Edge AI: A survey

被引：5
作者：
Singh R. [1 ]
Gill S.S. [2 ]
机构：
[1] Department of Computer Science, University of Bath, Bath
[2] School of Electronic Engineering and Computer Science, Queen Mary University of London, London
来源：
Internet of Things and Cyber-Physical Systems | 2023年 / 3卷
关键词：
Artificial intelligence; Cloud computing; Edge AI; Edge computing; Fog computing; Machine learning;
D O I：
10.1016/j.iotcps.2023.02.004
中图分类号：
学科分类号：
摘要：
Artificial Intelligence (AI) at the edge is the utilization of AI in real-world devices. Edge AI refers to the practice of doing AI computations near the users at the network's edge, instead of centralised location like a cloud service provider's data centre. With the latest innovations in AI efficiency, the proliferation of Internet of Things (IoT) devices, and the rise of edge computing, the potential of edge AI has now been unlocked. This study provides a thorough analysis of AI approaches and capabilities as they pertain to edge computing, or Edge AI. Further, a detailed survey of edge computing and its paradigms including transition to Edge AI is presented to explore the background of each variant proposed for implementing Edge Computing. Furthermore, we discussed the Edge AI approach to deploying AI algorithms and models on edge devices, which are typically resource-constrained devices located at the edge of the network. We also presented the technology used in various modern IoT applications, including autonomous vehicles, smart homes, industrial automation, healthcare, and surveillance. Moreover, the discussion of leveraging machine learning algorithms optimized for resource-constrained environments is presented. Finally, important open challenges and potential research directions in the field of edge computing and edge AI have been identified and investigated. We hope that this article will serve as a common goal for a future blueprint that will unite important stakeholders and facilitates to accelerate development in the field of Edge AI. © 2023 The Authors
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收藏
页码：71 / 92
页数：21
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