Artificial Intelligence and Systems of the Earth
Artificial 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...
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| Format: | Online |
| Idioma: | anglès |
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Taylor & Francis
2024
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| Accés en línia: | ONIX_20241025_9781040222836_31 |
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| _version_ | 1869526601886072832 |
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| author | Speiser, Michel |
| author_browse | Speiser, Michel |
| author_facet | Speiser, Michel |
| author_sort | Speiser, Michel |
| collection | Directory of Open Access Books |
| description | Artificial 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. |
| format | Online |
| id | doab-20.500.12854ir-146862 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | Taylor & Francis |
| publisherStr | Taylor & Francis |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1468622025-07-21T15:44:57Z Artificial Intelligence and Systems of the Earth Speiser, Michel Deep Learning Generative AI Quantum Computing AI hardware Data Science Neural Networks System Theory thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RB Earth sciences thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQN Neural networks and fuzzy systems thema EDItEUR::U Computing and Information Technology::UN Databases::UNF Data mining thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJF Electronics engineering::TJFM Automatic control engineering thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RB Earth sciences thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQN Neural networks and fuzzy systems thema EDItEUR::U Computing and Information Technology::UN Databases::UNF Data mining thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJF Electronics engineering::TJFM Automatic control engineering Artificial 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. 2024-10-26T04:16:32Z 2024-10-26T04:16:32Z 2024-10-25T14:41:38Z 2025 book ONIX_20241025_9781040222836_31 https://library.oapen.org/handle/20.500.12657/94031 9781040222836 9781032710525 9781032710501 9781040222843 https://directory.doabooks.org/handle/20.500.12854/146862 eng open access image/png image/jpeg image/jpeg Attribution 4.0 International Attribution 4.0 International Attribution 4.0 International https://library.oapen.org/bitstream/20.500.12657/94031/1/9781040222836.pdf https://library.oapen.org/bitstream/20.500.12657/94031/1/9781040222836.pdf https://library.oapen.org/bitstream/20.500.12657/94031/1/9781040222836.pdf Taylor & Francis CRC Press 10.1201/9781032710525 10.1201/9781032710525 fa69b019-f4ee-4979-8d42-c6b6c476b5f0 9781040222836 9781032710525 9781032710501 9781040222843 CRC Press 114 open access |
| spellingShingle | Deep Learning Generative AI Quantum Computing AI hardware Data Science Neural Networks System Theory thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RB Earth sciences thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQN Neural networks and fuzzy systems thema EDItEUR::U Computing and Information Technology::UN Databases::UNF Data mining thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJF Electronics engineering::TJFM Automatic control engineering thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RB Earth sciences thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQN Neural networks and fuzzy systems thema EDItEUR::U Computing and Information Technology::UN Databases::UNF Data mining thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJF Electronics engineering::TJFM Automatic control engineering Speiser, Michel Artificial Intelligence and Systems of the Earth |
| title | Artificial Intelligence and Systems of the Earth |
| title_full | Artificial Intelligence and Systems of the Earth |
| title_fullStr | Artificial Intelligence and Systems of the Earth |
| title_full_unstemmed | Artificial Intelligence and Systems of the Earth |
| title_short | Artificial Intelligence and Systems of the Earth |
| title_sort | artificial intelligence and systems of the earth |
| topic | Deep Learning Generative AI Quantum Computing AI hardware Data Science Neural Networks System Theory thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RB Earth sciences thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQN Neural networks and fuzzy systems thema EDItEUR::U Computing and Information Technology::UN Databases::UNF Data mining thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJF Electronics engineering::TJFM Automatic control engineering thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RB Earth sciences thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQN Neural networks and fuzzy systems thema EDItEUR::U Computing and Information Technology::UN Databases::UNF Data mining thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJF Electronics engineering::TJFM Automatic control engineering |
| topic_facet | Deep Learning Generative AI Quantum Computing AI hardware Data Science Neural Networks System Theory thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RB Earth sciences thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQN Neural networks and fuzzy systems thema EDItEUR::U Computing and Information Technology::UN Databases::UNF Data mining thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJF Electronics engineering::TJFM Automatic control engineering thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RB Earth sciences thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQN Neural networks and fuzzy systems thema EDItEUR::U Computing and Information Technology::UN Databases::UNF Data mining thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJF Electronics engineering::TJFM Automatic control engineering |
| url | ONIX_20241025_9781040222836_31 |
| work_keys_str_mv | AT speisermichel artificialintelligenceandsystemsoftheearth |