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Opportunities for neuromorphic computing algorithms and applications

delete2022-01-31
delete392
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OA
AI
C
Catherine D. Schuman *
S
Shruti Kulkarni
M
Maryam Parsa
J
J. Parker Mitchell
P
Prasanna Date
B
Bill Kay
DOI:10.1038/s43588-021-00184-ydelete
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Abstract

Abstract

En 中文
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.
Keywords:
NEURAL-NETWORK ARCHITECTURE
COMMUNICATION
OPTIMIZATION
COMPUTATION
CIRCUIT
NEUCUBE
LOIHI
POWER

Journal

Nature Computational Science cover
Nature Computational Science
IF:
18.3
Papers:
3.1K
Citations:
4.0K

Organization

U
united states department of energy (doe)
Scholars:
11.3W
Papers: 9.6W
Citations: 246