Ep. 51: Live at GTC - Deep Learning Can Save Lives by Predicting Severe Weather

One of the things that makes the weather so dangerous is that it's so hard to predict. Tornadoes, hail, high winds and flash floods cause billions of dollars worth of property damage, and injure or kill hundreds of people in the United States each year. Knowing when storms may strike can save lives, and property. Our guest is part of a team at the National Center for Atmospheric Research that's doing just that. We spoke with David John Gagne, a postdoctoral fellow at the National Center for Atmospheric Research about his work with deep learning at the GPU Technology Conference in Silicon Valley this week.

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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/