Artificial Intelligence for Cloud and Edge Computing

This book explores the future possibilities of AI with cloud computing and edge computing, providing insights into various emerging technologies and their integration. It covers topics such as machine and deep learning techniques, security, privacy, and trust issues, AI for smart data storage, and blockchain-based solutions. It is relevant to researchers, academics, students, and professionals.

Format: Paperback / softback
Length: 350 pages
Publication date: 15 January 2023
Publisher: Springer Nature Switzerland AG

This comprehensive book delves into the exciting realm of the future possibilities of artificial intelligence (AI) in conjunction with cloud computing and edge computing. Its primary objective is to conduct thorough analyses, implement innovative solutions, and engage in insightful discussions on a wide range of tools, including artificial intelligence, machine learning, deep learning, cloud computing, fog computing, and edge computing. These tools encompass concepts such as cyber security, enabling readers to gain a comprehensive understanding of the integration of these technologies.

The book offers a quick and comprehensive overview of these emerging topics, providing readers with a wealth of ideas about the future of AI in diverse areas, including cloud, edge, and beyond. It explores various topics such as machine and deep learning techniques for Internet of Things (IoT) based cloud systems, addressing security, privacy, and trust issues in AI-powered cloud and IoT-based cloud systems. Additionally, it discusses the role of AI in smart data storage in cloud-based IoT environments, highlighting blockchain-based solutions for secure and efficient AI-based cloud and IoT systems.

This book is of immense value to researchers, academics, students, and professionals alike. It serves as a valuable resource for those seeking to stay updated with the latest advancements in AI and its intersection with cloud and edge computing. By exploring the rich content and insightful discussions within its pages, readers can gain a deeper understanding of the potential applications and implications of these technologies, paving the way for future innovations and breakthroughs in the field.

Weight: 557g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030808235
Edition number: 1st ed. 2022