BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//CERN//INDICO//EN
BEGIN:VEVENT
SUMMARY:Dedicated AI/ML Accelerator Test Facility
DTSTART:20260715T153000Z
DTEND:20260718T010000Z
DTSTAMP:20260821T165900Z
UID:indico-event-10526@indico.slac.stanford.edu
CONTACT:facet_ii_ai@slac.stanford.edu
DESCRIPTION:Speakers: Brendan O'Shea (SLAC)\, Auralee Edelen (SLAC)\n\nReg
 istration is free. Hybrid will be available.\nThere is strong and growing 
 interest across the accelerator and AI/ML community in an accelerator faci
 lity purpose-built and dedicated to AI/ML testing and operations\, that co
 uld be called an AI Test Facility (AITF).\n \nThe impact of AI/ML on acce
 lerator-based science has been well documented in numerous community repor
 ts in recent years. Yet a gap remains: no document has articulated what wo
 uld be required to realize a fully AI/ML-integrated accelerator facility. 
 What does the control system architecture look like? What computing infras
 tructure\, both local and HPC\, is needed? How should data acquisition\, m
 etadata tagging\, and system configurability be designed? What types of ac
 cess best serve the diverse communities that would use such a facility? Fu
 rthermore\, accelerators are among the most complex engineered systems in 
 science\, making them an ideal environment for implementing AI/ML at scale
  and advanced algorithm testing.\n \nWe are also interested in examining 
 the needs of fusion systems and any potential overlap with the needs of ac
 celerators.\n \nWith such a broad range of topics to cover\, the input ne
 eded to design a successful AITF extends to a wide variety of important st
 akeholders. A successful AITF will draw on the expertise of operations sta
 ff\, accelerator physicists\, data/computing and control systems infrastru
 cture experts\, facility users and the broader scientific community\, acad
 emic researchers in AI/ML\, robotics\, controls\, and related fields.\n \
 nThe time is right to develop a public-facing white paper that articulates
  the role\, need\, and requirements for a dedicated AI/ML test facility. T
 he goal of this workshop is to produce a document that the broad community
  can endorse. A document that will serve as a reference and roadmap for th
 e accelerator community at large.\nSessions:\nOperation of scientific syst
 ems: Accelerators and Tokamaks\nOperation of scientific systems: User Chal
 lenges and Needs\nAI/ML Applications: AI/ML and Accelerators\nArtificial I
 ntelligence and Machine Learning: Complex Systems\nImportant dates \n\n\n
 \n\n\n\n\n\n\nApril 14\, 2026\nRegistration Opens\n\n\nJuly 15/16/17\, 202
 6\nWorkshop\n\n\n\n\n\n\n\n\n\n\n\nhttps://indico.slac.stanford.edu/event/
 10526/
LOCATION:48/1-112A/B/C/D - Redwood A/B/C/D (SLAC)
URL:https://indico.slac.stanford.edu/event/10526/
END:VEVENT
END:VCALENDAR