Using AI in experimental physics

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The discussion centers on a presentation from a graduate school about the application of AI in analyzing high-energy scattering data in fundamental physics. Participants express interest in the outcomes of the talk, inquiring about insights gained and the overall quality of the presentation. One user missed the event due to a scheduling conflict and is seeking information from others who attended. There are requests for summaries or recordings of the talk to catch up on the content. The conversation highlights the growing intersection of AI and experimental physics.
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Here's an upcoming presentation from the grad school I attended about applying AI to fundamental physics, namely, analyzing high-energy scattering data:
Duarte talk.webp

(https://universitydevelopment.cmail20.com/t/d-e-gamhk-hliyjihltk-u/)
 
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How was the talk?

How did they do this and what did they learn?
 
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jedishrfu said:
How was the talk?
Alas, I missed it due to a scheduling conflict. Did anyone else hop on the Zoom meeting?
 
Bummer.

Did they post any summaries of the talks?

Or a recording of the talk?
 
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LLMs and AIs have a bad reputation at PF, and I share this opinion. I have seen too much nonsense they produced, and too many "independent researchers" who weren't so independent after all, since they used them. And then there is a simple question: If we had to check their results anyway, why would we use them in the first place? In fact, their use is forbidden by the rules. I tend to interpret the reason for this rule because nobody wants to talk to a machine via PF. Those who want to can...

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