AI Researcher Explains Deep Learning's Collision Course with Particle Physics

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 AI and the NVIDIA DGX A100 to understand the fundamental rules governing particle decay.

The AI Podcast AI Researcher James Kahn Explains Deep Learning's Collision Course with Particle Physics Ep. 143

Kahn spoke with NVIDIA 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.

Key Points From This Episode:

The nature of particle physics research, which requires numerous simulations and constant adjustments, requires massive AI horsepower. Kahn's team used the DGX A100 to reduce the time it takes to optimize simulations from a week to roughly a day.

The majority of Kahn's work is global - at Helmholtz AI, he collaborates with researchers from Beijing to Tel Aviv, with projects located anywhere from the Southern Ocean to Spain. And at the Belle II experiment, Kahn is one of more than 1,000 researchers from 26 countries.

Tweetables: If you're trying to simulate all the laws of physics, that's a lot of simulations that's where these big, powerful machines come into play. - James Kahn [6:02]

AI is seeping into every aspect of research. - James Kahn [16:37]

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