Machine Learning and Artificial Intelligence to Advance Earth System Science
Rachel Silvern Autor National Academies of Sciences Engineering and Medicine, Division on Engineering and Physical Sciences, Division On Earth And Life Studies, Computer Science and Telecommunications Board, Board on Mathematical Sciences and Analytics, Ocean Studies Board, Board On Earth Sciences And Resources, Board on Atmospheric Sciences and Climateen Limba Engleză Paperback – 12 iul 2022
To address the challenges and opportunities around using ML/AI to advance Earth system science, the National Academies convened a workshop in February 2022 that brought together Earth system experts, ML/AI researchers, social and behavioral scientists, ethicists, and decision makers to discuss approaches to improving understanding, analysis, modeling, and prediction. Participants also explored educational pathways, responsible and ethical use of these technologies, and opportunities to foster partnerships and knowledge exchange. This publication summarizes the workshop discussions and themes that emerged throughout the meeting.
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Specificații
ISBN-13: 9780309688536
ISBN-10: 0309688531
Pagini: 68
Dimensiuni: 173 x 249 x 5 mm
Greutate: 0.16 kg
Editura: National Academies Press
ISBN-10: 0309688531
Pagini: 68
Dimensiuni: 173 x 249 x 5 mm
Greutate: 0.16 kg
Editura: National Academies Press