Edge intelligence:state-of-the-art and expectations

Kenli LI; Chubo LIU

doi:10.11959/j.issn.2096-0271.2019025

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Edge intelligence:state-of-the-art and expectations

STUDY | 更新时间：2024-06-03

- Edge intelligence:state-of-the-art and expectations
- Big Data Research Vol. 5, Issue 3, Pages: 2019025-1(2019)
- 作者机构：
  
  1. 湖南大学信息科学与工程学院，湖南长沙 410082
  2. 国家超级计算长沙中心，湖南长沙 410082
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.2096-0271.2019025
  CLC： TP39
- Online First：2019-05，
  
  Published：15 May 2019
- 稿件说明：
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Kenli LI, Chubo LIU. Edge intelligence:state-of-the-art and expectations[J]. Big Data Research, 2019, 5(3): 2019025-1.
DOI：

Kenli LI, Chubo LIU. Edge intelligence:state-of-the-art and expectations[J]. Big Data Research, 2019, 5(3): 2019025-1. DOI： 10.11959/j.issn.2096-0271.2019025.

摘要

边缘智能（即将人工智能融入边缘计算，部署在边缘设备）作为更快更好地提供智能服务的一种服务模式，已逐渐渗入各行各业。然而，当前边缘智能面临着巨大挑战。首先简要介绍了边缘智能的起源与概念；然后总结了边缘智能面临的三大挑战；最后，概括了当前针对边缘智能挑战的5个研究方向。为相关读者了解边缘智能和相关人员研究边缘智能提供一定的参考。

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.

关键词

Keywords

references

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