找回密碼
 To register

QQ登錄

只需一步,快速開(kāi)始

掃一掃,訪(fǎng)問(wèn)微社區(qū)

打印 上一主題 下一主題

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

[復(fù)制鏈接]
查看: 21976|回復(fù): 39
樓主
發(fā)表于 2025-3-21 18:44:19 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)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(shū)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(shū)目名稱(chēng)Edge AI影響因子(影響力)




書(shū)目名稱(chēng)Edge AI影響因子(影響力)學(xué)科排名




書(shū)目名稱(chēng)Edge AI網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱(chēng)Edge AI網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱(chēng)Edge AI被引頻次




書(shū)目名稱(chēng)Edge AI被引頻次學(xué)科排名




書(shū)目名稱(chēng)Edge AI年度引用




書(shū)目名稱(chēng)Edge AI年度引用學(xué)科排名




書(shū)目名稱(chēng)Edge AI讀者反饋




書(shū)目名稱(chēng)Edge AI讀者反饋學(xué)科排名




單選投票, 共有 1 人參與投票
 

0票 0.00%

Perfect with Aesthetics

 

1票 100.00%

Better Implies Difficulty

 

0票 0.00%

Good and Satisfactory

 

0票 0.00%

Adverse Performance

 

0票 0.00%

Disdainful Garbage

您所在的用戶(hù)組沒(méi)有投票權(quán)限
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
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛(ài)論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點(diǎn)評(píng) 投稿經(jīng)驗(yàn)總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機(jī)版|小黑屋| 派博傳思國(guó)際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-23 17:20
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
麻江县| 高雄县| 铜川市| 颍上县| 海晏县| 延安市| 韩城市| 防城港市| 新巴尔虎左旗| 嘉善县| 峨边| 肇源县| 阳城县| 九龙城区| 黑河市| 巴塘县| 临安市| 玉门市| 油尖旺区| 福泉市| 永胜县| 泾源县| 万宁市| 库伦旗| 林芝县| 宁陵县| 八宿县| 防城港市| 林口县| 手机| 沙洋县| 钟祥市| 五寨县| 延川县| 醴陵市| 方城县| 祁门县| 临洮县| 拉孜县| 稻城县| 河南省|