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Titlebook: Progresses in Artificial Intelligence & Robotics: Algorithms & Applications; Proceedings of 3rd I Luigi Troiano,Alfredo Vaccaro,Imene Brigu

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書目名稱Progresses in Artificial Intelligence & Robotics: Algorithms & Applications
副標題Proceedings of 3rd I
編輯Luigi Troiano,Alfredo Vaccaro,Imene Brigui
視頻videohttp://file.papertrans.cn/761/760803/760803.mp4
概述Presents new technologies and applications in deep learning, artificial intelligence and robotics.Includes the results from the 3rd International Conference on Deep Learning, Artificial Intelligence a
叢書名稱Lecture Notes in Networks and Systems
圖書封面Titlebook: Progresses in Artificial Intelligence & Robotics: Algorithms & Applications; Proceedings of 3rd I Luigi Troiano,Alfredo Vaccaro,Imene Brigu
描述.This book presents new technologies and applications in deep learning, artificial intelligence and robotics. The field of machine intelligence (MI), unifying robotics and artificial intelligence is experiencing constant growth and change. The challenge to reproduce human behavior in machines requires the interaction of many fields, from engineering to mathematics, from neurology to biology, from computer science to robotics, from web search to social networks, from machine learning to game theory, etc.?..This book Progresses in Artificial Intelligence & Robotics : Algorithms & Applications (proceedings of? 3rd International Conference on Deep Learning, Artificial Intelligence and Robotics (ICDLAIR) 2021 ) introduces key topics from artificial intelligence algorithms and programming organization and explains how they contribute to autonomous capabilities. The book is primarily intended for researchers, students, and engineers who wish to use the applications of artificial intelligence to solve concrete problems. We hope that companies and technology developers also find it interesting to be used in industry..
出版日期Conference proceedings 2022
關(guān)鍵詞Computer Science; Informatics; Conference Proceedings; Research; Applications; Deep Learning; Artificial I
版次1
doihttps://doi.org/10.1007/978-3-030-98531-8
isbn_softcover978-3-030-98530-1
isbn_ebook978-3-030-98531-8Series ISSN 2367-3370 Series E-ISSN 2367-3389
issn_series 2367-3370
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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