AI for Experiments - Research Collaboration (JTFI Workshop, Part II) Virtual
Virtual
Registration is Now Open for Virtual Participants!
AI for Experiments - Research Collaborations (JTFI Workshop-Part II)
The AI for Experiments – Research Collaborations workshop will have an in-person part and a virtual part this year as a balance to satisfy health requirements and allow for broad participation. The event will be held on Thursday, October 20th, 2022.
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.
This event concludes the “AI + measurements” JTFI workshop, which aims to forge new connections and collaborations between the organizing institutions. The first part of this two-part workshop is here.
What should you do? The organizing committee invites you to register for the workshop before noon October 6, 2022. 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 6th at 5:30 PM CDT.
Connection information will be e-mailed to registrants 24 hours prior to the event.
Who should attend? “AI for experiments – research collaborations” will provide an opportunity to discuss interdisciplinary areas in AI for experiments in sciences and engineering. Targeted attendees are researchers working at the frontlines of AI or experimentalists with AI-relevant problems; researchers, post-docs, and graduate students are welcome to attend.
Objective: to forge new connections between Fermilab, University of Chicago, Toyota Technological Institute at Chicago (TTIC), 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.
Aakaash Narayanan
Arun Bommannavar
Becky Nevin
Benedetto Di Ruzza
Chandrachur Bhattacharya
Eliu Huerta
Eric Dufresne
Eric Jonas
Guosheng Ye
J. Charles Thangaraj
Jie Xu
jim huang
Kamlesh Suthar
Kent Bostick
Kevin Klepper
Mauricio Suarez
Max Wyman
Meltem Urgun-Demirtas
Michael Prince
Nhan Tran
Nina Andrejevic
Paul Fenter
shaohong Gu
Smita Darmora
Srutarshi Banerjee
Tammy Gloss
Tirupathi Malavath
Tyler Eastmond
Wilkie Olin-Ammentorp
Xingfu Wu
Yuxin Chen