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SUMMARY:AI in Particle and Nuclear Physics - and Beyond
DTSTART:20250318T193000Z
DTEND:20250318T213000Z
DTSTAMP:20260420T034600Z
UID:indico-event-27185@indico.bnl.gov
DESCRIPTION:Speakers: Ivan Kisel (FIAS\,  Univ. of Frankfurt\, Germany)\n\
 nArtificial Intelligence (AI) is transforming particle and nuclear physics
  by providing powerful tools for handling complex data. This colloquium wi
 ll highlight recent advances in the application of neural networks and cel
 lular automata to track finding\, particle identification\, and the search
  for short-lived particles. We will also explore how AI helps to classify 
 heavy-ion collisions and identify events involving quark-gluon plasma form
 ation.  \n \nThe problem of interpreting AI models as black boxes and th
 e ongoing efforts to make them explainable will be addressed. Finally\, we
  will relate these applications to the broader role of AI in science and b
 usiness\, and to the 2024 Nobel Prize in Physics awarded to Geoffrey Hinto
 n and John J. Hopfield for their fundamental contributions to neural netwo
 rks\, which are now central to AI-driven research in physics and beyond. 
  \n \n\nZoom:https://bnl.zoomgov.com/j/1617489674?pwd=aTmhSZ1ncKD7wWlqQ2
 iHfoTniiAlOX.1\n \n\nMeeting ID: 161 748 9674\nPasscode: \n\n\n\n\n\n\n\
 n\n893268\n\n\n\n\n\n\n\n\n\n\n\nhttps://indico.bnl.gov/event/27185/
URL:https://indico.bnl.gov/event/27185/
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