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VERSION:2.0
PRODID:-//AllConf//Events//RU
CALSCALE:GREGORIAN
METHOD:PUBLISH
BEGIN:VEVENT
UID:7927eeef-9f74-406b-a2f5-32e18fa1122f@world-conf
DTSTAMP:20261108T000538Z
LAST-MODIFIED:20261026T170323Z
SEQUENCE:0
DTSTART;VALUE=DATE:20261213
DTEND;VALUE=DATE:20261214
SUMMARY:AI for Autonomous Experimental Science: From Instrument Design & Op
 eration to Scientific Discovery @ IEEE BigData 2026
LOCATION:IEEE BigData 2026 Conference\, Phoenix\, United States
URL:http://localhost:8080/en/events/ai-for-autonomous-experimental-science-
 from-instrument-desig-2026-12/
DESCRIPTION:An offline workshop held as part of IEEE BigData 2026 in Phoeni
 x\, focused on how AI can be applied to experiment design and operation\, 
 to automating laboratory instrumentation and autonomous labs\, and to enab
 ling scientific discovery.\n\nOfficial website: https://ai4autosci.github.
 io/2026\nCFP deadline 2026-11-01: https://ai4autosci.github.io/2026\n\nSou
 rces:\n- ML-news (Google Groups) — CFP\, воркшопы и школы:
  https://groups.google.com/g/ml-news/c/IctBH5V5jyM\n\nhttp://localhost:808
 0/en/events/ai-for-autonomous-experimental-science-from-instrument-desig-2
 026-12/
STATUS:CONFIRMED
CATEGORIES:ai,data,design,product,science
BEGIN:VALARM
ACTION:DISPLAY
DESCRIPTION:AI for Autonomous Experimental Science: From Instrument Design 
 & Operation to Scientific Discovery @ IEEE BigData 2026
TRIGGER:-PT1440M
END:VALARM
END:VEVENT
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