Skip to content
TrackPodcasts
technologyApr 25, 201827:24pending

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

About this episode

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.

Get every episode summarized

Each time NVIDIA AI Podcast publishes, we email you a written briefing from the transcript — the topics, who appeared, and any specific claims, with the ad reads skipped.

Email me new episodes

Free for 3 shows. No card needed.

No transcript yet

This episode has not been transcribed. Request it and it moves to the front of the queue.

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

NVIDIA AI Podcast

0:00
27:24

More episodes

More from NVIDIA AI Podcast

View all episodes →