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Titlebook: Edge AI; Convergence of Edge Xiaofei Wang,Yiwen Han,Xu Chen Book 2020 The Editor(s) (if applicable) and The Author(s), under exclusive lic

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樓主
發(fā)表于 2025-3-21 18:44:19 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Edge AI
副標(biāo)題Convergence of Edge
編輯Xiaofei Wang,Yiwen Han,Xu Chen
視頻videohttp://file.papertrans.cn/303/302225/302225.mp4
概述Reviews the latest research, developments and practices concerning edge intelligence and intelligent edge.Helps readers to understand the connections between enabling technologies for edge computing a
圖書封面Titlebook: Edge AI; Convergence of Edge  Xiaofei Wang,Yiwen Han,Xu Chen Book 2020 The Editor(s) (if applicable) and The Author(s), under exclusive lic
描述As an important enabler for changing people’s lives, advances in arti?cial intelligence (AI)-based applications and services are on the rise, despite being hindered by ef?ciency 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 mor
出版日期Book 2020
關(guān)鍵詞Edge computing; Fog computing; Edge intelligence; Intelligent edge; Deep learning; Machine learning; Artif
版次1
doihttps://doi.org/10.1007/978-981-15-6186-3
isbn_softcover978-981-15-6188-7
isbn_ebook978-981-15-6186-3
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
The information of publication is updating

書目名稱Edge AI影響因子(影響力)




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書目名稱Edge AI網(wǎng)絡(luò)公開度學(xué)科排名




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沙發(fā)
發(fā)表于 2025-3-21 23:08:14 | 只看該作者
Edge Computing for Artificial Intelligenceffloading of AI computation; (3) well-designed edge computing frameworks can better maintain AI services running on the edge; (4) fair platforms for evaluating Edge AI performance help further evolve the above implementations.
板凳
發(fā)表于 2025-3-22 02:03:55 | 只看該作者
https://doi.org/10.1007/978-0-387-79918-6ased on these information, (2) DRL can be applied to learn the long-term optimal resource management and task scheduling strategies, so as to achieve the intelligent management of the edge, viz. intelligent edge as shown in Tables 8.1, 8.2, and 8.3.
地板
發(fā)表于 2025-3-22 06:10:03 | 只看該作者
5#
發(fā)表于 2025-3-22 12:33:11 | 只看該作者
nnections between enabling technologies for edge computing aAs an important enabler for changing people’s lives, advances in arti?cial intelligence (AI)-based applications and services are on the rise, despite being hindered by ef?ciency and latency issues. By focusing on deep learning as the most r
6#
發(fā)表于 2025-3-22 14:02:25 | 只看該作者
Language-Related and Learning Disordersunder the multiple constraints of networking, communication, computing power, and energy consumption, how to devise and develop edge computing architecture to achieve the best performance of AI training and inference.
7#
發(fā)表于 2025-3-22 19:54:38 | 只看該作者
Cementing ‘Child First’ in Practiceated technologies, and its development trend will also be the integration of other technologies. Among them, the combination of artificial intelligence technology and edge computing is an important development direction, and there is huge room for development in the future whether intelligent edge or edge intelligence.
8#
發(fā)表于 2025-3-22 21:30:29 | 只看該作者
Child Health in a Changing Environmentg, because cloud computing can process some computation-intensive tasks that edge devices cannot deal with, relying on its rich computing power and storage resources. Therefore, the combination of cloud computing and edge computing can satisfy the requirements of more diverse application scenarios and bring a more convenient experience to users.
9#
發(fā)表于 2025-3-23 03:01:26 | 只看該作者
10#
發(fā)表于 2025-3-23 09:28:08 | 只看該作者
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