Physics and AI: Separating the Hype from the Reality.
Invited · Invited
Abstract
Some people say that AI is all hype when it comes to physics. They're wrong.
Some people say that AI is no hype when it comes to physics. They're also wrong.
In this talk, I'll use my background -- both as a physicist and as a computer scientist -- to try to describe the actual state of AI as it relates to physics. I'll try to explain where AI can help, and where it can't, and how that's likely to change in the next few years. I'll suggest guidelines for distinguishing hype from non-hype in any specific area, and will also try to explain what my collected observations mean in terms of the impact that AI is likely to have on the trajectories of early-career physicists.
The talk is intended for a general audience.
Some people say that AI is no hype when it comes to physics. They're also wrong.
In this talk, I'll use my background -- both as a physicist and as a computer scientist -- to try to describe the actual state of AI as it relates to physics. I'll try to explain where AI can help, and where it can't, and how that's likely to change in the next few years. I'll suggest guidelines for distinguishing hype from non-hype in any specific area, and will also try to explain what my collected observations mean in terms of the impact that AI is likely to have on the trajectories of early-career physicists.
The talk is intended for a general audience.
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Presenters
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Matthew Ginsberg
- Google DeepMind