Research Meeting 24153
AI for Realistic Science: Advances and Challenges in Large-Scale Experimental Facilities
( Apr 07 – Apr 12, 2024 )
(Click in the middle of the image to enlarge)
Permalink
Please use the following short url to reference this page:
https://www.dagstuhl.de/24153
Organizers
- Ian T. Foster (Argonne National Laboratory - Lemont, US)
- Tony Hey (Science and Technology Facilities Council - Didcot, GB)
- James A Sethian (University of California - Berkeley, US)
- Arjun Shankar (Oak Ridge National Laboratory, US)
- Jeyan Thiyagalingam (Rutherford Appleton Lab. - Didcot, GB)
Contact
- Heike Clemens (for administrative matters)
Schedule
- Upload (Use personal credentials as created in DOOR to log in)
Recently, AI has been influential on a range of discoveries, starting from Alpha Fold to recent developments on large language models, such as ChatGPT. The focus of this event is to leverage the potential of AI for advancing Science, specifically focussed at large-scale experimental facilities, such as photon and neutron sources. This event will focus on sharing the recent advances on this space, and identifying a set of challenges that are worthy of solving in the next three -to-five-year period.
Creative Commons BY 4.0
Ian T. Foster, Tony Hey, James A Sethian, and Jeyan Thiyagalingam
Keywords
- AI for Science
- Machine Learning
- Scientific Data Analysis
- AI at Edge and Smart Facilities
