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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Thread 'ChatGPT Examples, Good and Bad'

Thread 'ChatGPT Examples, Good and Bad'

I've been experimenting with ChatGPT. Some results are good, some very very bad. I think examples can help expose the properties of this AI. Maybe you can post some of your favorite examples and tell us what they reveal about the properties of this AI. (I had problems with copy/paste of text and formatting, so I'm posting my examples as screen shots. That is a promising start. :smile: But then I provided values V=1, R1=1, R2=2, R3=3 and asked for the value of I. At first, it said...
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