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November 28, 2023 to December 1, 2023
Catholic University of America, Washington D.C.
US/Eastern timezone
Artificial Intelligence for the Electron Ion Collider

The 2023 annual workshop on AI4EIC --- Artificial Intelligence for the Electron Ion Collider, will be hosted by Catholic University of America in Washington, D.C., and will take place from November 28 to December 1, 2023.

This year's workshop will be a hybrid event with both in-person and virtual participation options. In light of the enriching experiences from the past two annual workshops at W&M and CFNS, we strongly encourage in-person attendance. Please note, the registration fee of $25 will be collected in person at the event and it is only for in-person participants. No fee is required for virtual participants.  (Registration at: https://indico.bnl.gov/event/19560/registrations/

The workshop will take place in the Caldwell auditorium in CUA.

Please find the Live Notes here

More details can be found at eic.ai/workshops. 

Proceedings will be published in the Journal of Instrumentation. The abstract submission (1 page max, figures can be included) is still open. 

Building upon the productive discussions and synergies formed during our previous events, the focus of this workshop will be the active and potential areas of AI/ML applications within the EIC, including ongoing activities in the ePIC experiment and beyond.

The workshop will feature AI/ML tutorial sessions led by experts from academia, national labs, and the industry.

We are also excited to announce the second international AI4EIC Hackathon, which will be held on December 1st.

AI/ML is proving to be a fundamental component in all phases of the future EIC, from design and R&D to practical applications. This workshop presents an invaluable opportunity for our community to stay abreast of the ongoing AI/ML projects and plans for the EIC. It's a platform for meaningful discussions on various interdisciplinary topics, fostering collaboration between theorists, experimentalists, accelerator physicists, and AI/ML practitioners.


Scientific Organizing Committee

Markus Diefenthaler (JLab)

Cristiano Fanelli (W&M)

Tanja Horn (CUA)

David Lawrence (JLab)

Meifeng Lin (BNL)

Dennis Manos (W&M)

Benjamin Nachman (LBNL)

Torre Wenaus (BNL)

Mike Williams (MIT)


Catholic University of America, Washington D.C.
Caldwell auditorium
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Registration for this event is currently open.