This book divides edge intelligence into AI for edge (intelligence-enabled edge computing) and AI on edge (artificial intelligence on edge). It focuses on providing optimal solutions to the key concerns in edge computing through effective AI technologies, and it also discusses how to build AI models, i.e., model training and inference, on edge. This book focuses on giving insights into this new inter-disciplinary field of edge computing from a broader vision and perspective. It discusses the core concepts and the research road-map, which should provide the necessary background for potential future research programs in edge intelligence. The authors also explain machine learning algorithms for edge computing, and the future needs and potential of the technology. The authors discuss the core concepts, frameworks, patterns and the research roadmap, which should provide the necessary background for potential future research programs in edge intelligence. The target audience of this book includes academics, research scholars, industrial experts, scientists and postgraduate students who are working in the field of IoT or edge computing and would like to add machine learning to enhance capabilities of their work.

Book Information
ISBN 9780367694326
Author Amitoj Singh
Format Hardback
Page Count 184
Imprint CRC Press
Publisher Taylor & Francis Ltd
Weight(grams) 156g