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dc.contributor.authorSpeiser, Michel
dc.date.accessioned2024-10-25T14:41:38Z
dc.date.available2024-10-25T14:41:38Z
dc.date.issued2025
dc.identifierONIX_20241025_9781040222836_31
dc.identifier.urihttps://library.oapen.org/handle/20.500.12657/94031
dc.description.abstractArtificial Intelligence and Systems of the Earth is a book about the potential and capabilities of artificial intelligence (AI) and machine learning (ML) for studying the Earth. It aims to serve as an eye-opener on new avenues of scientific research that can be enabled by AI/ML. This is not meant to be a ‘how to’ book but is written to answer the question ‘what if’. It explains how these tools are currently being applied, and the new opportunities they have opened. Through many examples and application ideas from outside the Earth Sciences, the book discusses some of the most prevalent types of AI in current use, the future of AI hardware, and how AI/ML bring about change. Features Provides accessible and compact coverage on the many uses AI in Earth Science. Covers AI, deep learning, and causal modeling concepts in an easy-to-understand language. Contains a chapter on generat ive AI and its specific strengths and challenges. Includes descriptions of computer hardware for AI and where it is headed. Offers a companion website with regularly updated content. This book is an excellent resource for researchers, academics, graduate, and senior undergraduate students in Earth Science and Environmental Science and Engineering, who wish to learn how AI and ML can benefit them, its potential applications, and capabilities. The Open Access version of this book, available at http://www.taylorfrancis.com, has been made available under a Creative Commons (CC-BY) 4.0 license.
dc.languageEnglish
dc.subject.classificationthema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RB Earth sciences
dc.subject.classificationthema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQN Neural networks and fuzzy systems
dc.subject.classificationthema EDItEUR::U Computing and Information Technology::UN Databases::UNF Data mining
dc.subject.classificationthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJF Electronics engineering::TJFM Automatic control engineering
dc.subject.otherDeep Learning
dc.subject.otherGenerative AI
dc.subject.otherQuantum Computing
dc.subject.otherAI hardware
dc.subject.otherData Science
dc.subject.otherNeural Networks
dc.subject.otherSystem Theory
dc.titleArtificial Intelligence and Systems of the Earth
dc.typebook
oapen.identifier.doi10.1201/9781032710525
oapen.relation.isPublishedBy7b3c7b10-5b1e-40b3-860e-c6dd5197f0bb
oapen.relation.isbn9781040222836
oapen.relation.isbn9781032710525
oapen.relation.isbn9781032710501
oapen.relation.isbn9781040222843
oapen.imprintCRC Press
oapen.pages114


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