Edge Computational Intelligence by Shrikaant Kulkarni (.PDF)

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File Size: 33.7 MB

Edge Computational Intelligence for AI-Enabled IoT Systems by Shrikaant Kulkarni, Jaiprakash Narain Dwivedi, Dinda Pramanta, Yuichiro Tanaka
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Overview: Edge computational intelligence is an interface between Edge Computing and Artificial Intelligence (AI) technologies. This interfacing represents a paradigm shift in the world of work by enabling a broad application areas and customer-friendly solutions. Edge computational intelligence technologies are just in their infancy. Edge Computational Intelligence for AI-Enabled IoT Systems looks at the trends and advances in edge computing and edge AI, the services rendered by them, related security and privacy issues, training algorithms, architectures, and sustainable AI-enabled IoT systems. Together, these technologies benefit from ultra-low latency, faster response times, lower bandwidth costs and resilience from network failure, and the book explains the advantages of systems and applications using intelligent IoT devices that are at the edge of a network and close to users. It explains how to make most of edge and cloud computing as complementary technologies or used in isolation for extensive and widespread applications. The advancement in IoT devices, networking facilities, parallel computation and 5G, and robust infrastructure for generalized machine learning have made it possible to employ edge computational intelligence in diverse areas and in diverse ways.
Genre: Non-Fiction > Tech & Devices

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