One person, one interview, one story. Join us as we explore the impact of AI on our world, one amazing person at a time -- from the wildlife biologist tracking endangered rhinos across the savannah here on Earth to astrophysicists analyzing 10 billion-year-old starlight in distant galaxies to the Walmart data scientist grappling with the hundreds of millions of parameters lurking in the retailer’s supply chain. Every two weeks, we’ll bring you another tale, another 25-minute interview, as we build a real-time oral history of AI that’s already garnered nearly 3.4 million listens and been acclaimed as one of the best AI and machine learning podcasts. Listen in and get inspired. https://blogs.nvidia.com/ai-podcast/
https://blogs.nvidia.com/ai-podcast/
Eine durchschnittliche Folge dieses Podcasts dauert 27m.
Bisher sind 221 Folge(n) erschienen.
Alle zwei Wochen gibt es eine neue Folge dieses Podcasts.
Gesamtlänge aller Episoden: 4 days 8 hours 7 minutes
Ep. 11: How a Computer Scientist Uses AI to Read Lost Literature
University of Kentucky Computer Science Professor…
Ep. 10: Turning AI Loose on the Track with Roborace
If you want to bring autonomous vehicles to the m…
Ep. 9: Winning the Cybersecurity Cat and Mouse Game with AI
Cybersecurity is a cat-and-mouse game where the m…
Ep. 7: How Humans Bias AI - Narrative Science Chief Scientist Kris Hammond
It’s easy to think of AI as cold, unbiased, objec…
Ep. 6: How AI Turns Kiddie Cars Into Autonomous Racers
Take brains, a few hundred bones and a pink Barbi…
Ep. 4: How AI Will Revolutionize Driving — Danny Shapiro, NVIDIA
Autonomous vehicles will need to do much more tha…
Ep. 3: Deep Learning DIY - NVIDIA Engineer Bob Bond, Make: Magazine Executive Editor Mike Senese
Deep learning isn't just for research scientists …
Ep. 2: Where Deep Learning Goes Next - Bryan Catanzaro, NVIDIA Applied Deep Learning Research
Bryan Catanzaro, vice president for applied deep …