Edge AI: Convergence of Edge Computing and Artificial Intelligence

Edge AI: Convergence of Edge Computing and Artificial Intelligence
By 作者:Xiaofei Wang (Author), Yiwen Han (Author), Victor C. M. Leung (Author), Dusit Niyato (Author), Xueqiang Yan (Author)
Hardcover : 149 pages
ISBN-10 : 9811561850
ISBN-13 : 9789811561856
Publisher Finelybook 出版社 : Springer; 1st ed. 2020 Edition (1 Sept. 2020)
Language 语言: : English
The Book Description robot was collected from Amazon and arranged by Finelybook
As an important enabler for changing people’s lives, advances in artificial intelligence (AI)-based applications and services are on the rise, despite being hindered By 作者:efficiency and latency issues. By focusing on deep learning as the most representative technique of AI, this book provides a comprehensive overview of how AI services are being applied to the network edge near the data sources, and demonstrates how AI and edge computing can be mutually beneficial. To do so, it introduces and discusses: 1) edge intelligence and intelligent edge; and 2) their implementation methods and enabling technologies, namely AI training and inference in the customized edge computing framework. Gathering essential information previously scattered across the communication, networking, and AI areas, the book can help readers to understand the connections between key enabling technologies, e.g. a) AI applications in edge; b) AI inference in edge; c) AI training for edge; d) edge computing for AI; and e) using AI to optimize edge. After identifying these five aspects, which are essential for the fusion of edge computing and AI, it discusses current challenges and outlines future trends in achieving more pervasive and fine-grained intelligence with the aid of edge computing.

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