For a particle physicist, the world’s biggest questions — how did the universe originate and what’s beyond it — can only be answered with help from the world’s smallest building blocks.

James Kahn, a consultant with German research platform Helmholtz AI and a collaborator on the global Belle II particle physics experiment, uses deep learning to understand the fundamental rules governing particle decay.

Kahn spoke with AI Podcast host Noah Kravitz about the specifics of how AI is accelerating particle physics. 

He also touched on his work at Helmholtz AI. Khan helps researchers in fields spanning medicine to earth sciences apply AI to the problems they’re solving. His wide-ranging career — from particle physicist to computer scientist — shows how AI accelerates every industry.

https://blogs.nvidia.com/blog/2021/05/19/ai-particle-physics/

AI Researcher James Kahn Explains Deep Learning’s Collision Course with Particle Physics - Ep. 143

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/

AI Researcher James Kahn Explains Deep Learning’s Collision Course with Particle Physics - Ep. 143

The AI Podcast