Using AI in experimental physics

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Discussion Overview

The discussion revolves around the application of artificial intelligence (AI) in experimental physics, specifically focusing on analyzing high-energy scattering data. Participants express interest in a recent presentation from a graduate school regarding this topic.

Discussion Character

  • Exploratory, Meta-discussion

Main Points Raised

  • One participant shares a link to an upcoming presentation on applying AI to fundamental physics.
  • Several participants inquire about the content and outcomes of the talk, expressing curiosity about the methods used and the insights gained.
  • There are requests for summaries or recordings of the talk, indicating a desire for more information.

Areas of Agreement / Disagreement

The discussion remains unresolved, with no consensus on the outcomes of the talk or the details of the AI applications discussed.

Contextual Notes

Participants have not provided specific details about the methods or findings from the talk, and there is uncertainty regarding the availability of summaries or recordings.

renormalize
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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?
 
Last edited:

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