Artificial Intelligence for imaging Cherenkov detectors at the EIC

Abstract Imaging Cherenkov detectors form the backbone of particle identification (PID) at future Electron Ion Collider (EIC). Currently all designs for first EIC detector proposal use a dual Ring CHerenkov (dRICH) in hadron endcap, Detector Internally Reflected (DIRC) light barrel, and modular RICH (mRICH) electron endcap. These involve optical processes with many photons that need to be tracked through complex surfaces simulation level, while reconstruction they rely on pattern recognition ring images. This proceeding summarizes ongoing efforts possible applications AI imaging EIC. In particular we will provide example dRICH AI-assisted design DIRC from patterns discuss advantages using AI.