NVIDIA AI Podcast

Latest Episodes:

Ep. 16: Growth Opportunity - How AI Puts Lettuce in Your Salad Bowl Apr 04, 2017

Show notes

If you're looking for the impact of deep learning, look to the end of your fork. We spoke with Blue River Technology co-founder and CTO Lee Redden about how the startup put deep learning to work tending 10% of the lettuce produced in the United States, and how deep learning promises to unleash a new agricultural revolution.

Ep. 15: How AI Beat the Pros at Texas Hold'em, and Why It Matters Mar 25, 2017

Show notes

We spoke with Michael Bowling, a professor at the University of Alberta whose team of researchers created a GPU-trained AI that has defeated professional poker players at heads-up no-limit Texas hold’em. The work promises to yield applications in the real world, where — unlike games such as Go and Chess — we often have to make decisions based on incomplete information.

Ep. 14: AI Takes Wing – Deep Learning Hears Once Extinct Bird Mar 20, 2017

Show notes

We speak with Matthew McKown, CEO of Conservation Metrics, about how deep learning techniques helped rediscover a bird that was once thought extinct, and how GPU-powered AI now helps biologists crunch vast quantities of data to spot trends that would have been impossible to detect before.

Ep. 13: How AI Can Improve Brain Tumor Treatment Mar 16, 2017

Show notes

We talk with Dr. Bradley Erickson, a Mayo Clinic neuroradiologist, who uses AI to predict tumor genomics using MRIs. His method could give doctors easier access to invaluable genetic information. Information that could predict how quickly a tumor will progress, and if it will respond to specific drugs and other treatments.

Ep. 12: How AI Can Improve the Diagnosis and Treatment of Diseases Mar 07, 2017

Show notes

Medicine — particularly radiology and pathology — have become more data-driven. The Massachusetts General Hospital Center for Clinical Data Science — led by Mark Michalski — promises to accelerate that, using AI technologies to spot patterns that can improve the detection, diagnosis and treatment of diseases.

Ep. 11: How a Computer Scientist Uses AI to Read Lost Literature Feb 28, 2017

Show notes

University of Kentucky Computer Science Professor Brent Seales caused a worldwide sensation when he and his team were able to use non-invasive scans to unlock writings on the ancient En-Gedi scroll to reveal the earliest copy of a Pentateuchal book — Leviticus — ever found in a Holy Ark. Now he’s turning his expertise to more ancient texts, this time from the lost Roman city of Herculaneum.

Ep. 10: Turning AI Loose on the Track with Roborace Feb 22, 2017

Show notes

If you want to bring autonomous vehicles to the mainstream, fast, first you’ve got to go fast. We spoke with Jonathan Cooke, chief marketing officer of Roborace, the first ever driverless electric racing championship, who wants to turn autonomous racing into a spectator sport that will spark the creation of more powerful, capable automotive AI.

Ep. 9: Winning the Cybersecurity Cat and Mouse Game with AI Feb 08, 2017

Show notes

Cybersecurity is a cat-and-mouse game where the mouse always has long had the upper hand because it’s so easy for new malware to go undetected. Dr. Eli David, an expert in computational intelligence and CTO of Deep Instinct, wants to use AI to change that, bringing the GPU-powered deep learning techniques underpinning modern speech and image recognition to the vexing world of cybersecurity.

Ep. 8: Better Beer Through AI Jan 31, 2017

Show notes

Whether brewing hearty stouts or crisp lagers, flavor is a fickle thing. Not only is it hard to create consistently good brew, as humans our ability to identify - and remember - flavors is flawed. Yet brands worth billions rely on creating consistent flavors. We talk to Jason Cohen, founder of Gastrograph, who is using AI to help businesses that create beer, chocolate, wine, coffee, and spirits better understand flavor.

Ep. 7: How Humans Bias AI - Narrative Science Chief Scientist Kris Hammond Jan 22, 2017

Show notes

It’s easy to think of AI as cold, unbiased, objective. Not quite, suggests Narrative Science Chief Scientist Kris Hammond explains, because we never know when AI will repeat our biases back to us.

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