Powering next-generation industry 4.0 by a self-learning and low-power neuromorphic system

Hongyu An, D. Ha, Y. Yi
{"title":"Powering next-generation industry 4.0 by a self-learning and low-power neuromorphic system","authors":"Hongyu An, D. Ha, Y. Yi","doi":"10.1145/3411295.3411302","DOIUrl":null,"url":null,"abstract":"With the continuous development of technologies, our society is approaching the next stage of industrialization. The Fourth Industrial Revolution also referred to as Industry 4.0, redefines the manufacturing system as a smart and connected machinery system with fully autonomous operation capability. Several advanced cutting-edge technologies, such as cyber-physical systems (CPS), internet of things (IoT), and artificial intelligence, are believed as the essential components to realize Industry 4.0. In this paper, we focus on a comprehensive review of how artificial intelligence benefits Industry 4.0, including potential challenges and possible solutions. A panoramic introduction of neuromorphic computing is provided, which is one of the most promising and attractive research directions in artificial intelligence. Subsequently, we introduce the vista of the neuromorphic-powered Industry 4.0 system and survey a few research activities on applications of artificial neural networks for IoT.","PeriodicalId":93611,"journal":{"name":"Proceedings of the 7th ACM International Conference on Nanoscale Computing and Communication : Virtual Conference, September 23-25, 2020 : NanoCom 2020. ACM International Conference on Nanoscale Computing and Communication (7th : 2020 :...","volume":"534 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2020-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 7th ACM International Conference on Nanoscale Computing and Communication : Virtual Conference, September 23-25, 2020 : NanoCom 2020. ACM International Conference on Nanoscale Computing and Communication (7th : 2020 :...","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3411295.3411302","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6

Abstract

With the continuous development of technologies, our society is approaching the next stage of industrialization. The Fourth Industrial Revolution also referred to as Industry 4.0, redefines the manufacturing system as a smart and connected machinery system with fully autonomous operation capability. Several advanced cutting-edge technologies, such as cyber-physical systems (CPS), internet of things (IoT), and artificial intelligence, are believed as the essential components to realize Industry 4.0. In this paper, we focus on a comprehensive review of how artificial intelligence benefits Industry 4.0, including potential challenges and possible solutions. A panoramic introduction of neuromorphic computing is provided, which is one of the most promising and attractive research directions in artificial intelligence. Subsequently, we introduce the vista of the neuromorphic-powered Industry 4.0 system and survey a few research activities on applications of artificial neural networks for IoT.
通过自我学习和低功耗神经形态系统为下一代工业4.0提供动力
随着科技的不断发展,我们的社会正在接近工业化的下一个阶段。第四次工业革命也被称为工业4.0,它将制造系统重新定义为具有完全自主操作能力的智能互联机械系统。一些先进的尖端技术,如网络物理系统(CPS)、物联网(IoT)和人工智能,被认为是实现工业4.0的重要组成部分。在本文中,我们将重点全面回顾人工智能如何使工业4.0受益,包括潜在的挑战和可能的解决方案。神经形态计算是人工智能中最有前途和最具吸引力的研究方向之一。随后,我们介绍了神经形态驱动的工业4.0系统的前景,并概述了人工神经网络在物联网应用方面的一些研究活动。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信