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SUMMARY:AI@LHC 2026: What Next?
DTSTART;VALUE=DATE-TIME:20260525T080000Z
DTEND;VALUE=DATE-TIME:20260528T100000Z
DTSTAMP;VALUE=DATE-TIME:20260502T065000Z
UID:indico-event-28843@indico.ihep.ac.cn
DESCRIPTION:\nThis is a mirror page to https://indico.cern.ch/event/16507
 48/   Please register there.\n\n\nWe sincerely invite you to participate
  in the workshop “AI@LHC 2026: What's Next”\, which will be held May 2
 5–28 at Peking University\, organized with the support of the CHEP–CER
 N Joint Program.\n\n\n	\n	Registration: Sunday\, May 24\n	\n	\n	Workshop P
 rogram: May 25–27\n	\n	\n	Free Discussions & Collaboration Day: May 28\n
 	\n\n\n \n\nConfirmed Plenary Speakers (Continuously updated):\n\n\n	Maur
 izio Pierini (CERN):   AI HEP overview\n	Francesco Vaselli (Scuola Norma
 le Superiore and INFN Pisa): AI for event simulation \n	Jingjing Pan (KIT
 ):  Simulation-based inference for collider physics\n	Farouk Mokhtar (UCS
 D):   ML-based particle flow \n	Bingxuan Liu (SYSU):    Jet tagging f
 rom DNN to Transformers\n	Christopher Edward Brown (CERN):  Jet tagging o
 n the Edge\n	Maciej Mikolaj Glowacki (CERN):  ANomaly Detection on the ed
 ge\n	Yulei Zhang (Washington U.): Foundation Models for HEP\n	Several indu
 stry keynote presentations \n\n\nThis workshop aims to explore the next f
 rontier of Artificial Intelligence in High Energy Physics\, with a particu
 lar focus on applications at the Large Hadron Collider (LHC) and future co
 llider experiments.\n\nThe scientific program will include invited and con
 tributed talks on topics such as:\n\n\n	\n	AI at the LHC\n	\n	\n	AI for ev
 ent reconstruction\n	\n	\n	AI for event generation\n	\n	\n	Simulation-base
 d inference for collider physics\n	\n	\n	ML-based particle flow\n	\n	\n	Je
 t tagging: from DNNs to Transformers\n	\n	\n	Anomalous jet detection\n	\n	
 \n	Jet tagging on the edge\n	\n	\n	Anomaly detection on the edge\n	\n	\n	F
 oundation models for HEP\n	\n	\n	The future of AI on edge for real-time pr
 ocessing\n	\n\n\nIn addition\, the workshop will feature keynote talks on 
 frontier AI and computing topics\, including:\n\n\n	\n	Efficient reasoning
  and sparse models\n	\n	\n	AGI and cognitive AI\n	\n	\n	AI-driven multi-sc
 ale physical simulation\n	\n	\n	Large-scale AI infrastructure\n	\n\n\nThe 
 workshop will bring together experts in particle physics\, artificial inte
 lligence\, and computing infrastructure to discuss emerging challenges\, n
 ovel methodologies\, and future directions of AI in collider physics.\n\nW
 e warmly welcome researchers\, students\, and industry partners to join us
  for this exciting event.\n\n\n会议安排包括15场邀请报告、若
 干教程和大会主旨报告。另有约18个闪电报告（7+3分钟）
 及配套海报展示，现正开放投稿。\n\n我们诚挚宣布，研
 讨会 “AI@LHC：下一步是什么？” 将在 北京大学 举行。\
 n\n\n	\n	报到时间： 5月24日（周日）\n	\n	\n	会议时间： 5
 月25日–27日\n	\n	\n	自由讨论与合作交流： 5月28日\n	\n\n\n
 本次研讨会旨在探讨人工智能在高能物理领域，特别是
 在大型强子对撞机（LHC）及未来对撞机实验中的前沿发
 展方向。\n\n会议将涵盖多个专题报告，包括但不限于：\
 n\n\n	\n	LHC中的人工智能应用\n	\n	\n	基于AI的事例重建\n	\n	
 \n	基于AI的事例生成\n	\n	\n	基于模拟的对撞机物理推断\n	
 \n	\n	基于机器学习的粒子流重建\n	\n	\n	从DNN到Transformer的
 喷注标记\n	\n	\n	异常喷注探测\n	\n	\n	边缘端喷注标记\n	\n
 	\n	边缘端异常探测\n	\n	\n	面向高能物理的基础模型\n	\n	\
 n	面向实时处理的边缘AI未来发展\n	\n\n\n此外，会议还将
 邀请多位专家作大会特邀报告，主题包括：\n\n\n	\n	高效
 推理与稀疏模型\n	\n	\n	通用人工智能与认知智能\n	\n	\n	AI
 驱动的多尺度物理模拟\n	\n	\n	大规模AI基础设施\n	\n\n\n本
 次研讨会将汇聚粒子物理、人工智能及计算基础设施领
 域的专家学者，共同探讨AI在对撞机物理中的新挑战、新
 方法与未来发展方向。\n\n诚挚欢迎国内外科研人员、青
 年学者及学生参加本次会议。\n\nhttps://indico.ihep.ac.cn/event
 /28843/
LOCATION:Physics Building
URL:https://indico.ihep.ac.cn/event/28843/
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