AI@DOE Interim Executive Report
- National Renewable Energy Lab. (NREL), Golden, CO (United States)
- National Energy Technology Lab. (NETL), Albany, OR (United States)
- Argonne National Lab. (ANL), Argonne, IL (United States)
- Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
Interim executive report for DOE’s Office of Science, NNSA, and Applied Energy Offices, in collaboration with the Artificial Intelligence and Technology Office, DOE AI roundtable workshops (December 2021 through February 2022) (“AI@DOE”). These workshops were used to help identify AI research requirements and priorities for the next decade for Department of Energy in developing machine-learning-based prediction and decision-support capabilities that address and anticipate DOE mission challenges. These missions’ challenges for AI include: AI to advance scientific discovery and technological innovation AI to support high consequence decisions while managing risk AI to improve DOE’s responsiveness to national & global issues AI to assist stewardship of the environment and national critical infrastructure These will be addressed in large part through the development and application of new and powerful artificial intelligence and/or machine learning algorithms and strategies. https://web.cvent.com/event/fc3922f8-fc75-4041-a317-f13a1da44f7c/summary?locale=en-US&i=2Wx2tjbStkydRFq_N2whPw
- Research Organization:
- US Department of Energy (USDOE), Washington DC (United States)
- Sponsoring Organization:
- US Department of Energy (USDOE), Washington DC (United States)
- OSTI ID:
- 1872103
- Report Number(s):
- 71cd9884-ae89-43cb-9d2c-3aac6cce2042
- Country of Publication:
- United States
- Language:
- English
| AI@DOE Interim Executive Report | report | November 2022 |
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