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portada Machine Learning and Artificial Intelligence to Advance Earth System Science. Opportunities and Challenges: Proceedings of a Workshop
Formato
Libro Físico
Editorial
Autor
Año
2022
N° páginas
68
Encuadernación
Tapa Blanda
Dimensiones
25.4x17.8x2.5 cm
ISBN13
9780309688536

Machine Learning and Artificial Intelligence to Advance Earth System Science. Opportunities and Challenges: Proceedings of a Workshop

Board On Atmospheric Sciences And Climate;Rachel Silvern;Ocean Studies Board;Engineering, And Medicine National Academies Of Sciences;Division On Engineering And Physical Sciences;Division On Earth And Life Studies;Computer Science And Telecommunications (Autor) · National Academies Press · Tapa Blanda

Machine Learning and Artificial Intelligence to Advance Earth System Science. Opportunities and Challenges: Proceedings of a Workshop - Board on Atmospheric Sciences and Climate;Rachel Silvern;Ocean Studies Board;Engineering, and Medicine National Academies of Sciences;Division on Engineering and Physical Sciences;Division on Earth and Life Studies;Computer Science and Telecommunications

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Reseña del libro "Machine Learning and Artificial Intelligence to Advance Earth System Science. Opportunities and Challenges: Proceedings of a Workshop"

The Earth system - the atmospheric, hydrologic, geologic, and biologic cycles that circulate energy, water, nutrients, and other trace substances - is a large, complex, multiscale system in space and time that involves human and natural system interactions. Machine learning (ML) and artificial intelligence (AI) offer opportunities to understand and predict this system. Researchers are actively exploring ways to use ML/AI approaches to advance scientific discovery, speed computation, and link scientific communities. 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. Table of ContentsFront MatterOverviewIntroductionEmerging Approaches for Using, Interpreting, and Integrating ML/AI for Earth System ScienceChallenges and Risks of Using ML/AI for Earth System ScienceIdentifying Future Opportunities to Accelerate ProgressClosing ThoughtsReferencesAppendix A: Statement of TaskAppendix B: Planning Committee BiographiesAppendix C: Workshop Agenda

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