9781108464734-1108464734-Artificial Intelligence and Conservation (Artificial Intelligence for Social Good)

Artificial Intelligence and Conservation (Artificial Intelligence for Social Good)

ISBN-13: 9781108464734
ISBN-10: 1108464734
Edition: 1
Author: Milind Tambe, Fei Fang, Bistra Dilkina, Andrew J. Plumptre
Publication date: 2019
Publisher: Cambridge University Press
Format: Paperback 246 pages
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Book details

ISBN-13: 9781108464734
ISBN-10: 1108464734
Edition: 1
Author: Milind Tambe, Fei Fang, Bistra Dilkina, Andrew J. Plumptre
Publication date: 2019
Publisher: Cambridge University Press
Format: Paperback 246 pages

Summary

Artificial Intelligence and Conservation (Artificial Intelligence for Social Good) (ISBN-13: 9781108464734 and ISBN-10: 1108464734), written by authors Milind Tambe, Fei Fang, Bistra Dilkina, Andrew J. Plumptre, was published by Cambridge University Press in 2019. With an overall rating of 4.1 stars, it's a notable title among other AI & Machine Learning (Computer Science) books. You can easily purchase or rent Artificial Intelligence and Conservation (Artificial Intelligence for Social Good) (Paperback) from BooksRun, along with many other new and used AI & Machine Learning books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

Description

With the increasing public interest in artificial intelligence (AI), there is also increasing interest in learning about the benefits that AI can deliver to society. This book focuses on research advances in AI that benefit the conservation of wildlife, forests, coral reefs, rivers, and other natural resources. It presents how the joint efforts of researchers in computer science, ecology, economics, and psychology help address the goals of the United Nations' 2030 Agenda for Sustainable Development. Written at a level accessible to conservation professionals and AI researchers, the book offers both an overview of the field and an in-depth view of how AI is being used to understand patterns in wildlife poaching and enhance patrol efforts in response, covering research advances, field tests and real-world deployments. The book also features efforts in other major conservation directions, including protecting natural resources, ecosystem monitoring, and bio-invasion management through the use of game theory, machine learning, and optimization.

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