December 2025
Intermediate to advanced
656 pages
16h 47m
English
Content preview from Edge Artificial Intelligence
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1Edge AI Demystified: From Its Origins to Future Frontiers
Preeti Agarwal1*, Anchit Bijalwan2, Ayesha Patel1, Atharv Amit Deshpande1 and Vidhi Panchal1
1School of Technology Management & Engineering, Narsee Monjee Institute of Management Studies (Deemed to-be University), Navi Mumbai, Maharashtra, India
2School of Computing and Innovative Technologies, British Vietnam University, Hanoi, Vietnam
Abstract
Edge AI is the new paradigm for artificial intelligence and computing that brings the processing of data much closer to its source, including IoT devices, smartphones, and sensors, rather than sending it to the traditional cloud systems. The key benefits of this decentralized approach include lower latency, better privacy, energy efficiency, and challenges that exist with centralized cloud architectures. The evolution of Edge AI comes from its development in edge computing, mobile access edge computing, and fog computing, together with the rise of both 5G and IoT devices. The combination of lightweight AI models with edge devices enables Edge AI to offer the possibility of having real-time decision-making and autonomy in industries that were once unimaginable, such as healthcare, transportation, and smart cities. Despite its huge potential, Edge AI faces several challenges, including resource constraints, security vulnerabilities, and interoperability challenges. Those will be solved only through the collaboration of researchers, industry leaders, and policymakers. This chapter ...
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