The development of general-purpose brain-inspired computing

被引：0
|
作者：
Zhang, Weihao [1 ,2 ,3 ,4 ,5 ]
Ma, Songchen [1 ,2 ,3 ,4 ,5 ]
Ji, Xinglong [1 ,2 ,3 ,4 ,5 ]
Liu, Xue [1 ,2 ,3 ,4 ,5 ]
Cong, Yuqing [1 ,6 ]
Shi, Luping [1 ,2 ,3 ,4 ,5 ]
机构：
[1] Tsinghua Univ, Ctr Brain inspired Comp Res CBICR, Beijing, Peoples R China
[2] Tsinghua Univ, Dept Precis Instruments, Beijing, Peoples R China
[3] Tsinghua Univ, Opt Memory Natl Engn Res Ctr, Beijing, Peoples R China
[4] Tsinghua Univ, Joint Res Ctr Brian inspired Comp, China Elect Technol HIK Grp Co, Beijing, Peoples R China
[5] Tsinghua Univ, IDG McGovern Inst Brain Res, Beijing, Peoples R China
[6] Tsinghua Univ, Dept Comp Sci & Technol, Beijing, Peoples R China
来源：
NATURE ELECTRONICS | 2024年 / 7卷 / 11期
关键词：
ON-CHIP; SYSTEM; MEMORY; ARCHITECTURE; INTELLIGENCE; COMPUTATION; SPINNAKER; NETWORK; MODELS; LOIHI;
D O I：
10.1038/s41928-024-01277-y
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
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. This Perspective explores the development of general-purpose brain-inspired computing, considers the potential of combining specific approaches from neuroscience and computer science, and discusses the initiatives that will be needed to develop such systems.
引用
收藏
页码：954 / 965
页数：12
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