Hardware AI Co-Design for Large Hadron Collider 

ORAL  · Invited

Abstract

The Large Hadron Collider (LHC) deliver particle collisions with extreme data rate and volume to study phenomena at the smallest spatial scale achievable by humans. Artificial Intelligence can revolutionize new physics detection closest to the data creation, enabling or accelerating discoveries that otherwise would be impossible. I will discuss opportunities and challenges in harnessing LHC data, with a focus on paradigm shifting search strategies, challenges in co-design AI for LHC detectors, as well as its broader impact.

*This material is based upon work supported by the U.S. National Science Foundation (NSF) Harnessing the Data Revolution (HDR) Institute for Accelerated AI Algorithms for Data-Driven Discovery (A3D3) under Cooperative Agreement No. PHY-2117997. 

Presenters

  • Mia Liu

    • Purdue

Authors

  • Mia Liu

    • Purdue