Registration for virtual participation open for AI for Experiments – Research Collaborations (JTFI Workshop-Part II) workshop

Registration for virtual participation is now open for AI for Experiments – Research Collaborations (JTFI Workshop-Part II) workshop. The event will be held on Thursday, October 20, 2022.

Registration was split into in-person and virtual to allow for broad participation. The in-person registration is now closed.

The workshop hosted by Fermi National Accelerator Laboratory, the University of Chicago and Argonne National Laboratory will focus on opportunities to collaborate on AI research between the three institutions. We expect participants from the three institutions who are interested in collaborating and pushing the frontier in AI crucial areas such as inverse problems, uncertainty, active learning, and reinforcement learning in the context of measurements.

Registered participants will be able to virtually attend the morning keynote talks by the host institutions. Also, a special interactive virtual session in the evening will be made available for registered participants for questions, brainstorming collaboration opportunities, and discussions around the workshop topics (see agenda).

Deadline to register: October 6.

Objective: to forge new connections between Fermilab, University of Chicago and Argonne on the topics of intersection of AI and experimental measurements. Researchers from diverse domains such as data acquisition, metrology, cosmology, astronomy, particle physics, accelerator science and chemistry are encouraged to participate and gain exposure to cutting-edge AI research and tools.

Sponsors: This workshop is sponsored by the University of Chicago’s Office of Research and National Laboratories Joint Task Force Initiative’s “AI+Science” grant and the Center for Data and Computing (CDAC) – an intellectual hub and incubator for data science and artificial intelligence research at the University of Chicago.

Register here.

Please contact Tammy Gloss (  with any questions.