Weihao Zhang, Songchen Ma, Xinglong Ji, Xue Liu, Yuqing Cong, Luping Shi
{"title":"通用大脑启发计算的发展","authors":"Weihao Zhang, Songchen Ma, Xinglong Ji, Xue Liu, Yuqing Cong, Luping Shi","doi":"10.1038/s41928-024-01277-y","DOIUrl":null,"url":null,"abstract":"<p>Brain-inspired computing uses insights from neuroscience to develop more efficient computing systems. The approach is of use in a broad range of applications—from neural simulation to intelligent computing—and could potentially be used to create a general-purpose computing infrastructure. Here we explore the development of general-purpose brain-inspired computing. We examine the hardware and software that have so far been used to create brain-inspired computing systems. We then consider the potential of combining approaches from neuroscience and computer science to build general-purpose brain-inspired computing systems, highlighting three areas: temporal, spatial and spatiotemporal capabilities; approximate computing and precise computing; and control flow and data flow. Finally, we discuss initiatives that will be needed to develop general-purpose brain-inspired computing, highlighting three potential strategies: application-level pattern generalization, hardware-level structural generalization and software-level systematic generalization.</p>","PeriodicalId":19064,"journal":{"name":"Nature Electronics","volume":null,"pages":null},"PeriodicalIF":33.7000,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The development of general-purpose brain-inspired computing\",\"authors\":\"Weihao Zhang, Songchen Ma, Xinglong Ji, Xue Liu, Yuqing Cong, Luping Shi\",\"doi\":\"10.1038/s41928-024-01277-y\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Brain-inspired computing uses insights from neuroscience to develop more efficient computing systems. The approach is of use in a broad range of applications—from neural simulation to intelligent computing—and could potentially be used to create a general-purpose computing infrastructure. Here we explore the development of general-purpose brain-inspired computing. We examine the hardware and software that have so far been used to create brain-inspired computing systems. We then consider the potential of combining approaches from neuroscience and computer science to build general-purpose brain-inspired computing systems, highlighting three areas: temporal, spatial and spatiotemporal capabilities; approximate computing and precise computing; and control flow and data flow. Finally, we discuss initiatives that will be needed to develop general-purpose brain-inspired computing, highlighting three potential strategies: application-level pattern generalization, hardware-level structural generalization and software-level systematic generalization.</p>\",\"PeriodicalId\":19064,\"journal\":{\"name\":\"Nature Electronics\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":33.7000,\"publicationDate\":\"2024-11-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Nature Electronics\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1038/s41928-024-01277-y\",\"RegionNum\":1,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature Electronics","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1038/s41928-024-01277-y","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
The development of general-purpose brain-inspired computing
Brain-inspired computing uses insights from neuroscience to develop more efficient computing systems. The approach is of use in a broad range of applications—from neural simulation to intelligent computing—and could potentially be used to create a general-purpose computing infrastructure. Here we explore the development of general-purpose brain-inspired computing. We examine the hardware and software that have so far been used to create brain-inspired computing systems. We then consider the potential of combining approaches from neuroscience and computer science to build general-purpose brain-inspired computing systems, highlighting three areas: temporal, spatial and spatiotemporal capabilities; approximate computing and precise computing; and control flow and data flow. Finally, we discuss initiatives that will be needed to develop general-purpose brain-inspired computing, highlighting three potential strategies: application-level pattern generalization, hardware-level structural generalization and software-level systematic generalization.
期刊介绍：
Nature Electronics is a comprehensive journal that publishes both fundamental and applied research in the field of electronics. It encompasses a wide range of topics, including the study of new phenomena and devices, the design and construction of electronic circuits, and the practical applications of electronics. In addition, the journal explores the commercial and industrial aspects of electronics research.
The primary focus of Nature Electronics is on the development of technology and its potential impact on society. The journal incorporates the contributions of scientists, engineers, and industry professionals, offering a platform for their research findings. Moreover, Nature Electronics provides insightful commentary, thorough reviews, and analysis of the key issues that shape the field, as well as the technologies that are reshaping society.
Like all journals within the prestigious Nature brand, Nature Electronics upholds the highest standards of quality. It maintains a dedicated team of professional editors and follows a fair and rigorous peer-review process. The journal also ensures impeccable copy-editing and production, enabling swift publication. Additionally, Nature Electronics prides itself on its editorial independence, ensuring unbiased and impartial reporting.
In summary, Nature Electronics is a leading journal that publishes cutting-edge research in electronics. With its multidisciplinary approach and commitment to excellence, the journal serves as a valuable resource for scientists, engineers, and industry professionals seeking to stay at the forefront of advancements in the field.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
