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SUMMARY:NGT-WHISE
DTSTART:20260430T120000Z
DTEND:20260430T163000Z
DTSTAMP:20260513T233800Z
UID:indico-event-1677694@indico.cern.ch
CONTACT:ioannis.xiotidis@cern.ch\;maciej.glowacki@cern.ch
DESCRIPTION:This will be the second edition of the NGT Whiteboard Sessions
  (NGT WHISE)\, our discussion-driven initiative designed to strengthen col
 laboration across Work Packages and create space for new ideas at an early
  stage.\nFollowing the strong interest in the first session\, the next NGT
  WHISE will focus on a timely and fast-moving topic:\nTheme: AI Agents\nTh
 is edition will be hands-on\, interactive\, and challenge-based.\nGuiding 
 question:\nCan AI agents act as optimisers of optimisers?\nStarting from a
  real-world machine learning algorithm developed for a physics use case un
 der hardware deployment constraints\, participants will work in groups to 
 prompt and steer AI agents towards the best possible solution.\nIn the spi
 rit of community-driven research\, teams will compete to reach the top of 
 the HEP Bench leaderboard on the NGT Challenges Platform. Only solutions d
 eveloped entirely through AI agent workflows will be eligible.\nAccess to 
 an open-source AI agent framework and language model will be provided duri
 ng the session.\nAs with all WHISE events\, the format will remain lightwe
 ight and discussion-oriented\, with a strong emphasis on experimentation\,
  collaboration\, and exchange of ideas.\nAudience\nThis session is particu
 larly aimed at early-career researchers\, PhD students\, postdocs\, fellow
 s\, and junior contributors across NGT\, with the goal of creating an open
  environment where new perspectives can be explored freely.\nCoffee and sn
 acks will be provided. A social gathering at R1 will follow after the sess
 ion.\nPlease register so we know how many participants to expect.\n\nhttps
 ://indico.cern.ch/event/1677694/
LOCATION:60/6-015 - Room Georges Charpak (Room F) (CERN)
URL:https://indico.cern.ch/event/1677694/
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