期刊
NATURE COMPUTATIONAL SCIENCE
卷 2, 期 1, 页码 10-19出版社
SPRINGERNATURE
DOI: 10.1038/s43588-021-00184-y
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资金
- US Department of Energy, Office of Science, Office of Advanced Scientific Computing Research [DE-AC05-00OR22725]
This article reviews recent advances in neuromorphic computing algorithms and applications, highlighting their attractive characteristics for the future of computing. The authors also discuss opportunities for future development of algorithms and applications on these systems.
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.
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