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SUMMARY:The "Information Laboratory" - AI-Native Experimental Particle Phy
 sics in the 21st Century
DTSTART:20260401T103000Z
DTEND:20260401T113000Z
DTSTAMP:20260408T180500Z
UID:indico-event-1875@indico.stfc.ac.uk
CONTACT:brij.jashal@stfc.ac.uk
DESCRIPTION:Speakers: Peter Elmer (Princeton University)\n\nAbstract: Ove
 r the past 80 years\, progress in experimental nuclear and particle physic
 s has relied on a succession of ever larger facilities\, in particular par
 ticle accelerators and detectors. These engines of discovery are hosted in
  laboratories such as Fermilab\, CERN\, KEK and others.Information technol
 ogy has played an increasingly central role in these facilities. Systems f
 or data acquisition\, processing\, analysis\, simulation\, and modeling ar
 e essential for producing physics results. Technologies such as the World 
 Wide Web (WWW) emerged from this environment and helped usher in today’s
  highly connected society. In parallel\, they gave rise to what may be cal
 led the global “Information Laboratory”: data-rich\, software-driven\,
  networked\, open\, and highly collaborative. Modern physicists\, working 
 from their screens\, are now key research staff in this Information Labora
 tory.Emerging AI technologies will bind the Information Laboratory even mo
 re closely to the physical laboratories\, turning the world’s largest ph
 ysics experiments into continuously learning discovery engines. An emergin
 g community vision is that of “AI-native” experimental particle physic
 s\, embedding AI across detector design\, intelligent sensing\, autonomous
  operations\, and analysis at exabyte scale. With the High-Luminosity Larg
 e Hadron Collider\, Deep Underground Neutrino Experiment\, and Electron-Io
 n Collider as near-term proving grounds\, and future facilities such as th
 e Future Circular Collider on the horizon\, this talk offers a timely look
  at how AI can accelerate discovery and reshape the scientific lifecycle.A
 bout Speaker: Peter Elmer is a Senior Research Physicist at Princeton Uni
 versity and a leading architect of modern software and computing for exper
 imental high-energy physics. A long-time leader in CMS computing\, he help
 ed shape core systems that enabled precision measurements and major discov
 eries at the LHC. He is Executive Director and Principal Investigator of I
 RIS-HEP\, widely recognized as the flagship U.S. software umbrella project
  for particle physics\, driving shared R&D\, production software\, and wor
 kforce development across labs and universities. Elmer has been instrument
 al in helping coordinate international community roadmaps leading to creat
 ion of HEP Software Foundation (HSF)\, common software strategy\, and cros
 s-experiment collaboration that now underpin the AI-enabled future of the 
 field.\n\nhttps://indico.stfc.ac.uk/event/1875/
LOCATION:R22 Pickavance Lecture Theatre (RAL)
URL:https://indico.stfc.ac.uk/event/1875/
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