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Proceedings
Machine Learning and Artificial Intelligence to Advance Earth System Science: Opportunities and Challenges: Proceedings of a Workshop (2022)
National Academies of Sciences, Engineering, and Medicine; Division on Earth and Life Studies; Division on Engineering and Physical Sciences; Board on Atmospheric Sciences and Climate; Board on Earth Sciences and Resources; Ocean Studies Board; Board on Mathematical Sciences and Analytics; Computer Science and Telecommunications Board; Rachel Silvern, Rapporteur
Computers and Information Technology | Earth Sciences
Consensus Study Report
Foundational Research Gaps and Future Directions for Digital Twins (2024)
National Academy of Engineering; National Academies of Sciences, Engineering, and Medicine; Division on Engineering and Physical Sciences; Division on Earth and Life Studies; Board on Mathematical Sciences and Analytics; Committee on Applied and Theoretical Statistics; Computer Science and Telecommunications Board; Board on Life Sciences; Board on Atmospheric Sciences and Climate; Committee on Foundational Research Gaps and Future Directions for Digital Twins
Computers and Information Technology | Math, Chemistry, and Physics