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Titlebook: Key Digital Trends in Artificial Intelligence and Robotics; Proceedings of 4th I Luigi Troiano,Alfredo Vaccaro,David Pastor-Escured Confere

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書(shū)目名稱(chēng)Key Digital Trends in Artificial Intelligence and Robotics
副標(biāo)題Proceedings of 4th I
編輯Luigi Troiano,Alfredo Vaccaro,David Pastor-Escured
視頻videohttp://file.papertrans.cn/543/542557/542557.mp4
概述Presents new technologies and applications in Deep Learning, Artificial Intelligence and robotics.Includes the results from the 4th International Conference on Deep Learning, Artificial Intelligence a
叢書(shū)名稱(chēng)Lecture Notes in Networks and Systems
圖書(shū)封面Titlebook: Key Digital Trends in Artificial Intelligence and Robotics; Proceedings of 4th I Luigi Troiano,Alfredo Vaccaro,David Pastor-Escured Confere
描述.The book (proceedings of the 4th International Conference on Deep Learning, Artificial Intelligence and Robotics (ICDLAIR) 2022) introduces key topics from artificial intelligence algorithms and programming organisations and explains how they contribute to health care, manufacturing, law, finance, retail, real estate, accountancy, digital marketing, and various other fields. Although artificial intelligence (AI) has generated a lot of hype over the past ten years, these consequences on how we live, work, and play are still in their infancy and will likely have a significant impact in the future. The supremacy of AI in areas like speech and picture recognition, navigational apps, personal assistants for smartphones, ride-sharing apps, and many other areas is already well established. The book is primarily meant for academics, researchers, and engineers who want to employ AI applications to address real-world issues. The authors hope that businesses and technology creators will also find it appealing to utilise in industry...?.
出版日期Conference proceedings 2023
關(guān)鍵詞ICDLAIR2022; Deep Learning; Artificial Intelligence; Robotics; Biometric Recognition Systems; Medical Dia
版次1
doihttps://doi.org/10.1007/978-3-031-30396-8
isbn_softcover978-3-031-30395-1
isbn_ebook978-3-031-30396-8Series 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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