Artificial Intelligence for the Electron Ion Collider (AI4EIC)

TL;DR

This paper reviews the integration of artificial intelligence and machine learning techniques into the Electron-Ion Collider project, highlighting recent activities, research efforts, and future strategies to enhance experimental capabilities.

Contribution

It provides a comprehensive overview of AI/ML applications, strategies, and ongoing research efforts within the EIC community, including insights from the recent workshop.

Findings

Summarizes current AI/ML activities in EIC

Identifies key challenges and strategies for AI integration

Highlights cutting-edge AI techniques from other experiments

Abstract

The Electron-Ion Collider (EIC), a state-of-the-art facility for studying the strong force, is expected to begin commissioning its first experiments in 2028. This is an opportune time for artificial intelligence (AI) to be included from the start at this facility and in all phases that lead up to the experiments. The second annual workshop organized by the AI4EIC working group, which recently took place, centered on exploring all current and prospective application areas of AI for the EIC. This workshop is not only beneficial for the EIC, but also provides valuable insights for the newly established ePIC collaboration at EIC. This paper summarizes the different activities and R&D projects covered across the sessions of the workshop and provides an overview of the goals, approaches and strategies regarding AI/ML in the EIC community, as well as cutting-edge techniques currently studied in other experiments.