Opportunities for neuromorphic computing algorithms and applications

被引：450
作者：
Schuman, Catherine D. [1 ,2 ]
Kulkarni, Shruti R. [1 ]
Parsa, Maryam [1 ,3 ]
Mitchell, J. Parker [1 ]
Date, Prasanna [1 ]
Kay, Bill [1 ]
机构：
[1] Oak Ridge Natl Lab, Comp Sci & Math Div, Oak Ridge, TN USA
[2] Univ Tennessee, Dept Elect Engn & Comp Sci, Knoxville, TN USA
[3] George Mason Univ, Dept Elect & Comp Engn, Fairfax, VA USA
来源：
NATURE COMPUTATIONAL SCIENCE | 2022年 / 2卷 / 01期
关键词：
NEURAL-NETWORK ARCHITECTURE; COMMUNICATION; OPTIMIZATION; COMPUTATION; CIRCUIT; NEUCUBE; LOIHI; POWER;
D O I：
10.1038/s43588-021-00184-y
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Neuromorphic computing technologies will be important for the future of computing, but much of the work in neuromorphic computing has focused on hardware development. Here, we review recent results in neuromorphic computing algorithms and applications. We highlight characteristics of neuromorphic computing technologies that make them attractive for the future of computing and we discuss opportunities for future development of algorithms and applications on these systems.
引用
收藏
页码：10 / 19
页数：10
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