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How Deep Learning Can Accelerate the Quest for Cheap, Clean Fusion Energy - Ep. 55

How Deep Learning Can Accelerate the Quest for Cheap, Clean Fusion Energy - Ep. 55

FromThe AI Podcast


How Deep Learning Can Accelerate the Quest for Cheap, Clean Fusion Energy - Ep. 55

FromThe AI Podcast

ratings:
Length:
27 minutes
Released:
Apr 25, 2018
Format:
Podcast episode

Description

Clean, cheap fusion energy would change everything for the better. Our next guest, William Tang, has spent a career at the forefront of that field, currently as principal research physicist at the Princeton Plasma Physics Laboratory. He’s also one of the world’s foremost experts on how the science of fusion energy, and high-performance computing intersect. Now, he sees new tools — deep learning and artificial intelligence — being put to work to enable big-data-driven discovery in key scientific endeavors, such a the quest to deliver Fusion energy.
Released:
Apr 25, 2018
Format:
Podcast episode

Titles in the series (100)

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. So whether you’re contending with challenges in marketing or mathematics, astrophysics or paleo history or just trying to find an automated way to sort out your kid’s growing Lego pile, listen in and get inspired.