NVIDIA AI Podcast

Latest Episodes:

Ford’s Nikita Jaipuria and Rohan Bhasin on Generating Synthetic Data - Ep. 117 Apr 21, 2020

Show notes

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.

Finding Trash in Sensitive Waterways with AI - Ep. 116 Apr 16, 2020

Show notes

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.

MIT’s Jonathan Frankle on “The Lottery Hypothesis” - Ep. 115 Apr 14, 2020

Show notes

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.

Credit Check: Capital One’s Kyle Nicholson on Modern Machine Learning in Finance - Ep. 114 Apr 09, 2020

Show notes

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.

Speed of Light: SLAC’s Ryan Coffee Talks Ultrafast Science - Ep. 112 Apr 03, 2020

Show notes

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.

Demystifying AI with NVIDIA’s Will Ramey - Ep. 113 Apr 03, 2020

Show notes

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

Stanford's Margot Gerritsen on Data Science and Women in Tech - Ep. 111 Mar 28, 2020

Show notes

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

Keeping an Eye on AI: Building Ethical Technology at Salesforce - Ep. 110 Mar 24, 2020

Show notes

Kathy Baxter, the architect of ethical AI practice at Salesforce, is helping her team and clients create more responsible technology. To do so, she supports employee education, the inclusion of safeguards in Salesforce technology, and collaboration with other companies to improve ethical AI across industries.

Nanotronics Brings Deep Learning to Precision Manufacturing - Ep. 109 Feb 17, 2020

Show notes

Matthew Putman, this week’s guest on the AI Podcast, knows that the devil is in the details. That’s why he’s the co-founder and CEO of Nanotronics, a Brooklyn-based company providing precision manufacturing enhanced by AI, automation and 3D imaging.

NVIDIA’s Neda Cvijetic Explains the Science Behind Self-Driving Cars - Ep. 108 Feb 04, 2020

Show notes

What John Madden was to pro football, Neda Cvijetic is to autonomous vehicles. No one’s better at explaining the action, in real time, than Cvijetic. Cvijetic, senior manager of autonomous vehicles at NVIDIA, drives our NVIDIA DRIVE Labs series of videos and blogs breaking down the science behind autonomous vehicles.

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