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SUMMARY:Artificial Intelligence for the Electron Ion Collider (AI4EIC) 202
 6
DTSTART:20261215T140000Z
DTEND:20261218T230000Z
DTSTAMP:20261112T225800Z
UID:indico-event-33532@indico.bnl.gov
CONTACT:cynthia.nunez@duke.edu\;support@ai4eic.org
DESCRIPTION:The 5th AI4EIC Workshop will take place at Duke University\, L
 ove Auditorium (LSRC B101)\, in Durham\, North Carolina from December 15-1
 8\, 2026. The event will feature in-person participation\, with live strea
 ming available for remote attendees.\nJoin on Zoom: (to appear)\nInstructi
 ons to join the WiFi at Duke: Participants may connect via "DukeVisitor"\;
  Eduroam is also supported. \nLive Notes of the workshop can be found at 
 this link (to appear)\nThe previous four AI4EIC workshops fostered meaning
 ful discussions on the full range of AI/ML applications for the EIC—incl
 uding accelerator and detector design\, theory\, and analysis—resulting 
 in published proceedings and a community paper (https://ai4eic.org).\nIn t
 his workshop\, we will delve deeper into the active and emerging applicati
 ons of AI/ML within the EIC community\, with a focus on ongoing efforts re
 lated to the ePIC experiment and beyond. Topics will include AI/ML for cal
 ibration\, monitoring\, experimental control\, accelerators\, data analysi
 s and theory\, data science\, production\, and distributed ML. \nScientif
 ic Organizing Committee\n\nAbhay Deshpande\, Stony Brook\, BNL\nAnselm Vos
 sen\, Duke\nBen Nachman\, Stanford \nCris Fanelli\, W&M\nDaniel Lersch\, 
 JLab\nDavid Lawrence\, JLab\nDiana McSpadden\, JLab\nLin Meifeng\, BNL\nMa
 rco Battaglieri\, INFN\nMike Williams\, MIT\nTanja Horn\, CUA\nTorre Wenau
 s\, BNL \n\n \n\n\n\n\nhttps://indico.bnl.gov/event/33532/
IMAGE;VALUE=URI:https://indico.bnl.gov/event/33532/logo-1818463298.png
LOCATION:LSRC B101 Love Auditorium (Duke University)
URL:https://indico.bnl.gov/event/33532/
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