  Imaging Cherenkov detectors are largely used in modern nuclear and particle
physics experiments where cutting-edge solutions are needed to face always more
growing computing demands. This is a fertile ground for AI-based approaches and
at present we are witnessing the onset of new highly efficient and fast
applications. This paper focuses on novel directions with applications to
Cherenkov detectors. In particular, recent advances on detector design and
calibration, as well as particle identification are presented.
