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Books > Computing & IT > Applications of computing > Artificial intelligence
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Machine Learning and Artificial Intelligence to Advance Earth System Science - Opportunities and Challenges: Proceedings of a Workshop (Paperback)
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Machine Learning and Artificial Intelligence to Advance Earth System Science - Opportunities and Challenges: Proceedings of a Workshop (Paperback)
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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 Contents Front Matter Overview Introduction
Emerging Approaches for Using, Interpreting, and Integrating ML/AI
for Earth System Science Challenges and Risks of Using ML/AI for
Earth System Science Identifying Future Opportunities to Accelerate
Progress Closing Thoughts References Appendix A: Statement of Task
Appendix B: Planning Committee Biographies Appendix C: Workshop
Agenda
General
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