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SUMMARY:Daniel Whiteson (University of California\, Irvine)
DTSTART:20210921T170000Z
DTEND:20210921T180000Z
DTSTAMP:20260423T005747Z
UID:nhetc/16
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/nhetc/16/">L
 earning Particle Physics from Machines</a>\nby Daniel Whiteson (University
  of California\, Irvine) as part of NHETC Seminar\n\n\nAbstract\nRecent ad
 vances in artificial intelligence offer opportunities to disrupt the tradi
 tional strategies for discovery of new particles in high energy collisions
 .  I will describe the new machine-learning techniques\, explain why they 
 are particularly well suited for particle physics\, present selected resul
 ts that demonstrate their new capabilities\, and present a strategy for tr
 anslating their learned strategies into human understanding.    \n\nBio: D
 aniel Whiteson is a professor of experimental particle physics at the Univ
 ersity of California\, Irvine\, and a fellow of the American Physical Soci
 ety. He conducts research using the Large Hadron Collider at CERN.  He rec
 eived his PhD at Berkeley.\n
LOCATION:https://researchseminars.org/talk/nhetc/16/
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