AI4EIC 2nd workshop event follows the productive experience of the first AI4EIC workshop held in 2021 at CFNS and is organized by the EICUG AI WG. The scope of this second workshop is to cover all active and potential areas of applications of AI/ML for the EIC. Along with the 2nd workshop, a hackathon is also conducted on the 14th of October 2022 for the whole day. For this hackathon we propose problems of different difficulty, starting from one that is accessible to everyone, that are deemed to be solvable in a one-day event. We focus on the dual-radiator Ring Imaging Cherenkov (dRICH) detector under development as part of the particle-identification (PID) system at the future Electron-Ion Collider (EIC). Data are produced using the ePIC software stack. We choose as a working point a range in momentum around 15 GeV, which corresponds to a region where potentially both radiators can contribute to the $\pi/K$ separation (and certainly at larger momenta the gas radiator can contribute to PID). Despite the inherent `simplicity' of the problems, given the approximations made as explained in this document, this event can potentially become a first step towards machine learning/deep learning application for PID with the dRICH.

{"references": ["Cisbani, Evaristo, et al. \"AI-optimized detector design for the future Electron-Ion Collider: the dual-radiator RICH case.\" Journal of Instrumentation 15.05 (2020): P05009.", ". Del Dotto, C.-P. Wong, and et. al. Design and r&d of rich detectors for eic experiments. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 876:237\u2013240, 2017"]}

We thank Amazon Web Services (aws) for their support to the hackathon. We also, thank the College of William and Mary for their support to the hackathon and for sponsoring the prizes.