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SUMMARY:Transforming Particle Physics with AI - Professor Tilman Plehn - H
 eidelberg University
DTSTART:20250312T160000Z
DTEND:20250312T170000Z
UID:TALK224389@talks.cam.ac.uk
CONTACT:Amanda Stagg
DESCRIPTION:LHC as one of the most data-intensive scientific endeavors pro
 vides the perfect link between fundamental physics research and modern dat
 a science. As machine learning is transforming our lives\, literally\, no 
 aspect of LHC physics is left untouched. This starts with identifying data
  for classic or optimal analyses and extends to anomaly searches and power
 ful simulations based on perturbative quantum field theory. I will give a 
 few examples for the transformative power of modern machine learning in pa
 rticle physics\, show how our understanding of uncertainties adds new flav
 ors to machine learning\, and explain how generative neural networks allow
  us to realize our dream of making LHC data available to a broad scientifi
 c community.
LOCATION:MR3
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