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X-WR-CALNAME:Expecting the Unexpected with AI at Particle Colliders
X-WR-TIMEZONE:Pacific Time (US & Canada)
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DTSTAMP:20260813T234811Z
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DTSTART:20241206T030000Z
DTEND:20241206T040000Z
DESCRIPTION:Register to watch in person in the Kavli Auditorium\, or watch 
 the lecture live on our YouTube page. \n\nIn particle physics\, we search 
 for new elementary particles that signal extensions of the fundamental int
 eractions of nature. Experiments at the CERN Large Hadron Collider (LHC) p
 roduce massive datasets\, which physicists scour for evidence of hypotheti
 cal particles that have been suggested by theorists.  But it is impossible
  to predict exactly what nature has in store. Can we discover something ne
 w without knowing in advance what we are looking for?\n\nProgress in data 
 science gives us new ways to mine the datasets from the LHC.  Using artifi
 cial intelligence\, we  can search in a general way for events that are an
 omalous\, signaling behavior outside of our current laws of physics.  Coup
 led with advanced silicon microelectronics\, we can apply AI to scan and s
 ort data in real time\, at the enormous rates at which the LHC collides pr
 otons.  These game-changing technologies will work even more powerfully at
  future particle colliders\, where era-defining discoveries might be aroun
 d every corner.\n\nAbout the Speaker\n\nA New Jersey native\, Julia Gonski
  did her undergraduate studies at Rutgers University and her graduate stud
 ies at Harvard\, receiving her Ph.D. in 2019.  After a postdoctoral fellow
 ship at Columbia University\, Julia joined SLAC in 2023 as a Panofsky Fell
 ow.  Her research focuses on novel approaches to searching for new element
 ary particles in collider datasets\, in particular incorporating machine l
 earning and anomaly detection. She also works on real-time AI/ML with adva
 nced data acquisition systems based on microelectronics. Outside of her re
 search\, Julia is involved in community organizing\, outreach\, and global
  inclusivity for the advanced particle colliders of the future.
GEO:37.419892;-122.205244
LOCATION:SLAC National Accelerator Laboratory\, Kavli Auditorium 
SUMMARY:Expecting the Unexpected with AI at Particle Colliders
URL;VALUE=URI:https://events.stanford.edu/event/expecting-the-unexpected-wi
 th-ai-at-particle-colliders
CATEGORIES:Lecture/Presentation/Talk
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