NVIDIA AI Podcast

NVIDIA
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May 27, 2020 • 22min

NVIDIA’s Jonah Alben Talks AI - Ep. 120

Imagine building an engine with 54 billion parts. Now imagine each piece is the size of a gnat’s eyelash. That gives you some idea of the scale Jonah Alben works at. Jonah is the co-leader of GPU engineering at Nvidia. The engines he builds are GPUs. Without these chips your favorite computer games and special-effects movies would look pretty lame. GPUs also power scientific simulations of everything from a Mars lander to a protein spike on the coronavirus… and, oh yes, these days they do much of the heavy lifting for the latest and greatest form of computing: AI.
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Apr 30, 2020 • 29min

NVIDIA’s Keith Strier Talks AI Nations - Ep. 119

As NVIDIA’s vice president of worldwide AI initiatives, Keith Strier is thinking on a global scale. He leads an initiative called AI Nations, a worldwide program that helps government leaders and stakeholders develop plans to implement AI to advance national priorities and drive economic growth. Strier spoke to AI Podcast host Noah Kravitz about AI Nations, and how NVIDIA helps countries harness all the capabilities of AI — from enhancing their local startup ecosystems to developing autonomous public transportation systems.
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Apr 22, 2020 • 29min

Lenovo's Mike Leach on the Role of the Workstation in Modern AI - Ep. 118

Whether you're using the latest generation of AI enabled mobile apps or robust business systems powered on banks of powerful servers, chances are your technology was built, first, on a workstation. We spoke with Lenovo’s Mike Leach about how these workhorses are adapting to support a plethora of new kinds of AI applications.
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Apr 21, 2020 • 23min

Ford’s Nikita Jaipuria and Rohan Bhasin on Generating Synthetic Data - Ep. 117

Autonomous vehicles require a massive amount of data and computing power. Teaching a vehicle to see what’s on the road in front of it is a big part of the puzzle. Our guests today, Ford’s Nikita Jaipuria and Rohan Bhasin, are using Generative Adversarial Networks to help autonomous vehicle systems see as well in rain and snowy conditions as they do when it’s clear out.
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Apr 16, 2020 • 26min

Finding Trash in Sensitive Waterways with AI - Ep. 116

Cleaning up our oceans, rivers, and waterways have become a major environmental issue. Leaders in the field are now looking to begin harnessing modern AI and machine learning techniques to help tackle this immense challenge. We spoke with the San Francisco Estuary Institute’s Lorenzo Flores on using machine learning to find trash in environmentally sensitive waterways.
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Apr 14, 2020 • 24min

MIT’s Jonathan Frankle on “The Lottery Hypothesis” - Ep. 115

We spoke with Jonathan Frankle, a PhD student at MIT and coauthor of a seminal paper outlining a technique, known as the “The Lottery Ticket,” hypothesis that promises to help advance our understanding of why neural networks, and deep learning, works so well.
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Apr 9, 2020 • 19min

Credit Check: Capital One’s Kyle Nicholson on Modern Machine Learning in Finance - Ep. 114

We spoke with Capital One Senior Software Engineer Kyle Nicholson on how modern machine learning techniques have become a key tool for financial and credit analysis.
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Apr 3, 2020 • 47min

Demystifying AI with NVIDIA’s Will Ramey - Ep. 113

We brought back one of NVIDIA’s best explainers, Will Ramey, to provide an introduction to today’s AI boom and the key concepts behind it. Ramey, senior director and global head of developer programs at NVIDIA, led a webinar, "Deep Learning Demystified," as part of this year's GTC Digital online conference. https://developer.nvidia.com/gtc/2020/video/s22555
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Apr 3, 2020 • 37min

Speed of Light: SLAC’s Ryan Coffee Talks Ultrafast Science - Ep. 112

We spoke with a particle physicist Ryan Coffee, senior staff scientist at the SLAC National Accelerator Laboratory on how he — and others in his field — are putting deep learning to work. We include questions from friends, family and acquaintances in a wide-ranging conversation complementing a deep-dive session led by Ryan Coffee as part of GTC Digital.
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Mar 28, 2020 • 34min

Stanford's Margot Gerritsen on Data Science and Women in Tech - Ep. 111

On this episode of the NVIDIA AI Podcast, we interview Stanford Professor Margot Gerritsen about what’s next in data science, the growing role of women in data science, and how data science intersects with modern AI. For more, tune into Professor Gerritsen's Women in Data Science podcast https://www.widsconference.org/podcast.html

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