Artificial Intelligence and Systems of the Earth
| Autor: | Speiser, Michel |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2025 |
| Předmět: |
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 |
| Druh dokumentu: | book |
| DOI: | 10.1201/9781032710525 |
| Popis: | 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. |
| Databáze: | OAPEN Library |
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