AI at the Edge: Decentralized Intelligence for a Smart World

Book Title: Innovation Interconnected: Exploring the Frontiers of Computing and Communication Technologies

Editors:  Dr. M. Germin Nisha and Mr. Albert Prasanna Kumar

ISBN:  978-81-970102-9-3

Chapter: 5

DOI:   https://doi.org/10.59646/CompComTechC5/119

Authors: Avick Kumar Dey1 and Dr. B. Shamreen Ahamed2

1Assistant Professor & Head (Research & Development), Department of Computer Applications, Durgapur Society of Management Science (DSMS), West Bengal, India.
2Assistant Professor, Department of Computer Science and Engineering, Sathyabama Institute of Science and Technology, Chennai, Tamil Nadu, India.

Abstract:

The chapter titled “AI at the Edge: Decentralized Intelligence for a Smart World” explores the paradigm shift in artificial intelligence (AI) deployment, emphasizing the transition from centralized cloud-based systems to decentralized intelligence at the edge. The introduction sets the stage by outlining the growing significance of edge computing in enabling real-time data processing and decision-making, fostering a more responsive and efficient global landscape. The chapter delves into the fundamentals of edge computing, elucidating how it brings computational capabilities and data storage closer to the source of information. Emphasis is placed on the advantages of edge computing, including reduced latency, increased bandwidth efficiency, and enhanced privacy, setting the foundation for the subsequent exploration of decentralized AI. Examining the decentralized nature of AI at the edge, the chapter illuminates how the distribution of AI capabilities across diverse devices and systems contributes to more efficient and responsive applications. Practical applications across various industries are explored, showcasing the adaptability of decentralized intelligence in contexts such as smart cities, healthcare, and manufacturing.