Edge Intelligence-On the Challenging Road to a Trillion Smart Connected IoT Devices Moving Artificial Intelligence from the Cloud Down to the Edge

被引：52

作者：

Keshavarzi, Ali ^{[1
,2
]}

van den Hoek, Wilbert ^{[2
]}

机构：

[1] Stanford Univ, Stanford, CA 94305 USA

[2] Leading Edge Res, Los Altos, CA USA

来源：

IEEE DESIGN & TEST | 2019年 / 36卷 / 02期

关键词：

Edge intelligence - Purdue University;

D O I：

10.1109/MDAT.2019.2899075

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Editor's note: This article provides an industry and government perspective to the problem of intelligence resource constrained IoT nodes and presents the vision of the future and important technologies that might play a strong role in enabling the vision of trillion smart connected sensors.-Shreyas Sen, Purdue University. © 2013 IEEE.

引用

页码：41 / 64

页数：24