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SUMMARY:Embracing the Unexpected: AI Methods for Surprise Discoveries in P
 article Physics
DTSTART:20260120T190000Z
DTEND:20260120T200000Z
DTSTAMP:20260915T025900Z
UID:indico-event-10299@indico.slac.stanford.edu
DESCRIPTION:Speakers: Oz Amram (Fermilab)\n\nFundamental physics stands at
  a crossroads: without clear targets for the next breakthrough\, we must c
 ast our net wide and let the data guide us. However\, modern experiments p
 roduce such vast quantities of highly complex information that traditional
  analysis methods rely on layer upon layer of assumptions to tame it. This
  greatly limits our ability to discover things we haven't anticipated. Mod
 ern AI methods\, which are naturally equipped to work with data in its ful
 l native complexity\, can offer a new path forward. In this talk I will pr
 esent how methods such as anomaly detection\, generative models and founda
 tion models are being deployed in particle physics and discuss how they ma
 y rekindle the possibility of genuine surprise.\n \n\n\n\n\n\n\n\n\n\n\nh
 ttps://stanford.zoom.us/j/98973156241?pwd=cEU5RFdlVXoyc0JTeTlDMkozKzQ5UT09
 \n\n\n\n\n\n\n\n\n \n\n\n\n\n\n\n\n\n \n\n\n\nhttps://indico.slac.stanfo
 rd.edu/event/10299/
LOCATION:48/1-112A/B - Redwood A/B (SLAC)
URL:https://indico.slac.stanford.edu/event/10299/
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