边缘智能：现状和展望

doi:10.11959/j.issn.2096-0271.2019025

Abstract

Abstract:

Edge intelligence (EI,which merges artificial intelligence (AI) into edge computing and deploys AI methods on edge devices) is regarded as a very efficient measure to provide faster and better intelligent services,having been successfully applied to various fields.However,current EI faces great difficulties.Firstly,a brief introduction to EI was given,and then,three challenges in EI were summarized.Finally,current five research directions for solving the EI challenges were outlined.The paper was expected to provide a better understanding for people who want to know EI,and help for researchers who study EI to have an overall direction guideline.

Key words: edge computing, artificial intelligence, edge intelligence

CLC Number:

TP39

Kenli LI, Chubo LIU. Edge intelligence:state-of-the-art and expectations[J]. Big Data Research, 2019, 5(3): 69-75.

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References 21

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