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VERSION:2.0
CALSCALE:GREGORIAN
PRODID:UW-Madison-Physics-Events
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SEQUENCE:1
UID:UW-Physics-Event-9112
DTSTART:20250217T220000Z
DTEND:20250217T230000Z
DTSTAMP:20260413T203737Z
LAST-MODIFIED:20250207T230712Z
LOCATION:5280 CH & https://uwmadison.zoom.us/j/93056807183?pwd=bmRBTnF
 pQTZSYk1QSUVLb3BBY1M0QT09
SUMMARY:Future particle colliders: promise and challenges and how AI/M
 L can help\, Physics Department Colloquium\, Prof. Ken Bloom\, Univers
 ity of Nebraska - Lincoln
DESCRIPTION:Particle colliders allow us to explore the smallest possib
 le distance scales and learn essential truths about the origin and fat
 e of the universe.  The Large Hadron Collider\, the premier collider o
 f our time\, has changed our understanding of particle physics\, and s
 et up an exciting future program at the High-Luminosity LHC and at mor
 e advanced colliders in the decades ahead.  However\, experiments at s
 uch colliders present many challenges\, both in their operations and i
 n the subsequent analysis of the large volumes of complex data that th
 ey produce.  I’ll discuss the physics program that we will carry out
 \, and how machine learning and artificial intelligence will help us a
 ddress some of the challenges.<br>\n
URL:https://www.physics.wisc.edu/events/?id=9112
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