Machine Learning and Artificial Intelligence to Advance Earth System Science: Opportunities and Challenges: Proceedings of a Workshop
By: and and and and and and and
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- Synopsis
- 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.
- Copyright:
- 2022
Book Details
- Book Quality:
- Publisher Quality
- ISBN-13:
- 9780309688567
- Publisher:
- The National Academies Press
- Date of Addition:
- 10/03/22
- Copyrighted By:
- the National Academy of Sciences
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.
Reviews
Other Books
- by National Academies of Sciences, Engineering, and Medicine
- by Division on Engineering and Physical Sciences
- by Division on Earth and Life Studies
- by Computer Science and Telecommunications Board
- by Board on Mathematical Sciences and Analytics
- by Ocean Studies Board
- by Board on Earth Sciences and Resources
- by Board on Atmospheric Sciences and Climate
- in Nonfiction