autonomous vehicle technology, known as AV 2.0, has emerged, marked by large, unified AI models that can control multiple parts of the vehicle stack, from perception and planning to control.   Wayve, a London-based autonomous driving technology company, is leading the surf.  In the latest episode of NVIDIA’s AI Podcast, host Katie Burke Washabaugh spoke with the company’s cofounder and CEO, Alex Kendall, about what AV 2.0 means for the future of self-driving cars.   Unlike AV 1.0’s focus on perfecting a vehicle’s perception capabilities using multiple deep neural networks, AV 2.0 calls for comprehensive in-vehicle intelligence to drive decision-making in real-world, dynamic environments.   Embodied AI — the concept of giving AI a physical interface to interact with the world — is the basis of this new AV wave.   Kendall pointed out that it’s a “hardware/software problem — you need to consider these things separately,” even as they work together. For example, a vehicle can have the highest-quality sensors, but without the right software, the system can’t use them to execute the right decisions.   Generative AI plays a key role, enabling synthetic data generation so AV makers can use a model’s previous experiences to create and simulate novel driving scenarios.   It can “take crowds of pedestrians and snow and bring them together” to “create a snowy, crowded pedestrian scene” that the vehicle has never experienced before.   According to Kendall, that will “play a huge role in both learning and validating the level of performance that we need to deploy these vehicles safely” — all while saving time and costs.  In June, Wayve unveiled GAIA-1, a generative world model for developing autonomous vehicles.   The company also recently announced LINGO-1, an AI model that allows passengers to use natural language to enhance the learning and explainability of AI driving models.   Looking ahead, the company hopes to scale and further develop its solutions, improving the safety of AVs to deliver value, build public trust and meet customer expectations.   Kendall views embodied AI as playing a definitive role in the future of the AI landscape, pushing pioneers to “build better” and “build further” to achieve the “next big breakthroughs.”]]></description><guid isPermaLink="false">tag:soundcloud,2010:tracks/1683154701</guid><pubDate>Tue, 05 Dec 2023 00:00:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/57928977/1683154701_theaipodcast_ai_wayve.mp3" length="30489285" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>A new era of autonomous vehicle technology, known as AV 2.0, has emerged, marked by large, unified AI models that can control multiple parts of the vehicle stack, from perception and planning to control.   Wayve, a London-based autonomous driving...</itunes:subtitle><itunes:summary><![CDATA[A new era of autonomous vehicle technology, known as AV 2.0, has emerged, marked by large, unified AI models that can control multiple parts of the vehicle stack, from perception and planning to control.   Wayve, a London-based autonomous driving technology company, is leading the surf.  In the latest episode of NVIDIA’s AI Podcast, host Katie Burke Washabaugh spoke with the company’s cofounder and CEO, Alex Kendall, about what AV 2.0 means for the future of self-driving cars.   Unlike AV 1.0’s focus on perfecting a vehicle’s perception capabilities using multiple deep neural networks, AV 2.0 calls for comprehensive in-vehicle intelligence to drive decision-making in real-world, dynamic environments.   Embodied AI — the concept of giving AI a physical interface to interact with the world — is the basis of this new AV wave.   Kendall pointed out that it’s a “hardware/software problem — you need to consider these things separately,” even as they work together. For example, a vehicle can have the highest-quality sensors, but without the right software, the system can’t use them to execute the right decisions.   Generative AI plays a key role, enabling synthetic data generation so AV makers can use a model’s previous experiences to create and simulate novel driving scenarios.   It can “take crowds of pedestrians and snow and bring them together” to “create a snowy, crowded pedestrian scene” that the vehicle has never experienced before.   According to Kendall, that will “play a huge role in both learning and validating the level of performance that we need to deploy these vehicles safely” — all while saving time and costs.  In June, Wayve unveiled GAIA-1, a generative world model for developing autonomous vehicles.   The company also recently announced LINGO-1, an AI model that allows passengers to use natural language to enhance the learning and explainability of AI driving models.   Looking ahead, the company hopes to scale and further develop its solutions, improving the safety of AVs to deliver value, build public trust and meet customer expectations.   Kendall views embodied AI as playing a definitive role in the future of the AI landscape, pushing pioneers to “build better” and “build further” to achieve the “next big breakthroughs.”]]></itunes:summary><itunes:duration>1906</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/42a5488734327c1053de18b1150ab7c9.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Afresh CEO Nathan Fenner On How AI Can Help Grocers Manage Supply Chains</title><link>https://www.spreaker.com/episode/afresh-ceo-nathan-fenner-on-how-ai-can-help-grocers-manage-supply-chains--57756523</link><description><![CDATA[Talk about going after low-hanging fruit. Afresh is an AI startup that helps grocery stores and retailers reduce food waste by making supply chains more efficient.   In the latest episode of NVIDIA’s AI Podcast, host Noah Kravitz spoke with the company’s cofounder and president, Nathan Fenner, about its mission, offerings and the greater challenge of eliminating food waste.   Most supply chain and inventory management offerings targeting grocers and retailers are outdated. Fenner and his team noticed those solutions, built for the nonperishable side of the business, didn’t work as well on the fresh side — creating enormous amounts of food waste and causing billions in lost profits.   The team first sought to solve the store-replenishment challenge by developing a platform to help grocers decide how much fresh produce to order to optimize costs while meeting demand.   They created machine learning and AI models that could effectively use the data generated by fresh produce, which is messier than data generated by nonperishable goods because of factors like time to decay, greater demand fluctuation and unreliability caused by lack of barcodes, leading to incorrect scans at self-checkout registers.   The result was a fully integrated, machine learning-based platform that helps grocers make informed decisions at each node of the operations process.   The company also recently launched inventory management software that allows grocers to save time and increase data accuracy by intelligently tracking inventory. That information can be inputted back into the platform’s ordering solution, further refining the accuracy of inventory data.   It’s all part of Afresh’s greater mission to tackle climate change.  “The most impactful thing we can do is reduce food waste to mitigate climate change,” Fenner said. “It’s really one of the key things that brought me into the business: I think I’ve always had a keen eye to work in the climate space. It’s really motivating for a lot of our team, and it’s a key part of our mission.”]]></description><guid isPermaLink="false">tag:soundcloud,2010:tracks/1671268662</guid><pubDate>Tue, 21 Nov 2023 00:00:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/57756523/1671268662_theaipodcast_nathan_fenner_afresh.mp3" length="31695933" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>Talk about going after low-hanging fruit. Afresh is an AI startup that helps grocery stores and retailers reduce food waste by making supply chains more efficient.   In the latest episode of NVIDIA’s AI Podcast, host Noah Kravitz spoke with the...</itunes:subtitle><itunes:summary><![CDATA[Talk about going after low-hanging fruit. Afresh is an AI startup that helps grocery stores and retailers reduce food waste by making supply chains more efficient.   In the latest episode of NVIDIA’s AI Podcast, host Noah Kravitz spoke with the company’s cofounder and president, Nathan Fenner, about its mission, offerings and the greater challenge of eliminating food waste.   Most supply chain and inventory management offerings targeting grocers and retailers are outdated. Fenner and his team noticed those solutions, built for the nonperishable side of the business, didn’t work as well on the fresh side — creating enormous amounts of food waste and causing billions in lost profits.   The team first sought to solve the store-replenishment challenge by developing a platform to help grocers decide how much fresh produce to order to optimize costs while meeting demand.   They created machine learning and AI models that could effectively use the data generated by fresh produce, which is messier than data generated by nonperishable goods because of factors like time to decay, greater demand fluctuation and unreliability caused by lack of barcodes, leading to incorrect scans at self-checkout registers.   The result was a fully integrated, machine learning-based platform that helps grocers make informed decisions at each node of the operations process.   The company also recently launched inventory management software that allows grocers to save time and increase data accuracy by intelligently tracking inventory. That information can be inputted back into the platform’s ordering solution, further refining the accuracy of inventory data.   It’s all part of Afresh’s greater mission to tackle climate change.  “The most impactful thing we can do is reduce food waste to mitigate climate change,” Fenner said. “It’s really one of the key things that brought me into the business: I think I’ve always had a keen eye to work in the climate space. It’s really motivating for a lot of our team, and it’s a key part of our mission.”]]></itunes:summary><itunes:duration>1981</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/dd04138f33f7e5b3a10ebc49ae76593e.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Harrison.ai CEO Aengus Tran on Using AI as a Spell Check for Health Checks - Ep. 207</title><link>https://www.spreaker.com/episode/harrison-ai-ceo-aengus-tran-on-using-ai-as-a-spell-check-for-health-checks-ep-207--57560376</link><description><![CDATA[Clinician-led healthcare AI company Harrison.ai has built an AI system that serves as “spell checker” for radiologists — flagging critical findings to improve the speed and accuracy of radiology image analysis, reducing misdiagnoses.  In the latest episode of NVIDIA’s AI Podcast, host Noah Kravitz spoke with Harrison.ai CEO and cofounder Aengus Tran about the company’s mission to scale global healthcare capacity with autonomous AI systems.   Harrison.ai’s initial product, annalise.ai, is an AI tool that automates radiology image analysis to enable faster, more accurate diagnoses. It can produce 124-130 different possible diagnoses and flag key findings to aid radiologists in their final diagnosis. Currently, annalise.ai works for chest X-rays and brain CT scans.   While an AI designed for categorizing traffic lights, for example, doesn’t need perfection,  medical tools must be highly accurate — any oversight could be fatal. To overcome this challenge, annalise.ai was trained on millions of meticulously annotated images — some were annotated three to five times over before being used for training.  Harrison.ai is also developing Franklin.ai, a sibling AI tool aimed to accelerate and improve the accuracy of histopathology diagnosis — in which a clinician performs a biopsy and inspects the tissue for the presence of cancerous cells. Similarly to annalise.ai, Franklin.ai flags critical findings to assist pathologists in speeding and increasing the accuracy of diagnoses.  Ethical concerns about AI use are ever-rising, but for Tran, the concern is less about whether it’s ethical to use AI for medical diagnosis but “actually the converse: Is it ethical to not use AI for medical diagnosis,” especially if “humans using those AI systems simply pick up more misdiagnosis, pick up more cancer and conditions?”   Tran also talked about the future of AI systems and suggested that the focus is dual: first, focus on improving preexisting systems and then think of new cutting-edge solutions.   And for those looking to break into careers in AI and healthcare, Tran says that the “first step is to decide upfront what problems you’re willing to spend a huge part of your time solving first, before the AI part,” emphasizing that the “first thing is actually to fall in love with some problem.”]]></description><guid isPermaLink="false">tag:soundcloud,2010:tracks/1658401437</guid><pubDate>Wed, 08 Nov 2023 00:00:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/57560376/1658401437_theaipodcast_harrisonai_ceo_aengus_tran.mp3" length="30028276" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>Clinician-led healthcare AI company Harrison.ai has built an AI system that serves as “spell checker” for radiologists — flagging critical findings to improve the speed and accuracy of radiology image analysis, reducing misdiagnoses.  In the latest...</itunes:subtitle><itunes:summary><![CDATA[Clinician-led healthcare AI company Harrison.ai has built an AI system that serves as “spell checker” for radiologists — flagging critical findings to improve the speed and accuracy of radiology image analysis, reducing misdiagnoses.  In the latest episode of NVIDIA’s AI Podcast, host Noah Kravitz spoke with Harrison.ai CEO and cofounder Aengus Tran about the company’s mission to scale global healthcare capacity with autonomous AI systems.   Harrison.ai’s initial product, annalise.ai, is an AI tool that automates radiology image analysis to enable faster, more accurate diagnoses. It can produce 124-130 different possible diagnoses and flag key findings to aid radiologists in their final diagnosis. Currently, annalise.ai works for chest X-rays and brain CT scans.   While an AI designed for categorizing traffic lights, for example, doesn’t need perfection,  medical tools must be highly accurate — any oversight could be fatal. To overcome this challenge, annalise.ai was trained on millions of meticulously annotated images — some were annotated three to five times over before being used for training.  Harrison.ai is also developing Franklin.ai, a sibling AI tool aimed to accelerate and improve the accuracy of histopathology diagnosis — in which a clinician performs a biopsy and inspects the tissue for the presence of cancerous cells. Similarly to annalise.ai, Franklin.ai flags critical findings to assist pathologists in speeding and increasing the accuracy of diagnoses.  Ethical concerns about AI use are ever-rising, but for Tran, the concern is less about whether it’s ethical to use AI for medical diagnosis but “actually the converse: Is it ethical to not use AI for medical diagnosis,” especially if “humans using those AI systems simply pick up more misdiagnosis, pick up more cancer and conditions?”   Tran also talked about the future of AI systems and suggested that the focus is dual: first, focus on improving preexisting systems and then think of new cutting-edge solutions.   And for those looking to break into careers in AI and healthcare, Tran says that the “first step is to decide upfront what problems you’re willing to spend a huge part of your time solving first, before the AI part,” emphasizing that the “first thing is actually to fall in love with some problem.”]]></itunes:summary><itunes:duration>1877</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/b43206c3200ae62d66a57254c4625212.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>NVIDIA’s Annamalai Chockalingam on the Rise of LLMs - Ep. 206</title><link>https://www.spreaker.com/episode/nvidia-s-annamalai-chockalingam-on-the-rise-of-llms-ep-206--57469920</link><description><![CDATA[Generative AI and large language models (LLMs) are stirring change across industries — but according to NVIDIA Senior Product Manager of Developer Marketing Annamalai Chockalingam, “we’re still in the early innings.”   In the latest episode of NVIDIA’s AI Podcast, host Noah Kravitz spoke with Chockalingam about LLMs: what they are, their current state and their future potential.  LLMs are a “subset of the larger generative AI movement” that deals with language. They’re deep learning algorithms that can recognize, summarize, translate, predict and generate language.   AI has been around for a while, but according to Chockalingam, three key factors enabled LLMs.   One is the availability of large-scale data sets to train models with. As more people used the internet, more data became available for use. The second is the development of computer infrastructure, which has become advanced enough to handle “mountains of data” in a “reasonable timeframe.” And the third is advancements in AI algorithms, allowing for non-sequential or parallel processing of large data pools.   LLMs can do five things with language: generate, summarize, translate, instruct or chat. With a combination of “these modalities and actions, you can build applications” to solve any problem, Chockalingam said.   Enterprises are tapping LLMs to “drive innovation,” “develop new customer experiences,” and gain a “competitive advantage.” They’re also exploring what safe deployment of those models looks like, aiming to achieve responsible development, trustworthiness and repeatability.  New techniques like retrieval augmented generation (RAG) could boost LLM development. RAG involves feeding models with up-to-date “data sources or third-party APIs” to achieve “more appropriate responses” — granting them current context so that they can “generate better” answers.  Chockalingam encourages those interested in LLMs to “get your hands dirty and get started” — whether that means using popular applications like ChatGPT or playing with pretrained models in the NVIDIA NGC catalog.  NVIDIA offers a full-stack computing platform for developers and enterprises experimenting with LLMs, with an ecosystem of over 4 million developers and 1,600 generative AI organizations. To learn more, register for LLM Developer Day on Nov. 17 to hear from NVIDIA experts about how best to develop applications.]]></description><guid isPermaLink="false">tag:soundcloud,2010:tracks/1651053912</guid><pubDate>Wed, 01 Nov 2023 00:00:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/57469920/1651053912_theaipodcast_ai_llm.mp3" length="37003179" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>Generative AI and large language models (LLMs) are stirring change across industries — but according to NVIDIA Senior Product Manager of Developer Marketing Annamalai Chockalingam, “we’re still in the early innings.”   In the latest episode of...</itunes:subtitle><itunes:summary><![CDATA[Generative AI and large language models (LLMs) are stirring change across industries — but according to NVIDIA Senior Product Manager of Developer Marketing Annamalai Chockalingam, “we’re still in the early innings.”   In the latest episode of NVIDIA’s AI Podcast, host Noah Kravitz spoke with Chockalingam about LLMs: what they are, their current state and their future potential.  LLMs are a “subset of the larger generative AI movement” that deals with language. They’re deep learning algorithms that can recognize, summarize, translate, predict and generate language.   AI has been around for a while, but according to Chockalingam, three key factors enabled LLMs.   One is the availability of large-scale data sets to train models with. As more people used the internet, more data became available for use. The second is the development of computer infrastructure, which has become advanced enough to handle “mountains of data” in a “reasonable timeframe.” And the third is advancements in AI algorithms, allowing for non-sequential or parallel processing of large data pools.   LLMs can do five things with language: generate, summarize, translate, instruct or chat. With a combination of “these modalities and actions, you can build applications” to solve any problem, Chockalingam said.   Enterprises are tapping LLMs to “drive innovation,” “develop new customer experiences,” and gain a “competitive advantage.” They’re also exploring what safe deployment of those models looks like, aiming to achieve responsible development, trustworthiness and repeatability.  New techniques like retrieval augmented generation (RAG) could boost LLM development. RAG involves feeding models with up-to-date “data sources or third-party APIs” to achieve “more appropriate responses” — granting them current context so that they can “generate better” answers.  Chockalingam encourages those interested in LLMs to “get your hands dirty and get started” — whether that means using popular applications like ChatGPT or playing with pretrained models in the NVIDIA NGC catalog.  NVIDIA offers a full-stack computing platform for developers and enterprises experimenting with LLMs, with an ecosystem of over 4 million developers and 1,600 generative AI organizations. To learn more, register for LLM Developer Day on Nov. 17 to hear from NVIDIA experts about how best to develop applications.]]></itunes:summary><itunes:duration>2313</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/cc642ff55bba7d47bb608174535f4812.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Making Machines Mindful: NYU Professor Talks Responsible AI - Ep. 205</title><link>https://www.spreaker.com/episode/making-machines-mindful-nyu-professor-talks-responsible-ai-ep-205--57292493</link><description><![CDATA[Artificial intelligence is now a household term. Responsible AI is hot on its heels.  Julia Stoyanovich, associate professor of computer science and engineering at NYU and director of the university’s Center for Responsible AI, wants to make the terms “AI” and “responsible AI” synonymous.   In the latest episode of the NVIDIA AI Podcast, host Noah Kravitz ‌spoke with Stoyanovich about responsible AI, her advocacy efforts and how people can help.]]></description><guid isPermaLink="false">tag:soundcloud,2010:tracks/1643145072</guid><pubDate>Wed, 18 Oct 2023 00:00:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/57292493/1643145072_theaipodcast_making_machines_mindful.mp3" length="34402219" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>Artificial intelligence is now a household term. Responsible AI is hot on its heels.  Julia Stoyanovich, associate professor of computer science and engineering at NYU and director of the university’s Center for Responsible AI, wants to make the terms...</itunes:subtitle><itunes:summary><![CDATA[Artificial intelligence is now a household term. Responsible AI is hot on its heels.  Julia Stoyanovich, associate professor of computer science and engineering at NYU and director of the university’s Center for Responsible AI, wants to make the terms “AI” and “responsible AI” synonymous.   In the latest episode of the NVIDIA AI Podcast, host Noah Kravitz ‌spoke with Stoyanovich about responsible AI, her advocacy efforts and how people can help.]]></itunes:summary><itunes:duration>2151</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/3b62ed2fed6b30e380bd58a27ec16003.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>NVIDIA’s Jim Fan delves into large language models and their industry impact - Ep. 204</title><link>https://www.spreaker.com/episode/nvidia-s-jim-fan-delves-into-large-language-models-and-their-industry-impact-ep-204--57065287</link><description><![CDATA[For NVIDIA Senior AI Scientist Jim Fan, the video game Minecraft served as the “perfect primordial soup” for his research on open-ended AI agents.  In the latest AI Podcast episode, host Noah Kravitz spoke with Fan on using large language models to create AI agents — specifically to create Voyager, an AI bot built with Chat GPT-4 that can autonomously play Minecraft.  AI agents are models that “can proactively take actions and then perceive the world, see the consequences of its actions, and then improve itself,” Fan said. Many current AI agents are programmed to achieve specific objectives, such as beating a game as quickly as possible or answering a question. They can work autonomously toward a particular output but lack a broader decision-making agency.  Fan wondered if it was possible to have a “truly open-ended agent that can be prompted by arbitrary natural language to do open-ended, even creative things.”   But he needed a flexible playground in which to test that possibility.    “And that’s why we found Minecraft to be almost a perfect primordial soup for open-ended agents to emerge, because it sets up the environment so well,” he said. Minecraft at its core, after all, doesn’t set a specific key objective for players other than to survive and freely explore the open world.  That became the springboard for Fan’s project, MineDojo, which eventually led to the creation of the AI bot Voyager.   “Voyager leverages the power of Chat GPT-4 to write code in Javascript to execute in the game,” Fan explained. “GPT-4 then looks at the output, and if there’s an error from JavaScript or some feedback from the environment, GPT-4 does a self-reflection and tries to debug the code.”  The bot learns from its mistakes and stores the correctly implemented programs in a skill library for future use, allowing for “lifelong learning.”   In-game, Voyager can autonomously explore for hours, adapting its decisions based on its environment and developing skills to combat monsters and find food when needed.   “We see all these behaviors come from the Voyager setup, the skill library and also the coding mechanism,” Fan explained. “We did not preprogram any of these behaviors.”   He then spoke more generally about the rise and trajectory of LLMs. He foresees strong applications in software, gaming and robotics and increasingly pressing conversations surrounding AI safety.   Fan encourages those looking to get involved and work with LLMs to “just do something,” whether that means using online resources or experimenting with beginner-friendly, CPU-based AI models.]]></description><guid isPermaLink="false">tag:soundcloud,2010:tracks/1627125918</guid><pubDate>Wed, 04 Oct 2023 00:00:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/57065287/1627125918_theaipodcast_ai_jim_fan.mp3" length="36133868" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>For NVIDIA Senior AI Scientist Jim Fan, the video game Minecraft served as the “perfect primordial soup” for his research on open-ended AI agents.  In the latest AI Podcast episode, host Noah Kravitz spoke with Fan on using large language models to...</itunes:subtitle><itunes:summary><![CDATA[For NVIDIA Senior AI Scientist Jim Fan, the video game Minecraft served as the “perfect primordial soup” for his research on open-ended AI agents.  In the latest AI Podcast episode, host Noah Kravitz spoke with Fan on using large language models to create AI agents — specifically to create Voyager, an AI bot built with Chat GPT-4 that can autonomously play Minecraft.  AI agents are models that “can proactively take actions and then perceive the world, see the consequences of its actions, and then improve itself,” Fan said. Many current AI agents are programmed to achieve specific objectives, such as beating a game as quickly as possible or answering a question. They can work autonomously toward a particular output but lack a broader decision-making agency.  Fan wondered if it was possible to have a “truly open-ended agent that can be prompted by arbitrary natural language to do open-ended, even creative things.”   But he needed a flexible playground in which to test that possibility.    “And that’s why we found Minecraft to be almost a perfect primordial soup for open-ended agents to emerge, because it sets up the environment so well,” he said. Minecraft at its core, after all, doesn’t set a specific key objective for players other than to survive and freely explore the open world.  That became the springboard for Fan’s project, MineDojo, which eventually led to the creation of the AI bot Voyager.   “Voyager leverages the power of Chat GPT-4 to write code in Javascript to execute in the game,” Fan explained. “GPT-4 then looks at the output, and if there’s an error from JavaScript or some feedback from the environment, GPT-4 does a self-reflection and tries to debug the code.”  The bot learns from its mistakes and stores the correctly implemented programs in a skill library for future use, allowing for “lifelong learning.”   In-game, Voyager can autonomously explore for hours, adapting its decisions based on its environment and developing skills to combat monsters and find food when needed.   “We see all these behaviors come from the Voyager setup, the skill library and also the coding mechanism,” Fan explained. “We did not preprogram any of these behaviors.”   He then spoke more generally about the rise and trajectory of LLMs. He foresees strong applications in software, gaming and robotics and increasingly pressing conversations surrounding AI safety.   Fan encourages those looking to get involved and work with LLMs to “just do something,” whether that means using online resources or experimenting with beginner-friendly, CPU-based AI models.]]></itunes:summary><itunes:duration>2259</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/21c848f6634b45a075d1f012ef191dda.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Anima Anandkumar on Using Generative AI to Tackle Global Challenges - Ep. 203</title><link>https://www.spreaker.com/episode/anima-anandkumar-on-using-generative-ai-to-tackle-global-challenges-ep-203--56787630</link><description><![CDATA[Generative AI-based models can not only learn and understand natural languages — they can learn the very language of nature itself, presenting new possibilities for scientific research.  Anima Anandkumar, Bren Professor at Caltech and senior director of AI research at NVIDIA, was recently invited to speak at the President’s Council of Advisors on Science and Technology.   At the talk, Anandkumar says that generative AI was described as “an inflection point in our lives,” with discussions swirling around how to “harness it to benefit society and humanity through scientific applications.”   On the latest episode of NVIDIA’s AI Podcast, host Noah Kravitz spoke with Anandkumar on generative AI’s potential to make splashes in the scientific community.   It can, for example, be fed DNA, RNA, viral and bacterial data to craft a model that understands the language of genomes. That model can help predict dangerous coronavirus variants to accelerate drug and vaccine research.   Generative AI can also predict extreme weather events like hurricanes or heat waves. Even with an AI boost, trying to predict natural events is challenging because of the sheer number of variables and unknowns.   However, Anandkumar explains that it’s not just a matter of upsizing language models or adding compute power — it’s also about fine-tuning and setting the right parameters.  “Those are the aspects we’re working on at NVIDIA and Caltech, in collaboration with many other organizations, to say, ‘How do we capture the multitude of scales present in the natural world?’” she said. “With the limited data we have, can we hope to extrapolate to finer scales? Can we hope to embed the right constraints and come up with physically valid predictions that make a big impact?”   Anandkumar adds that to ensure AI models are responsibly and safely used, existing laws must be strengthened to prevent dangerous downstream applications.  She also talks about the AI boom, which is transforming the role of humans across industries, and problems yet to be solved.   “This is the research advice I give to everyone: the most important thing is the question, not the answer,” she said.]]></description><guid isPermaLink="false">tag:soundcloud,2010:tracks/1613940966</guid><pubDate>Mon, 11 Sep 2023 00:00:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/56787630/1613940966_theaipodcast_anima_anandkumar.mp3" length="38537925" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>Generative AI-based models can not only learn and understand natural languages — they can learn the very language of nature itself, presenting new possibilities for scientific research.  Anima Anandkumar, Bren Professor at Caltech and senior director...</itunes:subtitle><itunes:summary><![CDATA[Generative AI-based models can not only learn and understand natural languages — they can learn the very language of nature itself, presenting new possibilities for scientific research.  Anima Anandkumar, Bren Professor at Caltech and senior director of AI research at NVIDIA, was recently invited to speak at the President’s Council of Advisors on Science and Technology.   At the talk, Anandkumar says that generative AI was described as “an inflection point in our lives,” with discussions swirling around how to “harness it to benefit society and humanity through scientific applications.”   On the latest episode of NVIDIA’s AI Podcast, host Noah Kravitz spoke with Anandkumar on generative AI’s potential to make splashes in the scientific community.   It can, for example, be fed DNA, RNA, viral and bacterial data to craft a model that understands the language of genomes. That model can help predict dangerous coronavirus variants to accelerate drug and vaccine research.   Generative AI can also predict extreme weather events like hurricanes or heat waves. Even with an AI boost, trying to predict natural events is challenging because of the sheer number of variables and unknowns.   However, Anandkumar explains that it’s not just a matter of upsizing language models or adding compute power — it’s also about fine-tuning and setting the right parameters.  “Those are the aspects we’re working on at NVIDIA and Caltech, in collaboration with many other organizations, to say, ‘How do we capture the multitude of scales present in the natural world?’” she said. “With the limited data we have, can we hope to extrapolate to finer scales? Can we hope to embed the right constraints and come up with physically valid predictions that make a big impact?”   Anandkumar adds that to ensure AI models are responsibly and safely used, existing laws must be strengthened to prevent dangerous downstream applications.  She also talks about the AI boom, which is transforming the role of humans across industries, and problems yet to be solved.   “This is the research advice I give to everyone: the most important thing is the question, not the answer,” she said.]]></itunes:summary><itunes:duration>2409</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/bb29696a3494d1158cd85182a1de90bd.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Deepdub’s Ofir Krakowski on Redefining Dubbing from Hollywood to Bollywood - Ep. 202</title><link>https://www.spreaker.com/episode/deepdub-s-ofir-krakowski-on-redefining-dubbing-from-hollywood-to-bollywood-ep-202--56636518</link><description><![CDATA[In the global entertainment landscape, TV show and film production stretches far beyond Hollywood or Bollywood — it's a worldwide phenomenon.   However, while streaming platforms have broadened the reach of content, dubbing and translation technology still has plenty of room for growth.  Deepdub acts as a digital bridge, providing access to content by using generative AI to break down language and cultural barriers.  On the latest episode of NVIDIA’s AI Podcast, host Noah Kravitz spoke with the Israel-based startup’s co-founder and CEO, Ofir Krakowski. Deepdub uses AI-driven dubbing to help entertainment companies boost efficiency and cut costs while increasing accessibility.   The company is a member of NVIDIA Inception, a free program that offers startups go-to-market support, expertise and technological assistance.   Traditional dubbing is slow, costly and often missing the mark, Krakowski says. Current technology struggles with the subtleties of language, leaving jokes, idioms or jargon lost in translation.   Deepdub offers a web-based platform that enables people to interact with sophisticated AI models to handle each part of the translation and dubbing process efficiently. It translates the text, generates a voice and mixes it into the original music and audio effects.   But as Krakowkski points out, even the best AI models make mistakes, so the platform involves a human touchpoint to verify translations and ensure that generated voices sound natural and capture the right emotion.   Deepdub is also working on matching lip movements to dubbed voices.   Ultimately, Krakowski hopes to free the world from the restrictions placed by language barriers.   “I believe that the technology will enable people to enjoy the content that is created around the world,” he said. “It will globalize storytelling and knowledge, which are currently bound by language barriers.”  https://blogs.nvidia.com/blog/2023/08/30/deepdub/]]></description><guid isPermaLink="false">tag:soundcloud,2010:tracks/1601292126</guid><pubDate>Sun, 27 Aug 2023 00:00:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/56636518/1601292126_theaipodcast_ai_deepdub.mp3" length="31321860" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>In the global entertainment landscape, TV show and film production stretches far beyond Hollywood or Bollywood — it's a worldwide phenomenon.   However, while streaming platforms have broadened the reach of content, dubbing and translation technology...</itunes:subtitle><itunes:summary><![CDATA[In the global entertainment landscape, TV show and film production stretches far beyond Hollywood or Bollywood — it's a worldwide phenomenon.   However, while streaming platforms have broadened the reach of content, dubbing and translation technology still has plenty of room for growth.  Deepdub acts as a digital bridge, providing access to content by using generative AI to break down language and cultural barriers.  On the latest episode of NVIDIA’s AI Podcast, host Noah Kravitz spoke with the Israel-based startup’s co-founder and CEO, Ofir Krakowski. Deepdub uses AI-driven dubbing to help entertainment companies boost efficiency and cut costs while increasing accessibility.   The company is a member of NVIDIA Inception, a free program that offers startups go-to-market support, expertise and technological assistance.   Traditional dubbing is slow, costly and often missing the mark, Krakowski says. Current technology struggles with the subtleties of language, leaving jokes, idioms or jargon lost in translation.   Deepdub offers a web-based platform that enables people to interact with sophisticated AI models to handle each part of the translation and dubbing process efficiently. It translates the text, generates a voice and mixes it into the original music and audio effects.   But as Krakowkski points out, even the best AI models make mistakes, so the platform involves a human touchpoint to verify translations and ensure that generated voices sound natural and capture the right emotion.   Deepdub is also working on matching lip movements to dubbed voices.   Ultimately, Krakowski hopes to free the world from the restrictions placed by language barriers.   “I believe that the technology will enable people to enjoy the content that is created around the world,” he said. “It will globalize storytelling and knowledge, which are currently bound by language barriers.”  https://blogs.nvidia.com/blog/2023/08/30/deepdub/]]></itunes:summary><itunes:duration>1958</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/afeda25a812fa854b6454ebcd3b0546e.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Replit CEO Amjad Masad on Empowering the Next Billion Software Creators</title><link>https://www.spreaker.com/episode/replit-ceo-amjad-masad-on-empowering-the-next-billion-software-creators--56487010</link><description><![CDATA[Replit aims to empower the next billion software creators.   In this week’s episode of NVIDIA’s AI Podcast, host Noah Kraviz dives into a conversation with Replit CEO Amjad Masad. Masad says the San Francisco-based maker of a software development platform, which came up as a member of NVIDIA’s startup accelerator program, wants to bridge the gap between ideas and software, a task simplified by advances in generative AI.   “Replit is fundamentally about reducing the friction between an idea and a software product,” Masad said.   The company’s Ghostwriter coding AI has two main features: a code completion model and a chat model. These features not only make suggestions as users type their code, but also provide intelligent explanations of what a piece of code is doing, tracing dependencies and context. The model can even flag errors and offers solutions — like a full collaborator in a Google Docs for code.   The company is also developing “make me an app” functionality. This tool allows users to provide high-level instructions to an Artificial Developer Intelligence, which then builds, tests and iterates the requested software.   The aim is to make software creation accessible to all, even those with no coding experience. While this feature is still under development, Masad said the company plans to improve it over the next year, potentially having it ready for developers in the next 6 to 8 months.   Going forward, Masad envisions a future where AI functions as a collaborator, able to conduct high-level tasks and even manage resources. “We're entering a period where software is going to feel more alive,” Masad said. “And so I think computing is becoming more humane, more accessible, more exciting, more natural.”  For more on NVIDIA’s startup accelerator program, visit https://www.nvidia.com/en-us/startups/]]></description><guid isPermaLink="false">tag:soundcloud,2010:tracks/1590910059</guid><pubDate>Wed, 16 Aug 2023 00:00:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/56487010/1590910059_theaipodcast_replit_ceo_amjad_masad.mp3" length="40857599" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>Replit aims to empower the next billion software creators.   In this week’s episode of NVIDIA’s AI Podcast, host Noah Kraviz dives into a conversation with Replit CEO Amjad Masad. Masad says the San Francisco-based maker of a software development...</itunes:subtitle><itunes:summary><![CDATA[Replit aims to empower the next billion software creators.   In this week’s episode of NVIDIA’s AI Podcast, host Noah Kraviz dives into a conversation with Replit CEO Amjad Masad. Masad says the San Francisco-based maker of a software development platform, which came up as a member of NVIDIA’s startup accelerator program, wants to bridge the gap between ideas and software, a task simplified by advances in generative AI.   “Replit is fundamentally about reducing the friction between an idea and a software product,” Masad said.   The company’s Ghostwriter coding AI has two main features: a code completion model and a chat model. These features not only make suggestions as users type their code, but also provide intelligent explanations of what a piece of code is doing, tracing dependencies and context. The model can even flag errors and offers solutions — like a full collaborator in a Google Docs for code.   The company is also developing “make me an app” functionality. This tool allows users to provide high-level instructions to an Artificial Developer Intelligence, which then builds, tests and iterates the requested software.   The aim is to make software creation accessible to all, even those with no coding experience. While this feature is still under development, Masad said the company plans to improve it over the next year, potentially having it ready for developers in the next 6 to 8 months.   Going forward, Masad envisions a future where AI functions as a collaborator, able to conduct high-level tasks and even manage resources. “We're entering a period where software is going to feel more alive,” Masad said. “And so I think computing is becoming more humane, more accessible, more exciting, more natural.”  For more on NVIDIA’s startup accelerator program, visit https://www.nvidia.com/en-us/startups/]]></itunes:summary><itunes:duration>2554</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/166d12610f10e691525a09fedc9bdb44.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Codeium’s Varun Mohan and Jeff Wang on Unleashing the Power of AI in Software Development - Ep. 200</title><link>https://www.spreaker.com/episode/codeium-s-varun-mohan-and-jeff-wang-on-unleashing-the-power-of-ai-in-software-development-ep-200--56229081</link><description><![CDATA[The world increasingly runs on code.   Accelerating the work of those who create that code will boost their productivity — and that’s just what AI startup Codeium, a member of NVIDIA’s Inception program for startups, aims to do.   On the latest episode of NVIDIA’s AI Podcast, host Noah Kravitz interviewed Codeium founder and CEO Varun Mohan and Jeff Wang, the company’s head of business, about the company's business, about how AI is transforming software.  Codeium's AI-powered code acceleration toolkit boasts three core features: autocomplete, chat and search.   Autocomplete intelligently suggests code segments, saving developers time by minimizing the need for writing boilerplate or unit tests.   At the same time the chat function empowers developers to rework or even create code with natural language queries, enhancing their coding efficiency while providing searchable context on the entire code base.  Noah spoke with Mohan and Wang about the future of software development with AI, and the continued, essential role of humans in the process.]]></description><guid isPermaLink="false">tag:soundcloud,2010:tracks/1574497063</guid><pubDate>Wed, 26 Jul 2023 00:00:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/56229081/1574497063_theaipodcast_codeiums.mp3" length="37475055" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>The world increasingly runs on code.   Accelerating the work of those who create that code will boost their productivity — and that’s just what AI startup Codeium, a member of NVIDIA’s Inception program for startups, aims to do.   On the latest...</itunes:subtitle><itunes:summary><![CDATA[The world increasingly runs on code.   Accelerating the work of those who create that code will boost their productivity — and that’s just what AI startup Codeium, a member of NVIDIA’s Inception program for startups, aims to do.   On the latest episode of NVIDIA’s AI Podcast, host Noah Kravitz interviewed Codeium founder and CEO Varun Mohan and Jeff Wang, the company’s head of business, about the company's business, about how AI is transforming software.  Codeium's AI-powered code acceleration toolkit boasts three core features: autocomplete, chat and search.   Autocomplete intelligently suggests code segments, saving developers time by minimizing the need for writing boilerplate or unit tests.   At the same time the chat function empowers developers to rework or even create code with natural language queries, enhancing their coding efficiency while providing searchable context on the entire code base.  Noah spoke with Mohan and Wang about the future of software development with AI, and the continued, essential role of humans in the process.]]></itunes:summary><itunes:duration>2343</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/29139db8e08c26ff8848ce025c25186b.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>MosaicML's Naveen Rao on Making Custom LLMs More Accessible - Ep. 199</title><link>https://www.spreaker.com/episode/mosaicml-s-naveen-rao-on-making-custom-llms-more-accessible-ep-199--56071086</link><description><![CDATA[Startup MosaicML is on a mission to help the AI community enhance prediction accuracy, decrease costs, and save time by providing tools for easy training and deployment of large AI models.  In this episode of NVIDIA's AI Podcast, host Noah Kravitz speaks with MosaicML CEO and co-founder Naveen Rao, about how the company aims to democratize access to large language models.  MosaicML, a member of NVIDIA's Inception program, has identified two key barriers to widespread adoption: the difficulty of coordinating a large number of GPUs to train a model and the costs associated with this process.  Making training of models accessible is key for many companies who need to control over model behavior, respect data privacy, and iterate fast to develop new products based on AI.]]></description><guid isPermaLink="false">tag:soundcloud,2010:tracks/1558919602</guid><pubDate>Tue, 11 Jul 2023 00:00:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/56071086/1558919602_theaipodcast_mosaicml_naveen_rao.mp3" length="30190026" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>Startup MosaicML is on a mission to help the AI community enhance prediction accuracy, decrease costs, and save time by providing tools for easy training and deployment of large AI models.  In this episode of NVIDIA's AI Podcast, host Noah Kravitz...</itunes:subtitle><itunes:summary><![CDATA[Startup MosaicML is on a mission to help the AI community enhance prediction accuracy, decrease costs, and save time by providing tools for easy training and deployment of large AI models.  In this episode of NVIDIA's AI Podcast, host Noah Kravitz speaks with MosaicML CEO and co-founder Naveen Rao, about how the company aims to democratize access to large language models.  MosaicML, a member of NVIDIA's Inception program, has identified two key barriers to widespread adoption: the difficulty of coordinating a large number of GPUs to train a model and the costs associated with this process.  Making training of models accessible is key for many companies who need to control over model behavior, respect data privacy, and iterate fast to develop new products based on AI.]]></itunes:summary><itunes:duration>1887</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/cf0f3761f7bc28a55b6aa11e4f99f9c4.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Matice Founder Jessica Whited on Harnassing Regenerative Species for Medical Breakthroughs - Ep. 198</title><link>https://www.spreaker.com/episode/matice-founder-jessica-whited-on-harnassing-regenerative-species-for-medical-breakthroughs-ep-198--55407212</link><description><![CDATA[Scientists at Matice Biosciences are using AI to study the regeneration of tissues in animals known as super-regenerators, such as salamanders and planarians.   The goal of the research is to develop new treatments that will help humans heal from injuries without scarring.  On the latest episode of NVIDIA’s AI Podcast, host Noah Kravtiz spoke with Jessica Whited, a regenerative biologist at Harvard University and co-founder of Matice Biosciences.  https://blogs.nvidia.com/blog/2023/06/21/matice/]]></description><guid isPermaLink="false">tag:soundcloud,2010:tracks/1550643253</guid><pubDate>Wed, 28 Jun 2023 00:00:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/55407212/1550643253_theaipodcast_matice.mp3" length="37584187" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>Scientists at Matice Biosciences are using AI to study the regeneration of tissues in animals known as super-regenerators, such as salamanders and planarians.   The goal of the research is to develop new treatments that will help humans heal from...</itunes:subtitle><itunes:summary><![CDATA[Scientists at Matice Biosciences are using AI to study the regeneration of tissues in animals known as super-regenerators, such as salamanders and planarians.   The goal of the research is to develop new treatments that will help humans heal from injuries without scarring.  On the latest episode of NVIDIA’s AI Podcast, host Noah Kravtiz spoke with Jessica Whited, a regenerative biologist at Harvard University and co-founder of Matice Biosciences.  https://blogs.nvidia.com/blog/2023/06/21/matice/]]></itunes:summary><itunes:duration>2349</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/97227077707a1eafd24eab64be7c5794.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>MIT's Anant Agarwal on AI in Education - Ep. 197</title><link>https://www.spreaker.com/episode/mit-s-anant-agarwal-on-ai-in-education-ep-197--54130541</link><description><![CDATA[In the latest episode of NVIDIA's AI Podcast, Anant Agarwal, founder of edX and Chief Platform Officer at 2U, shared his vision for the future of online education and the impact of artificial intelligence in revolutionizing the learning experience.  Agarwal, a strong advocate for Massive Open Online Courses MOOCs, discussed the importance of accessibility and quality in education. The MIT professor and renowned edtech pioneer also highlighted the implementation of AI-powered features in the edX platform, including the ChatGPT plugin and edX Xpert, an AI-powered learning assistant.]]></description><guid isPermaLink="false">tag:soundcloud,2010:tracks/1532657599</guid><pubDate>Tue, 06 Jun 2023 00:00:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/54130541/1532657599_theaipodcast_edtech.mp3" length="37208860" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>In the latest episode of NVIDIA's AI Podcast, Anant Agarwal, founder of edX and Chief Platform Officer at 2U, shared his vision for the future of online education and the impact of artificial intelligence in revolutionizing the learning experience....</itunes:subtitle><itunes:summary><![CDATA[In the latest episode of NVIDIA's AI Podcast, Anant Agarwal, founder of edX and Chief Platform Officer at 2U, shared his vision for the future of online education and the impact of artificial intelligence in revolutionizing the learning experience.  Agarwal, a strong advocate for Massive Open Online Courses MOOCs, discussed the importance of accessibility and quality in education. The MIT professor and renowned edtech pioneer also highlighted the implementation of AI-powered features in the edX platform, including the ChatGPT plugin and edX Xpert, an AI-powered learning assistant.]]></itunes:summary><itunes:duration>2326</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/4b99fa9a0e330eb28477761ce8fe6a12.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>How Alex Fielding and Privateer Space Are Taking on Space Debris</title><link>https://www.spreaker.com/episode/how-alex-fielding-and-privateer-space-are-taking-on-space-debris--53970508</link><description><![CDATA[In this episode of the NVIDIA AI Podcast, host Noah Kravitz dives into an illuminating conversation with Alex Fielding, co-founder and CEO of Privateer Space.   Fielding is a tech industry veteran, having previously worked alongside Apple co-founder Steve Wozniak on several projects, and holds a deep expertise in engineering, robotics, machine learning and AI.  Privateer Space, Fielding’s latest venture, aims to address one of the most daunting challenges facing our world today: space debris.   The company is creating a data infrastructure to monitor and clean up space debris, ensuring sustainable growth for the budding space economy. In essence, they’re the sanitation engineers of the cosmos.   Privateer Space is also a part of NVIDIA Inception, a free program that offers go-to-market support, expertise and technology for AI startups.  During the podcast, Fielding shares the genesis of Privateer Space, his journey from Apple to the space industry, and his subsequent work on communication between satellites at different altitudes.   He also addresses the severity of space debris, explaining how every launch adds more debris, including minute yet potentially dangerous fragments like frozen propellant and paint chips.  https://blogs.nvidia.com/blog/2023/05/24/pioneer-space]]></description><guid isPermaLink="false">tag:soundcloud,2010:tracks/1518052162</guid><pubDate>Sun, 21 May 2023 00:00:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/53970508/1518052162_theaipodcast_ai_alex_fielding.mp3" length="38404641" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>In this episode of the NVIDIA AI Podcast, host Noah Kravitz dives into an illuminating conversation with Alex Fielding, co-founder and CEO of Privateer Space.   Fielding is a tech industry veteran, having previously worked alongside Apple co-founder...</itunes:subtitle><itunes:summary><![CDATA[In this episode of the NVIDIA AI Podcast, host Noah Kravitz dives into an illuminating conversation with Alex Fielding, co-founder and CEO of Privateer Space.   Fielding is a tech industry veteran, having previously worked alongside Apple co-founder Steve Wozniak on several projects, and holds a deep expertise in engineering, robotics, machine learning and AI.  Privateer Space, Fielding’s latest venture, aims to address one of the most daunting challenges facing our world today: space debris.   The company is creating a data infrastructure to monitor and clean up space debris, ensuring sustainable growth for the budding space economy. In essence, they’re the sanitation engineers of the cosmos.   Privateer Space is also a part of NVIDIA Inception, a free program that offers go-to-market support, expertise and technology for AI startups.  During the podcast, Fielding shares the genesis of Privateer Space, his journey from Apple to the space industry, and his subsequent work on communication between satellites at different altitudes.   He also addresses the severity of space debris, explaining how every launch adds more debris, including minute yet potentially dangerous fragments like frozen propellant and paint chips.  https://blogs.nvidia.com/blog/2023/05/24/pioneer-space]]></itunes:summary><itunes:duration>2401</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/a94fb3c537266a56f1fdef30b4bdd639.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Bojan Tunguz, Johnny Israeli on How AI and Crowdsourcing Can Advance Vaccine Distribution - Ep. 195</title><link>https://www.spreaker.com/episode/bojan-tunguz-johnny-israeli-on-how-ai-and-crowdsourcing-can-advance-vaccine-distribution-ep-195--53805484</link><description><![CDATA[Artificial intelligence is teaming up with crowdsourcing to improve the thermo-stability of mRNA vaccines, making distribution more accessible worldwide.  In this episode of NVIDIA's AI podcast, host Noah Kravitz interviewed Bojan Tunguz, a physicist and senior system software engineer at NVIDIA, and Johnny Israeli, senior manager of AI and cloud software at NVIDIA.   The guests delved into AI's potential in drug discovery and the Stanford Open Vaccine competition, a machine-learning contest using crowdsourcing to tackle the thermo-stability challenges of mRNA vaccines.  Kaggle, the online machine learning competition platform, hosted the Stanford Open Vaccine competition. Tunguz, a quadruple Kaggle grandmaster, shared how Kaggle has grown to encompass not just competitions, but also datasets, code, and discussions. Competitors can earn points, rankings, and status achievements across these four areas.  The fusion of artificial intelligence, crowdsourcing, and machine learning competitions is opening new possibilities in drug discovery and vaccine distribution. By tapping into the collective wisdom and skills of participants worldwide, it becomes possible to solve pressing global problems, such as enhancing the thermo-stability of mRNA vaccines, allowing for a more efficient and widely accessible distribution process.  Don't miss this enlightening conversation on the transformative power of AI and crowdsourcing in mRNA vaccine distribution.]]></description><guid isPermaLink="false">tag:soundcloud,2010:tracks/1502486944</guid><pubDate>Mon, 01 May 2023 00:00:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/53805484/1502486944_theaipodcast_crowdsource.mp3" length="31766568" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>Artificial intelligence is teaming up with crowdsourcing to improve the thermo-stability of mRNA vaccines, making distribution more accessible worldwide.  In this episode of NVIDIA's AI podcast, host Noah Kravitz interviewed Bojan Tunguz, a physicist...</itunes:subtitle><itunes:summary><![CDATA[Artificial intelligence is teaming up with crowdsourcing to improve the thermo-stability of mRNA vaccines, making distribution more accessible worldwide.  In this episode of NVIDIA's AI podcast, host Noah Kravitz interviewed Bojan Tunguz, a physicist and senior system software engineer at NVIDIA, and Johnny Israeli, senior manager of AI and cloud software at NVIDIA.   The guests delved into AI's potential in drug discovery and the Stanford Open Vaccine competition, a machine-learning contest using crowdsourcing to tackle the thermo-stability challenges of mRNA vaccines.  Kaggle, the online machine learning competition platform, hosted the Stanford Open Vaccine competition. Tunguz, a quadruple Kaggle grandmaster, shared how Kaggle has grown to encompass not just competitions, but also datasets, code, and discussions. Competitors can earn points, rankings, and status achievements across these four areas.  The fusion of artificial intelligence, crowdsourcing, and machine learning competitions is opening new possibilities in drug discovery and vaccine distribution. By tapping into the collective wisdom and skills of participants worldwide, it becomes possible to solve pressing global problems, such as enhancing the thermo-stability of mRNA vaccines, allowing for a more efficient and widely accessible distribution process.  Don't miss this enlightening conversation on the transformative power of AI and crowdsourcing in mRNA vaccine distribution.]]></itunes:summary><itunes:duration>1986</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/ebe0d41e04f14196e1f90d08a11a6e7c.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>The Future of Intelligent Vehicle Interiors: Building Trust with HMI &amp; AI - Ep. 194</title><link>https://www.spreaker.com/episode/the-future-of-intelligent-vehicle-interiors-building-trust-with-hmi-ai-ep-194--53654211</link><description><![CDATA[Imagine a future where your vehicle's interior offers personalized experiences and builds trust through human-machine interfaces and artificial intelligence. In this episode of the NVIDIA AI Podcast, host Katie Burke Washabaugh and guest Andreas Binner, Chief Technology Officer at Rightware, delve into this fascinating topic.  Rightware is a company at the forefront of developing in-vehicle HMI. Their platform, Kanzi, works in tandem with NVIDIA DRIVE IX to provide a complete toolchain for designing personalized vehicle interiors for the next generation of transportation, including detailed visualizations of the car's AI.  Andreas touches on his journey into automotive technology and HMI, the evolution of infotainment in the automotive industry over the past decade, and surprising trends in HMI. They explore the influence of AI on HMI, novel AI-enabled features, and the importance of trust in new technologies.  Other topics include the role of HMI in fostering trust between vehicle occupants and the vehicle, the implications of autonomous vehicle visualization, balancing larger in-vehicle screens with driver distraction risks, additional features for trust-building between autonomous vehicles and passengers, and predictions for intelligent cockpits in the next decade.  Learn about the innovations that Rightware's Kanzi platform and NVIDIA DRIVE IX bring to the automotive industry and how they contribute to the development of intelligent vehicle interiors. Tune in.]]></description><guid isPermaLink="false">tag:soundcloud,2010:tracks/1497818689</guid><pubDate>Wed, 26 Apr 2023 00:00:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/53654211/1497818689_theaipodcast_ai_rightware.mp3" length="20067055" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>Imagine a future where your vehicle's interior offers personalized experiences and builds trust through human-machine interfaces and artificial intelligence. In this episode of the NVIDIA AI Podcast, host Katie Burke Washabaugh and guest Andreas...</itunes:subtitle><itunes:summary><![CDATA[Imagine a future where your vehicle's interior offers personalized experiences and builds trust through human-machine interfaces and artificial intelligence. In this episode of the NVIDIA AI Podcast, host Katie Burke Washabaugh and guest Andreas Binner, Chief Technology Officer at Rightware, delve into this fascinating topic.  Rightware is a company at the forefront of developing in-vehicle HMI. Their platform, Kanzi, works in tandem with NVIDIA DRIVE IX to provide a complete toolchain for designing personalized vehicle interiors for the next generation of transportation, including detailed visualizations of the car's AI.  Andreas touches on his journey into automotive technology and HMI, the evolution of infotainment in the automotive industry over the past decade, and surprising trends in HMI. They explore the influence of AI on HMI, novel AI-enabled features, and the importance of trust in new technologies.  Other topics include the role of HMI in fostering trust between vehicle occupants and the vehicle, the implications of autonomous vehicle visualization, balancing larger in-vehicle screens with driver distraction risks, additional features for trust-building between autonomous vehicles and passengers, and predictions for intelligent cockpits in the next decade.  Learn about the innovations that Rightware's Kanzi platform and NVIDIA DRIVE IX bring to the automotive industry and how they contribute to the development of intelligent vehicle interiors. Tune in.]]></itunes:summary><itunes:duration>1255</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/2bbbbb328e2b831778eaa21ecf0471c0.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>How GlüxKind Created Ella, the AI-Powered Smart Stroller - Ep. 193</title><link>https://www.spreaker.com/episode/how-gluxkind-created-ella-the-ai-powered-smart-stroller-ep-193--53514791</link><description><![CDATA[Imagine a stroller that can drive itself, help users up hills, brake on slopes and provide alerts of potential hazards. That’s what GlüxKind has done with Ella, an award-winning smart stroller that uses the NVIDIA Jetson edge AI and robotics platform to power its AI features.   Kevin Huang and Anne Hunger are the co-founders of GlüxKind, a Vancouver-based startup that aims to make parenting easier with AI. They’re also married and have a child together who inspired them to create Ella.   In this episode of the NVIDIA AI Podcast, host Noah Kravitz talks to Huang and Hunger about their journey from being consumers looking for a better stroller to becoming entrepreneurs who built one.   They discuss how NVIDIA Jetson enables Ella’s self-driving capabilities, object detection, voice control and other features that make it stand out from other strollers.   The pair also share their vision for the future of smart baby gear and how they hope to improve the lives of parents and caregivers around the world.]]></description><guid isPermaLink="false">tag:soundcloud,2010:tracks/1490530207</guid><pubDate>Mon, 10 Apr 2023 00:00:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/53514791/1490530207_theaipodcast_ai_stroller.mp3" length="25355910" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>Imagine a stroller that can drive itself, help users up hills, brake on slopes and provide alerts of potential hazards. That’s what GlüxKind has done with Ella, an award-winning smart stroller that uses the NVIDIA Jetson edge AI and robotics platform...</itunes:subtitle><itunes:summary><![CDATA[Imagine a stroller that can drive itself, help users up hills, brake on slopes and provide alerts of potential hazards. That’s what GlüxKind has done with Ella, an award-winning smart stroller that uses the NVIDIA Jetson edge AI and robotics platform to power its AI features.   Kevin Huang and Anne Hunger are the co-founders of GlüxKind, a Vancouver-based startup that aims to make parenting easier with AI. They’re also married and have a child together who inspired them to create Ella.   In this episode of the NVIDIA AI Podcast, host Noah Kravitz talks to Huang and Hunger about their journey from being consumers looking for a better stroller to becoming entrepreneurs who built one.   They discuss how NVIDIA Jetson enables Ella’s self-driving capabilities, object detection, voice control and other features that make it stand out from other strollers.   The pair also share their vision for the future of smart baby gear and how they hope to improve the lives of parents and caregivers around the world.]]></itunes:summary><itunes:duration>1585</itunes:duration><itunes:keywords>xkind</itunes:keywords><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/12d23d98386c6f01a41e869a6dd408fb.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Ubisoft’s Yves Jacquier on How Generative Will Revolutionize Gaming</title><link>https://www.spreaker.com/episode/ubisoft-s-yves-jacquier-on-how-generative-will-revolutionize-gaming--53378157</link><description><![CDATA[Tools like ChatGPT have awakened the world to the potential of generative AI. Now, much more is coming.  On the latest episode of NVIDIA’s AI Podcast, Yves Jacquier, executive director of Ubisoft La Forge, shares valuable insights into the transformative potential of generative AI in the gaming industry. With over two decades of experience in technology innovation, science and R&amp;D management across various sectors, Jacquier’s comprehensive expertise makes him a true visionary in the field.  During his conversation with podcast host Noah Kravitz, Jacquier highlighted how generative AI, which enables computers to create unique content such as images, text and music, is already revolutionizing the gaming sector. By designing new levels, characters and items, and generating realistic graphics and soundscapes, this cutting-edge technology offers countless opportunities for more immersive and engaging experiences.  As the driving force behind Ubisoft La Forge, Jacquier plays a crucial role in shaping the company’s academic R&amp;D strategy. Key milestones include establishing a chair in AI deep learning in 2011 and founding Ubisoft La Forge, the first lab in the gaming industry dedicated to applied academic research — research that’s being translated into state-of-the-art gaming experiences.]]></description><guid isPermaLink="false">tag:soundcloud,2010:tracks/1475533357</guid><pubDate>Wed, 29 Mar 2023 00:00:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/53378157/1475533357_theaipodcast_ai_ubisoft.mp3" length="34028563" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>Tools like ChatGPT have awakened the world to the potential of generative AI. Now, much more is coming.  On the latest episode of NVIDIA’s AI Podcast, Yves Jacquier, executive director of Ubisoft La Forge, shares valuable insights into the...</itunes:subtitle><itunes:summary><![CDATA[Tools like ChatGPT have awakened the world to the potential of generative AI. Now, much more is coming.  On the latest episode of NVIDIA’s AI Podcast, Yves Jacquier, executive director of Ubisoft La Forge, shares valuable insights into the transformative potential of generative AI in the gaming industry. With over two decades of experience in technology innovation, science and R&amp;D management across various sectors, Jacquier’s comprehensive expertise makes him a true visionary in the field.  During his conversation with podcast host Noah Kravitz, Jacquier highlighted how generative AI, which enables computers to create unique content such as images, text and music, is already revolutionizing the gaming sector. By designing new levels, characters and items, and generating realistic graphics and soundscapes, this cutting-edge technology offers countless opportunities for more immersive and engaging experiences.  As the driving force behind Ubisoft La Forge, Jacquier plays a crucial role in shaping the company’s academic R&amp;D strategy. Key milestones include establishing a chair in AI deep learning in 2011 and founding Ubisoft La Forge, the first lab in the gaming industry dedicated to applied academic research — research that’s being translated into state-of-the-art gaming experiences.]]></itunes:summary><itunes:duration>2127</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/8cf8eb478eb7542cbad4fbe695ded745.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Peter Ma on Using AI to Find 8 Possible Signals of Alien Life - Ep. 191</title><link>https://www.spreaker.com/episode/peter-ma-on-using-ai-to-find-8-possible-signals-of-alien-life-ep-191--53224290</link><description><![CDATA[Peter Ma was bored in his high school computer science class. So he decided to teach himself something new: how to use artificial intelligence to find alien life.  That’s how he eventually became the lead author of a groundbreaking study published in Nature Astronomy.   The study reveals how Ma and his co-authors used AI to analyze a massive dataset of radio signals collected by the SETI Breakthrough Listen project.   They found eight signals that might just be technosignatures, or signs of alien technology.   In this episode of the NVIDIA AI Podcast, host Noah Kravitz interviews Ma, who is now an undergraduate student at the University of Toronto.   Ma tells Kravitz how he stumbled upon this problem and how he developed an AI algorithm that outperformed traditional methods in the search for extraterrestrial intelligence.  You can read more about Ma’s research on NVIDIA’s blog: https://blogs.nvidia.com/blog/2023/02/06/ai-potential-alien-signals/]]></description><guid isPermaLink="false">tag:soundcloud,2010:tracks/1469975854</guid><pubDate>Thu, 16 Mar 2023 00:00:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/53224290/1469975854_theaipodcast_peter_ma_ai_technosignatures.mp3" length="32810630" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>Peter Ma was bored in his high school computer science class. So he decided to teach himself something new: how to use artificial intelligence to find alien life.  That’s how he eventually became the lead author of a groundbreaking study published in...</itunes:subtitle><itunes:summary><![CDATA[Peter Ma was bored in his high school computer science class. So he decided to teach himself something new: how to use artificial intelligence to find alien life.  That’s how he eventually became the lead author of a groundbreaking study published in Nature Astronomy.   The study reveals how Ma and his co-authors used AI to analyze a massive dataset of radio signals collected by the SETI Breakthrough Listen project.   They found eight signals that might just be technosignatures, or signs of alien technology.   In this episode of the NVIDIA AI Podcast, host Noah Kravitz interviews Ma, who is now an undergraduate student at the University of Toronto.   Ma tells Kravitz how he stumbled upon this problem and how he developed an AI algorithm that outperformed traditional methods in the search for extraterrestrial intelligence.  You can read more about Ma’s research on NVIDIA’s blog: https://blogs.nvidia.com/blog/2023/02/06/ai-potential-alien-signals/]]></itunes:summary><itunes:duration>2051</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/66a7a1170b0ad9f9408a8b34f9519e85.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Glean Founders Talk AI-Powered Enterprise Search on NVIDIA Podcast - Ep. 190</title><link>https://www.spreaker.com/episode/glean-founders-talk-ai-powered-enterprise-search-on-nvidia-podcast-ep-190--53060566</link><description><![CDATA[In the quest for knowledge at work, it can be tempting to think that finding what you need is like a needle in a haystack. But what if the haystack itself could show you where the needle is?  That's the promise of large language models, or LLMs as they’re known, and it's the subject of a this week’s episode of NVIDIA’s AI Podcast featuring DeeDee Das and Eddie Zhou, founding engineers at Glean, in conversation with our host, Noah Kravitz.    With large-language models, the haystack can become a source of intelligence, helping guide knowledge workers on what they need to know.   Glean is a Silicon Valley startup focused on providing better tools for enterprise search by indexing everything employees have access to in the company, including Slack, Dropbox, and email. The company raised a Series C financing round last year, valuing the company at $1 billion.   By indexing everything employees have access to in the company, LLMs can provide a comprehensive view of the enterprise and its data, making it easier to find the information needed to get work done.   In the podcast, Das and Zhou discuss the challenges and opportunities of bringing LLMs into the enterprise, and how this technology can help people spend less time searching and more time working.]]></description><guid isPermaLink="false">tag:soundcloud,2010:tracks/1455306718</guid><pubDate>Wed, 01 Mar 2023 00:00:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/53060566/1455306718_theaipodcast_glean_enterprise_search_llm.mp3" length="31666676" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>In the quest for knowledge at work, it can be tempting to think that finding what you need is like a needle in a haystack. But what if the haystack itself could show you where the needle is?  That's the promise of large language models, or LLMs as...</itunes:subtitle><itunes:summary><![CDATA[In the quest for knowledge at work, it can be tempting to think that finding what you need is like a needle in a haystack. But what if the haystack itself could show you where the needle is?  That's the promise of large language models, or LLMs as they’re known, and it's the subject of a this week’s episode of NVIDIA’s AI Podcast featuring DeeDee Das and Eddie Zhou, founding engineers at Glean, in conversation with our host, Noah Kravitz.    With large-language models, the haystack can become a source of intelligence, helping guide knowledge workers on what they need to know.   Glean is a Silicon Valley startup focused on providing better tools for enterprise search by indexing everything employees have access to in the company, including Slack, Dropbox, and email. The company raised a Series C financing round last year, valuing the company at $1 billion.   By indexing everything employees have access to in the company, LLMs can provide a comprehensive view of the enterprise and its data, making it easier to find the information needed to get work done.   In the podcast, Das and Zhou discuss the challenges and opportunities of bringing LLMs into the enterprise, and how this technology can help people spend less time searching and more time working.]]></itunes:summary><itunes:duration>1980</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/f2aed3c0b2df6dc171ac439577c05917.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Making a Splash: AI Can Help Protect Ocean Goers from Deadly Rips - Ep. 189</title><link>https://www.spreaker.com/episode/making-a-splash-ai-can-help-protect-ocean-goers-from-deadly-rips-ep-189--53063392</link><description><![CDATA[Surfers, swimmers, and beachgoers face a hidden danger in the ocean: rip currents. These narrow channels of water can flow away from the shore at speeds up to 2.5 meters per second, making them one of the biggest safety risks for those enjoying the ocean.   To help keep beachgoers safe, Dr. Christo Rautenbach, a coastal and estuarine physical processes scientist, has teamed up with the National Institute of Water and Atmospheric Research in New Zealand to develop a real-time rip current identification tool using deep learning.  On this episode of the NVIDIA AI podcast, host Noah Kravitz interviews Dr. Rautenbach about the technology behind the rip current detection tool. The tool was developed by Dr. Rautenbach and NIWA in collaboration with Surf Lifesaving New Zealand and achieved a detection rate of roughly 90% in trials. The research behind the technology was published in the November 22nd edition of the journal Remote Sensing.  Dr. Rautenbach explains how AI can be used to identify rip currents, a critical step in keeping beachgoers safe. He shares the research behind the technology and the results of the trials, as well as the potential for this tool to be used globally to help reduce the number of fatalities caused by rip currents. Tune in.  https://blogs.nvidia.com/blog/2023/02/15/rip]]></description><guid isPermaLink="false">tag:soundcloud,2010:tracks/1435966984</guid><pubDate>Wed, 15 Feb 2023 00:00:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/53063392/1435966984_theaipodcast_ai_christo_rautenbach.mp3" length="35317968" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>Surfers, swimmers, and beachgoers face a hidden danger in the ocean: rip currents. These narrow channels of water can flow away from the shore at speeds up to 2.5 meters per second, making them one of the biggest safety risks for those enjoying the...</itunes:subtitle><itunes:summary><![CDATA[Surfers, swimmers, and beachgoers face a hidden danger in the ocean: rip currents. These narrow channels of water can flow away from the shore at speeds up to 2.5 meters per second, making them one of the biggest safety risks for those enjoying the ocean.   To help keep beachgoers safe, Dr. Christo Rautenbach, a coastal and estuarine physical processes scientist, has teamed up with the National Institute of Water and Atmospheric Research in New Zealand to develop a real-time rip current identification tool using deep learning.  On this episode of the NVIDIA AI podcast, host Noah Kravitz interviews Dr. Rautenbach about the technology behind the rip current detection tool. The tool was developed by Dr. Rautenbach and NIWA in collaboration with Surf Lifesaving New Zealand and achieved a detection rate of roughly 90% in trials. The research behind the technology was published in the November 22nd edition of the journal Remote Sensing.  Dr. Rautenbach explains how AI can be used to identify rip currents, a critical step in keeping beachgoers safe. He shares the research behind the technology and the results of the trials, as well as the potential for this tool to be used globally to help reduce the number of fatalities caused by rip currents. Tune in.  https://blogs.nvidia.com/blog/2023/02/15/rip]]></itunes:summary><itunes:duration>2208</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/a6242ad7e2e4796b3f74bf295b61683c.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Deloitte’s Nitin Mittal on the Secrets of 'All-In' AI Success - Ep. 188</title><link>https://www.spreaker.com/episode/deloitte-s-nitin-mittal-on-the-secrets-of-all-in-ai-success-ep-188--52683400</link><description><![CDATA[Artificial intelligence is the new electricity. The fifth industrial revolution. And companies that go all-in on AI are reaping the rewards. So how do you make that happen?   That big question — how? — is explored by Nitin Mittal, Principal at Deloitte, one of the world’s largest professional services organizations, and co-author Thomas Davenport in their new book "All-In On AI: How Smart Companies Win Big with Artificial Intelligence.”   On the latest episode of NVIDIA’s AI Podcast, host Noah Kravitz speaks with Mittal, who leads Deloitte's artificial intelligence growth platform spoke about how companies across a wide variety of industries used AI to radically transform their organizations and achieve competitive advantage.   The book, from the Harvard Business Review Press, explores the importance of a company-wide commitment to AI and the role of leadership in driving the adoption and implementation of AI. Mittal emphasizes that companies must have a clear strategy and plan, and invest in the necessary technology and talent to make the most of AI.]]></description><guid isPermaLink="false">tag:soundcloud,2010:tracks/1435453027</guid><pubDate>Thu, 09 Feb 2023 16:48:43 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/52683400/1435453027_theaipodcast_ai_deloitte.mp3" length="37091786" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>Artificial intelligence is the new electricity. The fifth industrial revolution. And companies that go all-in on AI are reaping the rewards. So how do you make that happen?   That big question — how? — is explored by Nitin Mittal, Principal at...</itunes:subtitle><itunes:summary><![CDATA[Artificial intelligence is the new electricity. The fifth industrial revolution. And companies that go all-in on AI are reaping the rewards. So how do you make that happen?   That big question — how? — is explored by Nitin Mittal, Principal at Deloitte, one of the world’s largest professional services organizations, and co-author Thomas Davenport in their new book "All-In On AI: How Smart Companies Win Big with Artificial Intelligence.”   On the latest episode of NVIDIA’s AI Podcast, host Noah Kravitz speaks with Mittal, who leads Deloitte's artificial intelligence growth platform spoke about how companies across a wide variety of industries used AI to radically transform their organizations and achieve competitive advantage.   The book, from the Harvard Business Review Press, explores the importance of a company-wide commitment to AI and the role of leadership in driving the adoption and implementation of AI. Mittal emphasizes that companies must have a clear strategy and plan, and invest in the necessary technology and talent to make the most of AI.]]></itunes:summary><itunes:duration>2319</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/9220a4877474bb57bc41cc60cdf5b3b0.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>AI Tool:OpenAI-Chatgpt👇</title><link>https://www.spreaker.com/episode/ai-tool-openai-chatgpt--52650648</link><description><![CDATA[The advanced tool in Artificial Intelligence to ruled the world..]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/52650648</guid><pubDate>Mon, 06 Feb 2023 15:09:16 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/52650648/draft_1675694181860617_audio.mp3" length="4955742" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>The advanced tool in Artificial Intelligence to ruled the world..</itunes:subtitle><itunes:summary><![CDATA[The advanced tool in Artificial Intelligence to ruled the world..]]></itunes:summary><itunes:duration>310</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/bac0f1821045b240f8d286a1a188b39d.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Sequoia Capital’s Pat Grady and Sonya Huang on Generative AI - Ep. 187</title><link>https://www.spreaker.com/episode/sequoia-capital-s-pat-grady-and-sonya-huang-on-generative-ai-ep-187--52683403</link><description><![CDATA[In the latest episode of the NVIDIA AI Podcast, host Noah Kravitz is joined by Pat Grady and Sonya Huang, partners at Sequoia Capital, to discuss their recent essay, “Generative AI: A Creative New World.”  The authors delve into the potential of generative AI to enable new forms of creativity and expression, as well as the challenges and ethical considerations of this technology. They also offer insights into the future of generative AI.  Grady and Huang emphasize the potential of generative AI to revolutionize industries such as art, design and media by allowing for the creation of unique, personalized content on a scale that would be impossible for humans to achieve alone.   They also address the importance of considering the ethical implications of the technology, including the potential for biased or harmful outputs and the need for responsible use and regulation.  Listen to the full episode to hear more about the possibilities of generative AI and the considerations to be made as this technology moves forward.]]></description><guid isPermaLink="false">tag:soundcloud,2010:tracks/1416677611</guid><pubDate>Wed, 18 Jan 2023 00:00:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/52683403/1416677611_theaipodcast_sequoia_capitals_pat_grady_and_sonya_huang_on_generative_ai_ep_187.mp3" length="41024364" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>In the latest episode of the NVIDIA AI Podcast, host Noah Kravitz is joined by Pat Grady and Sonya Huang, partners at Sequoia Capital, to discuss their recent essay, “Generative AI: A Creative New World.”  The authors delve into the potential of...</itunes:subtitle><itunes:summary><![CDATA[In the latest episode of the NVIDIA AI Podcast, host Noah Kravitz is joined by Pat Grady and Sonya Huang, partners at Sequoia Capital, to discuss their recent essay, “Generative AI: A Creative New World.”  The authors delve into the potential of generative AI to enable new forms of creativity and expression, as well as the challenges and ethical considerations of this technology. They also offer insights into the future of generative AI.  Grady and Huang emphasize the potential of generative AI to revolutionize industries such as art, design and media by allowing for the creation of unique, personalized content on a scale that would be impossible for humans to achieve alone.   They also address the importance of considering the ethical implications of the technology, including the potential for biased or harmful outputs and the need for responsible use and regulation.  Listen to the full episode to hear more about the possibilities of generative AI and the considerations to be made as this technology moves forward.]]></itunes:summary><itunes:duration>2564</itunes:duration><itunes:explicit>true</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/f2aed3c0b2df6dc171ac439577c05917.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>UF Provost Joe Glover on Building a Leading AI University - Ep. 186</title><link>https://www.spreaker.com/episode/uf-provost-joe-glover-on-building-a-leading-ai-university-ep-186--52683410</link><description><![CDATA[When NVIDIA co-founder Chris Malachowsky approached University of Florida Provost Joe Glover with the offer of an AI supercomputer, he couldn't have predicted the transformative impact it would have on the university.   In just a short time, UF has become one of the top public colleges in the US and developed a groundbreaking neural network for healthcare research.  In a recent episode of NVIDIA’s AI Podcast, host Noah Kravitz sat down with Joe Glover, provost and senior vice president of academic affairs at the University of Florida.   The two discussed the university’s efforts to put AI to work across all aspects of higher education, including a public-private partnership with NVIDIA that has helped transform UF into one of the leading AI universities in the country.  Just a year after the partnership was unveiled in July 2020, UF rose to number five on the US News and World Report’s list of the best public colleges in the US. The ranking was, in part a recognition of UF’s vision for infusing AI into its teaching and research.  https://blogs.nvidia.com/blog/2023/01/04/university-of-florida-ai/]]></description><guid isPermaLink="false">tag:soundcloud,2010:tracks/1412938858</guid><pubDate>Wed, 04 Jan 2023 00:00:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/52683410/1412938858_theaipodcast_university_of_florida_ai.mp3" length="26789928" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>When NVIDIA co-founder Chris Malachowsky approached University of Florida Provost Joe Glover with the offer of an AI supercomputer, he couldn't have predicted the transformative impact it would have on the university.   In just a short time, UF has...</itunes:subtitle><itunes:summary><![CDATA[When NVIDIA co-founder Chris Malachowsky approached University of Florida Provost Joe Glover with the offer of an AI supercomputer, he couldn't have predicted the transformative impact it would have on the university.   In just a short time, UF has become one of the top public colleges in the US and developed a groundbreaking neural network for healthcare research.  In a recent episode of NVIDIA’s AI Podcast, host Noah Kravitz sat down with Joe Glover, provost and senior vice president of academic affairs at the University of Florida.   The two discussed the university’s efforts to put AI to work across all aspects of higher education, including a public-private partnership with NVIDIA that has helped transform UF into one of the leading AI universities in the country.  Just a year after the partnership was unveiled in July 2020, UF rose to number five on the US News and World Report’s list of the best public colleges in the US. The ranking was, in part a recognition of UF’s vision for infusing AI into its teaching and research.  https://blogs.nvidia.com/blog/2023/01/04/university-of-florida-ai/]]></itunes:summary><itunes:duration>1675</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/26bcf4dfe01f9a69b176591f9a2013e5.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Hittin’ the Sim: NVIDIA’s Matt Cragun on Conditioning Autonomous Vehicles in Simulation - Ep. 185</title><link>https://www.spreaker.com/episode/hittin-the-sim-nvidia-s-matt-cragun-on-conditioning-autonomous-vehicles-in-simulation-ep-185--52683405</link><description><![CDATA[Training, testing and validating autonomous vehicles requires a continuous pipeline — or data factory — to introduce new scenarios and refine deep neural networks.  A key component of this process is simulation. AV developers can test a virtually limitless number of scenarios, repeatably and at scale, with high-fidelity, physically based simulation. And like much of the technology related to AI, simulation is constantly evolving and improving, getting ever nearer to closing the gap between the real and virtual worlds.  NVIDIA DRIVE Sim, built on Omniverse, provides a virtual proving ground for AV testing and validation. It’s a highly accurate simulation platform with the ability to enable groundbreaking tools, including synthetic data generation and neural reconstruction, to build digital twins of driving environments and scenarios.  Matt Cragun, senior product manager for AV simulation at NVIDIA, joined the AI Podcast to discuss the development of simulation for self-driving technology, detailing the origins and inner workings of DRIVE Sim.  He also provided a sneak peek into the frontiers researchers are exploring for this critical testing and validation technology.  https://blogs.nvidia.com/blog/2022/12/07/autonomous-vehicles-simulation/]]></description><guid isPermaLink="false">tag:soundcloud,2010:tracks/1392173029</guid><pubDate>Tue, 06 Dec 2022 00:00:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/52683405/1392173029_theaipodcast_autonomous_vehicles_simulation.mp3" length="28063868" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>Training, testing and validating autonomous vehicles requires a continuous pipeline — or data factory — to introduce new scenarios and refine deep neural networks.  A key component of this process is simulation. AV developers can test a virtually...</itunes:subtitle><itunes:summary><![CDATA[Training, testing and validating autonomous vehicles requires a continuous pipeline — or data factory — to introduce new scenarios and refine deep neural networks.  A key component of this process is simulation. AV developers can test a virtually limitless number of scenarios, repeatably and at scale, with high-fidelity, physically based simulation. And like much of the technology related to AI, simulation is constantly evolving and improving, getting ever nearer to closing the gap between the real and virtual worlds.  NVIDIA DRIVE Sim, built on Omniverse, provides a virtual proving ground for AV testing and validation. It’s a highly accurate simulation platform with the ability to enable groundbreaking tools, including synthetic data generation and neural reconstruction, to build digital twins of driving environments and scenarios.  Matt Cragun, senior product manager for AV simulation at NVIDIA, joined the AI Podcast to discuss the development of simulation for self-driving technology, detailing the origins and inner workings of DRIVE Sim.  He also provided a sneak peek into the frontiers researchers are exploring for this critical testing and validation technology.  https://blogs.nvidia.com/blog/2022/12/07/autonomous-vehicles-simulation/]]></itunes:summary><itunes:duration>1754</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/b08f39e09c410eeaf37f1f96d2f78338.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>AI-Equipped Drones Could Offer Real-Time Updates on Endangered African Black Rhinos - Ep. 182</title><link>https://www.spreaker.com/episode/ai-equipped-drones-could-offer-real-time-updates-on-endangered-african-black-rhinos-ep-182--52683409</link><description><![CDATA[In the latest example of how researchers are using the latest technologies to track animals less invasively, a team of researchers has proposed harnessing high-flying AI-equipped drones powered to track the endangered black rhino through the wilds of Namibia.  In a paper published earlier this year in the journal PeerJ, the researchers show the potential of drone-based AI to identify animals in even the remotest areas and provide real-time updates on their status from the air.  While drones — and technology of just about every kind — have been harnessed to track African wildlife, the proposal promises to help gamekeepers move faster to protect rhinos and other megafauna from poachers.  AI Podcast host Noah Kravitz spoke to two of the authors of the paper.   Zoey Jewel is co founder and president of wild track.org, a global network of biologists and conservationists dedicated to non invasive wildlife monitoring techniques. And Alice Hua is a recent graduate of the School of Information at UC Berkeley in California, and an ML platform engineer at CrowdStrike.   And for more, read the full paper at https://peerj.com/articles/13779/.]]></description><guid isPermaLink="false">tag:soundcloud,2010:tracks/1373296717</guid><pubDate>Sat, 05 Nov 2022 00:00:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/52683409/1373296717_theaipodcast_ai_zoe_jewell_alice_hua.mp3" length="26147943" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>In the latest example of how researchers are using the latest technologies to track animals less invasively, a team of researchers has proposed harnessing high-flying AI-equipped drones powered to track the endangered black rhino through the wilds of...</itunes:subtitle><itunes:summary><![CDATA[In the latest example of how researchers are using the latest technologies to track animals less invasively, a team of researchers has proposed harnessing high-flying AI-equipped drones powered to track the endangered black rhino through the wilds of Namibia.  In a paper published earlier this year in the journal PeerJ, the researchers show the potential of drone-based AI to identify animals in even the remotest areas and provide real-time updates on their status from the air.  While drones — and technology of just about every kind — have been harnessed to track African wildlife, the proposal promises to help gamekeepers move faster to protect rhinos and other megafauna from poachers.  AI Podcast host Noah Kravitz spoke to two of the authors of the paper.   Zoey Jewel is co founder and president of wild track.org, a global network of biologists and conservationists dedicated to non invasive wildlife monitoring techniques. And Alice Hua is a recent graduate of the School of Information at UC Berkeley in California, and an ML platform engineer at CrowdStrike.   And for more, read the full paper at https://peerj.com/articles/13779/.]]></itunes:summary><itunes:duration>1635</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/93f5e3285aba648dec083285080324d8.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>How Tarteel Uses AI to Help Arabic Learners Perfect Their Pronunciation - Ep. 181</title><link>https://www.spreaker.com/episode/how-tarteel-uses-ai-to-help-arabic-learners-perfect-their-pronunciation-ep-181--52683402</link><description><![CDATA[There are some 1.8 billion Muslims, but only 16% or so of them speak Arabic, the language of the Quran.   This is in part due to the fact that many Muslims struggle to find qualified instructors to give them feedback on their Quran recitation. Enter today’s guest and his company Tarteel, a member of the NVIDIA Inception program for startups.   Tarteel was founded with the mission of strengthening the relationship Muslims have with the Quran.   The company is accomplishing this with a fusion of Islamic principles and cutting-edge technology.   AI Podcast host Noah Kravitz spoke with Tarteel CEO Anas Abou Allaban, to learn more.]]></description><guid isPermaLink="false">tag:soundcloud,2010:tracks/1365975223</guid><pubDate>Thu, 20 Oct 2022 00:00:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/52683402/1365975223_theaipodcast_tarteel_ai.mp3" length="28452570" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>There are some 1.8 billion Muslims, but only 16% or so of them speak Arabic, the language of the Quran.   This is in part due to the fact that many Muslims struggle to find qualified instructors to give them feedback on their Quran recitation. Enter...</itunes:subtitle><itunes:summary><![CDATA[There are some 1.8 billion Muslims, but only 16% or so of them speak Arabic, the language of the Quran.   This is in part due to the fact that many Muslims struggle to find qualified instructors to give them feedback on their Quran recitation. Enter today’s guest and his company Tarteel, a member of the NVIDIA Inception program for startups.   Tarteel was founded with the mission of strengthening the relationship Muslims have with the Quran.   The company is accomplishing this with a fusion of Islamic principles and cutting-edge technology.   AI Podcast host Noah Kravitz spoke with Tarteel CEO Anas Abou Allaban, to learn more.]]></itunes:summary><itunes:duration>1779</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/11e5dd2e4430d7d93b0ebf20baf4f501.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Reinventing the Wheel: Gatik’s Apeksha Kumavat Accelerates Autonomous Delivery - Ep. 178</title><link>https://www.spreaker.com/episode/reinventing-the-wheel-gatik-s-apeksha-kumavat-accelerates-autonomous-delivery-ep-178--52683401</link><description><![CDATA[As consumers expect faster, cheaper deliveries, companies are turning to AI to rethink how they move goods.   Foremost among these new systems are “hub-and-spoke,” or middle-mile, operations, where companies place distribution centers closer to retail operations for quicker access to inventory. However, faster delivery is just part of the equation. These systems must also be low cost for consumers.  Autonomous delivery company Gatik seeks to provide lasting solutions for faster and cheaper shipping. By automating the routes between the hub — the distribution center — and the spokes — retail stores — these operations can run around the clock efficiently and with minimal investment.  Gatik co-founder and Chief Engineer Apeksha Kumavat joined NVIDIA’s Katie Burke Washabaugh on the latest episode of the AI Podcast to walk through how the company is developing autonomous trucks for middle-mile delivery.  https://blogs.nvidia.com/blog/2022/09/14/gatik-podcast/]]></description><guid isPermaLink="false">tag:soundcloud,2010:tracks/1342943932</guid><pubDate>Wed, 14 Sep 2022 00:00:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/52683401/1342943932_theaipodcast_ai_gatik.mp3" length="31201906" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>As consumers expect faster, cheaper deliveries, companies are turning to AI to rethink how they move goods.   Foremost among these new systems are “hub-and-spoke,” or middle-mile, operations, where companies place distribution centers closer to retail...</itunes:subtitle><itunes:summary><![CDATA[As consumers expect faster, cheaper deliveries, companies are turning to AI to rethink how they move goods.   Foremost among these new systems are “hub-and-spoke,” or middle-mile, operations, where companies place distribution centers closer to retail operations for quicker access to inventory. However, faster delivery is just part of the equation. These systems must also be low cost for consumers.  Autonomous delivery company Gatik seeks to provide lasting solutions for faster and cheaper shipping. By automating the routes between the hub — the distribution center — and the spokes — retail stores — these operations can run around the clock efficiently and with minimal investment.  Gatik co-founder and Chief Engineer Apeksha Kumavat joined NVIDIA’s Katie Burke Washabaugh on the latest episode of the AI Podcast to walk through how the company is developing autonomous trucks for middle-mile delivery.  https://blogs.nvidia.com/blog/2022/09/14/gatik-podcast/]]></itunes:summary><itunes:duration>1951</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/58bc60c41ce639caaa1478a27f80d79f.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Rendered.ai CEO Nathan Kundtz on Using AI to Build Better AI - Ep. 177</title><link>https://www.spreaker.com/episode/rendered-ai-ceo-nathan-kundtz-on-using-ai-to-build-better-ai-ep-177--52683408</link><description><![CDATA[Data is the fuel that makes artificial intelligence run.   Training machine learning and AI systems requires data. And the quality of datasets has a big impact on the systems’ results.   But compiling quality real-world data for AI and ML can be difficult and expensive.   That’s where synthetic data comes in.   The guest for this week’s AI Podcast episode, Nathan Kundtz, is founder and CEO of Rendered.ai, a platform as a service for creating synthetic data to train AI models. The company is also a member of NVIDIA Inception, a free, global program that nurtures cutting-edge startups.  https://blogs.nvidia.com/blog/2022/08/31/rendered-ai/]]></description><guid isPermaLink="false">tag:soundcloud,2010:tracks/1326089404</guid><pubDate>Wed, 31 Aug 2022 13:00:09 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/52683408/1326089404_theaipodcast_renderedai.mp3" length="30059205" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>Data is the fuel that makes artificial intelligence run.   Training machine learning and AI systems requires data. And the quality of datasets has a big impact on the systems’ results.   But compiling quality real-world data for AI and ML can be...</itunes:subtitle><itunes:summary><![CDATA[Data is the fuel that makes artificial intelligence run.   Training machine learning and AI systems requires data. And the quality of datasets has a big impact on the systems’ results.   But compiling quality real-world data for AI and ML can be difficult and expensive.   That’s where synthetic data comes in.   The guest for this week’s AI Podcast episode, Nathan Kundtz, is founder and CEO of Rendered.ai, a platform as a service for creating synthetic data to train AI models. The company is also a member of NVIDIA Inception, a free, global program that nurtures cutting-edge startups.  https://blogs.nvidia.com/blog/2022/08/31/rendered-ai/]]></itunes:summary><itunes:duration>1879</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/f2aed3c0b2df6dc171ac439577c05917.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>NVIDIA’s Clément Farabet on Orchestrating AI Training for Autonomous Vehicles - Ep. 175</title><link>https://www.spreaker.com/episode/nvidia-s-clement-farabet-on-orchestrating-ai-training-for-autonomous-vehicles-ep-175--52683407</link><description><![CDATA[Autonomous vehicles are one of the most complex AI challenges of our time. The networks running in the car must act as an intricate symphony, requiring intensive training, testing and validation on massive amounts of data to operate safely in the real world.  Clément Farabet is the Vice President of AI Infrastructure at NVIDIA, and is the proverbial maestro behind the AV development orchestra. He’s applying nearly 15 years of experience in deep learning — including building Twitter’s AI machine — to teach neural networks how to perceive and react to the world around them.  Farabet sat down with NVIDIA’s Katie Burke Washabaugh on the latest episode of the AI Podcast to discuss how the early days of deep learning led to today’s flourishing AV industry, and how he’s approaching DNN development.  Tapping into the performance of the NVIDIA SaturnV supercomputer, Farabet is designing a highly scalable data factory to deliver intelligent transportation in the near term, and is looking ahead to the next frontiers in AI.]]></description><guid isPermaLink="false">tag:soundcloud,2010:tracks/1316650894</guid><pubDate>Tue, 02 Aug 2022 00:00:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/52683407/1316650894_theaipodcast_nvidia_clement_farabet_ai_training_av.mp3" length="28424567" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>Autonomous vehicles are one of the most complex AI challenges of our time. The networks running in the car must act as an intricate symphony, requiring intensive training, testing and validation on massive amounts of data to operate safely in the real...</itunes:subtitle><itunes:summary><![CDATA[Autonomous vehicles are one of the most complex AI challenges of our time. The networks running in the car must act as an intricate symphony, requiring intensive training, testing and validation on massive amounts of data to operate safely in the real world.  Clément Farabet is the Vice President of AI Infrastructure at NVIDIA, and is the proverbial maestro behind the AV development orchestra. He’s applying nearly 15 years of experience in deep learning — including building Twitter’s AI machine — to teach neural networks how to perceive and react to the world around them.  Farabet sat down with NVIDIA’s Katie Burke Washabaugh on the latest episode of the AI Podcast to discuss how the early days of deep learning led to today’s flourishing AV industry, and how he’s approaching DNN development.  Tapping into the performance of the NVIDIA SaturnV supercomputer, Farabet is designing a highly scalable data factory to deliver intelligent transportation in the near term, and is looking ahead to the next frontiers in AI.]]></itunes:summary><itunes:duration>1777</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/4fe195fdd31efc1af569df843f2ba02d.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>AI of the Tiger: Conservation Biologist Jeremy Dertien - Ep. 156</title><link>https://www.spreaker.com/episode/ai-of-the-tiger-conservation-biologist-jeremy-dertien-ep-156--52683412</link><description><![CDATA[Fewer than 4,000 tigers remain worldwide, according to Tigers United, a university consortium that recently began using AI to help save the species.  Jeremy Dertien is a conservation biologist with Tigers United and a Ph.D. candidate in wildlife biology and conservation planning at Clemson University.  He spoke with NVIDIA AI Podcast host Noah Kravitz about a project deploying AI-equipped cameras to monitor poaching in central India, where more than 70 percent of the remaining tiger populations reside.   https://blogs.nvidia.com/blog/2021/11/18/jeremy-dertien-tigers-united/]]></description><guid isPermaLink="false">tag:soundcloud,2010:tracks/1162090666</guid><pubDate>Wed, 17 Nov 2021 00:00:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/52683412/1162090666_theaipodcast_ai_jeremy_dertien.mp3" length="30174980" type="audio/mpeg"/><itunes:author>Mukesh</itunes:author><itunes:subtitle>Fewer than 4,000 tigers remain worldwide, according to Tigers United, a university consortium that recently began using AI to help save the species.  Jeremy Dertien is a conservation biologist with Tigers United and a Ph.D. candidate in wildlife...</itunes:subtitle><itunes:summary><![CDATA[Fewer than 4,000 tigers remain worldwide, according to Tigers United, a university consortium that recently began using AI to help save the species.  Jeremy Dertien is a conservation biologist with Tigers United and a Ph.D. candidate in wildlife biology and conservation planning at Clemson University.  He spoke with NVIDIA AI Podcast host Noah Kravitz about a project deploying AI-equipped cameras to monitor poaching in central India, where more than 70 percent of the remaining tiger populations reside.   https://blogs.nvidia.com/blog/2021/11/18/jeremy-dertien-tigers-united/]]></itunes:summary><itunes:duration>1886</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/cc68e02f5b5f55d66706e9e4770c2181.jpg"/><itunes:episodeType>full</itunes:episodeType></item></channel></rss>
