Shulph Ink
Edge Computational Intelligence for AI-Enabled IoT Systems
Edge Computational Intelligence for AI-Enabled IoT Systems
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- More about Edge Computational Intelligence for AI-Enabled IoT Systems
Edge computational intelligence is an interface between edge computing and artificial intelligence (AI) technologies, enabling a broad range of applications and customer-friendly solutions. It benefits from ultra-low latency, faster response times, lower bandwidth costs, and resilience from network failure. The book discusses the advantages of systems and applications using intelligent IoT devices at the edge of a network, including how to make the most of edge and cloud computing as complementary technologies.
Format: Hardback
Length: 328 pages
Publication date: 26 February 2024
Publisher: Taylor & Francis Ltd
Edge computational intelligence is a groundbreaking interface that seamlessly blends edge computing and artificial intelligence (AI) technologies, heralding a transformative shift in the world of work. By enabling a wide range of application areas and user-friendly solutions, this interfacing represents a paradigm shift that empowers businesses to unlock new opportunities and enhance their operations. While edge computational intelligence technologies are still in their early stages of development, they hold immense potential for growth and innovation.
Edge Computational Intelligence for AI-Enabled IoT Systems delves into the trends and advancements in edge computing and edge AI, exploring the services they provide, the security and privacy concerns associated with them, the training algorithms employed, the architectural frameworks, and the development of sustainable AI-enabled IoT systems. This comprehensive book offers valuable insights into the advantages of leveraging intelligent IoT devices located at the edge of networks, close to users. It explains how to maximize the benefits of edge and cloud computing as complementary technologies or in isolation for extensive and widespread applications.
The convergence of IoT devices, networking infrastructure, parallel computation, and 5G technologies has paved the way for the widespread adoption of edge computational intelligence. The book begins by examining the range of Edge AI services available, comparing them to conventional systems. It then delves into the challenges and solutions related to security and privacy in the implementation and execution of edge AI and computing services. The book concludes with chapters that explore diverse applications across various areas of edge AI and edge computing, as well as the role of computational intelligence in AI-driven IoT systems.
In conclusion, edge computational intelligence is a transformative technology that holds immense promise for the future of computing and AI. By bridging the gap between edge computing and AI, it enables businesses to deliver faster, more efficient, and more personalized services to their customers. While the technologies are still in their early stages, they are rapidly evolving, and the opportunities they present are limitless. As we continue to witness the growth and development of edge computational intelligence, we can expect to see it play a pivotal role in shaping the future of industries and societies.
Weight: 800g
Dimension: 234 x 156 (mm)
ISBN-13: 9781032207667
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