Document Type

Article

Publication Date

2024

DOI

10.1007/s41781-024-00113-4

Publication Title

Computing and Software for Big Science

Volume

8

Issue

1

Pages

5 (1-21)

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.

Rights

© 2024 The Authors.

This article is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original authors and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.

Data Availability

Article states: "The datasets and lecture materials used in our tutorials are publicly available on the EIC Community website at https://eic.ai/community, which includes all relevant educational resources."

Original Publication Citation

Allaire, C., Ammendola, R., Aschenauer, E. C., Balandat, M., Battaglieri, M., Bernauer, J., Bondi, M., Branson, N., Britton, T., Butter, A., Chahrour, I., Chatagnon, P., Cisbani, E., Cline, E. W., Dash, S., Dean, C., Deconinck, W., Deshpande, A., Diefenthaler, M., . . . Zurita, P. (2024). Artificial intelligence for the Electron-Ion Collider (AI4EIC). Computing and Software for Big Science, 8(1), 1-21, Article 5. https://doi.org/10.1007/s41781-024-00113-4

ORCID

0000-0002-8081-3815 (Satogata)

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