Overview
- 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 and Robotics
- Written by experts in the field
Part of the book series: Lecture Notes in Networks and Systems (LNNS, volume 670)
Included in the following conference series:
Conference proceedings info: ICDLAIR 2022.
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (15 papers)
Other volumes
-
Key Digital Trends in Artificial Intelligence and Robotics
Keywords
About this book
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.
Editors and Affiliations
Bibliographic Information
Book Title: Key Digital Trends in Artificial Intelligence and Robotics
Book Subtitle: Proceedings of 4th International Conference on Deep Learning, Artificial Intelligence and Robotics, (ICDLAIR) 2022 - Progress in Algorithms and Applications of Deep Learning
Editors: Luigi Troiano, Alfredo Vaccaro, Nishtha Kesswani, Irene Díaz Rodriguez, Imene Brigui, David Pastor-Escuredo
Series Title: Lecture Notes in Networks and Systems
DOI: https://doi.org/10.1007/978-3-031-30396-8
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023
Softcover ISBN: 978-3-031-30395-1Published: 18 April 2023
eBook ISBN: 978-3-031-30396-8Published: 16 April 2023
Series ISSN: 2367-3370
Series E-ISSN: 2367-3389
Edition Number: 1
Number of Pages: X, 179
Number of Illustrations: 24 b/w illustrations, 49 illustrations in colour
Topics: Computational Intelligence, Machine Learning, Artificial Intelligence, Data Engineering, Robotics