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Key Digital Trends in Artificial Intelligence and Robotics : Proceedings of 4th International Conference on Deep Learning, Artificial Intelligence and Robotics, (ICDLAIR) 2022 - Progress in Algorithms and Applications of Deep Learning / edited by Luigi Troiano, Alfredo Vaccaro, Nishtha Kesswani, Irene Díaz Rodriguez, Imene Brigui, David Pastor-Escuredo.

Springer eBooks EBA - Intelligent Technologies and Robotics Collection 2023 Available online

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Format:
Book
Contributor:
Troiano, Luigi, editor.
Series:
Lecture Notes in Networks and Systems, 2367-3389 ; 670
Language:
English
Subjects (All):
Computational intelligence.
Machine learning.
Artificial intelligence.
Engineering--Data processing.
Engineering.
Robotics.
Computational Intelligence.
Machine Learning.
Artificial Intelligence.
Data Engineering.
Local Subjects:
Computational Intelligence.
Machine Learning.
Artificial Intelligence.
Data Engineering.
Robotics.
Physical Description:
1 online resource (X, 179 p. 73 illus., 49 illus. in color.)
Edition:
1st ed. 2023.
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2023.
Summary:
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. .
Notes:
Includes bibliographical references and index.
ISBN:
3-031-30396-2

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