174 episodes

AI has been described as “Thor’s Hammer“ and “the new electricity.” But it’s also a bit of a mystery – even to those who know it best. We’ll connect with some of the world’s leading AI experts to explain how it works, how it’s evolving, and how it intersects with every facet of human endeavor. This podcast is produced by NVIDIA, the AI computing company. Multiple episodes are released every month.

The AI Podcast NVIDIA

    • Technology
    • 4.5 • 196 Ratings

AI has been described as “Thor’s Hammer“ and “the new electricity.” But it’s also a bit of a mystery – even to those who know it best. We’ll connect with some of the world’s leading AI experts to explain how it works, how it’s evolving, and how it intersects with every facet of human endeavor. This podcast is produced by NVIDIA, the AI computing company. Multiple episodes are released every month.

    NVIDIA’s Clément Farabet on Orchestrating AI Training for Autonomous Vehicles - Ep. 175

    NVIDIA’s Clément Farabet on Orchestrating AI Training for Autonomous Vehicles - Ep. 175

    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.

    • 29 min
    Santiago Valderrama on Getting Smarter on Machine Learning, One Problem at a Time - Ep. 173

    Santiago Valderrama on Getting Smarter on Machine Learning, One Problem at a Time - Ep. 173

    Want to learn about AI and machine learning? There are plenty of resources out there to help — blogs, podcasts, YouTube tutorials — perhaps too many. Machine learning engineer Santiago Valdarrama has taken a far more focused approach to helping us all get smarter about the field. He’s created a following by posing one machine learning question every day on his website bnomial.com. Think of it as Wordle for those who want to learn more about machine learning.

    • 27 min
    Lucid Motors’ Mike Bell on Software-Defined Innovation - Ep. 174

    Lucid Motors’ Mike Bell on Software-Defined Innovation - Ep. 174

    AI and electric vehicle technology breakthroughs are transforming the automotive industry. These developments pave the way for new innovators, attracting technical prowess and design philosophies from Silicon Valley.

    Mike Bell, senior vice president of digital at Lucid Motors, sees continuous innovation coupled with over-the-air updates as key to designing sustainable, award-winning intelligent vehicles that provide seamless automated driving experiences.

    NVIDIA’s Katie Burke Washabaugh spoke with Bell on the latest AI Podcast episode, covering what it takes to stay ahead in the software-defined vehicle space.

    Bell touched on future technology and its implications for the mass adoption of sustainable, AI-powered EVs — as well as what Lucid’s Silicon Valley roots bring to the intersection of innovation and transportation.

    https://blogs.nvidia.com/blog/2022/07/06/lucid-motors-podcast/

    • 18 min
    Artem Cherkasov and Olexandr Isayev on Democratizing Drug Discovery with Deep Learning - Ep. 172

    Artem Cherkasov and Olexandr Isayev on Democratizing Drug Discovery with Deep Learning - Ep. 172

    It may seem intuitive that AI and deep learning can speed up workflows — including novel drug discovery, a typically years-long and several-billion-dollar endeavor.

    But professors Artem Cherkasov and Olexandr Isayev were surprised to find that no recent academic papers provided a comprehensive, global research review of how deep learning and GPU-accelerated computing impact drug discovery.

    In March, they published a paper in Nature to fill this gap, presenting an up-to-date review of the state of the art for GPU-accelerated drug discovery techniques.

    Cherkasov, a professor in the department of urologic sciences at the University of British Columbia, and Isayev, an assistant professor of chemistry at Carnegie Mellon University, join NVIDIA AI Podcast host Noah Kravitz this week to discuss how GPUs can help democratize drug discovery.

    In addition, the guests cover their inspiration and process for writing the paper, talk about NVIDIA technologies that are transforming the role of AI in drug discovery, and give tips for adopting new approaches to research.

    • 28 min
    Astrophysicist Brant Robertson Using AI to Glean Insights from James Webb Space Telescope - Ep. 171

    Astrophysicist Brant Robertson Using AI to Glean Insights from James Webb Space Telescope - Ep. 171

    On July 12 NASA will release the first science data – including the first science-quality images - from the $10 billion James Webb Space Telescope. The images are sure to be stunning, and guaranteed to make headlines around the world. AI Podcast Host Noah Kravitz spoke with UC Santa Cruz's Brant Robertson, a professor of astrophysics and astronomy, about the data science behind one of the biggest science stories of our time.

    https://blogs.nvidia.com/blog/2022/06/08/deep-learning-james-webb-space-telescope/

    • 35 min
    Hume AI’s Alan Cowen on Building AIs With a Devotion to Emotion - Ep. 170

    Hume AI’s Alan Cowen on Building AIs With a Devotion to Emotion - Ep. 170

    Can machines experience emotions? They might, according to Hume AI, an AI research lab and technology company that aims to “ensure artificial intelligence is built to serve human goals and emotional well-being.”

    So how can AI genuinely understand how we are feeling, and respond appropriately?

    On this episode of NVIDIA’s AI Podcast, host Noah Kravitz spoke with Alan Cowen, founder of Hume AI and The Hume Initiative. Cowen — a former researcher at Google who holds a Ph.D. in Psychology from UC Berkeley — talks about the latest work at the intersection of computing and human emotion.

    • 47 min

Customer Reviews

4.5 out of 5
196 Ratings

196 Ratings

Henchik_ ,

Very enjoyable listening experience

Listening to my first podcast was very informative and quickly opened my eyes to the fascinating world of machine learning and AI. I highly recommend giving it a try!

LisaIsHereForIt ,

Noah's got the goods!💥

It’s obvious Noah puts extraordinary effort in covering truly unique topics in AI and ML --finding guests that are not only authentic, but are pushing boundaries in the ways they're using the technology. The insights Noah and his guests bring to bear are mind-blowing. LOVE this podcast.🙌🏻🙌🏻🙌🏻

ASobering ,

Such a wealth of knowledge! 🧠

The AI Podcast has quickly become a favorite in my feed! I'm consistently impressed by the engaging conversations and insightful content.

Noah and his incredibly knowledgeable guests shed light on all of the amazing applications for AI and ML in our world today, and I come away from each episode having learned something new.

Loving every minute, Noah - keep up the great work!

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