Key Digital Trends in Artificial Intelligence and Robotics, Kartoniert / Broschiert
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
(soweit verfügbar beim Lieferanten)
- Herausgeber:
- Luigi Troiano, Alfredo Vaccaro, David Pastor-Escuredo, Irene Díaz Rodriguez, Imene Brigui, Nishtha Kesswani
- Verlag:
- Springer International Publishing, 04/2023
- Einband:
- Kartoniert / Broschiert, Paperback
- Sprache:
- Englisch
- ISBN-13:
- 9783031303951
- Artikelnummer:
- 11472826
- Umfang:
- 192 Seiten
- Nummer der Auflage:
- 23001
- Ausgabe:
- 1st edition 2023
- Gewicht:
- 300 g
- Maße:
- 235 x 155 mm
- Stärke:
- 11 mm
- Erscheinungstermin:
- 18.4.2023
- Hinweis
-
Achtung: Artikel ist nicht in deutscher Sprache!
Klappentext
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.
Biografie (Alfredo Vaccaro)
Alfredo Vaccaro received his MSc degree cum laude and commendation in Electronic Engineering from the University of Salerno. He has been Research Scientist and Adjunct Professor of Electric Power Systems at the Department of Engineering of University of Sannio since 2002. His fields of interest include electric power system analysis, cooperative smart sensor networks for protection and diagnostics of complex electricity systems, integration of distributed generation systems on electrical networks, soft computing and interval based methodologies in power systems reliability analysis.