ESnet Data and AI Workshop Report
In February 2025, the DOE user facility Energy Sciences Network (ESnet) held a three-day Data and AI Workshop in Berkeley, California. The objective of the workshop was to identify challenges within ESnet that could be addressed through data-driven methods, to help define ESnet’s data-analysis requirements, and to shape its AI strategy, guiding data-stewardship efforts and the direction of AI research and AIOps exploration for ESnet7, the next iteration of ESnet’s network. This report summarizes the multi-faceted discussions and findings and presents a set of recommendations for next steps.
- Research Organization:
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
- Sponsoring Organization:
- US Department of Energy; USDOE Office of Science (SC)
- DOE Contract Number:
- AC02-05CH11231
- OSTI ID:
- 2571672
- Report Number(s):
- LBNL-2001684; ark:/13030/qt1hx9b9ww; https://escholarship.org/uc/item/1hx9b9ww
- Country of Publication:
- United States
- Language:
- English
Similar Records
Science-Driven Network Requirements for ESnet
Brochure for the DOE Office of Science Workshop on Envisioning Frontiers in AI and Computing for Biological Research
Report on Next-Gen AI for Proliferation Detection Workshop: Domain-Aware Methods
Technical Report
·
Mon Feb 20 23:00:00 EST 2006
·
OSTI ID:925525
Brochure for the DOE Office of Science Workshop on Envisioning Frontiers in AI and Computing for Biological Research
Technical Report
·
Wed Dec 31 19:00:00 EST 2025
·
OSTI ID:2566160
Report on Next-Gen AI for Proliferation Detection Workshop: Domain-Aware Methods
Technical Report
·
Sun Jan 31 23:00:00 EST 2021
·
OSTI ID:2000731