Edge Artificial Intelligence : Transforming Computing from Cloud to Edge

The text covers a broad range of topics including containerization, virtualization, security best practices, and explainable artificial intelligence, making it a comprehensive resource for professionals aiming to implement edge artificial intelligence solutions.

This book provides an in-depth exploration of the integration of cloud and edge computing in artificial intelligence, addressing critical topics such as hybrid architectures, real-time data processing, security, and practical artificial intelligence applications. Offers a detailed exploration of foundational concepts and practical applications of edge artificial intelligence, making it a comprehensive resource for understanding this emerging technology. Features real-world case studies from various sectors such as smart cities, industrial applications, healthcare, and agriculture, providing practical insights into how edge artificial intelligence is being applied. Discusses the latest trends and future directions in edge artificial intelligence, including advancements in edge hardware and software, federated learning, and the potential impact of blockchain technology. Addresses critical issues like security threats, privacy-preserving techniques, and the importance of explainable artificial intelligence. Highlights case studies and real-world examples to illustrate the tangible benefits of edge artificial intelligence. This book is primarily written for senior undergraduate students, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, computer science and engineering, and information technology.