Opportunities for neuromorphic computing algorithms and applications

Schuman, Catherine D.; Kulkarni, Shruti R.; Parsa, Maryam; Mitchell, J. Parker; Date, Prasanna; Kay, Bill

doi:10.1038/s43588-021-00184-y

Title: Opportunities for neuromorphic computing algorithms and applications

Journal Article · 31 January 2022 · Nature Computational Science

DOI: https://doi.org/10.1038/s43588-021-00184-y · OSTI ID:1881146

^[1];

^[2]; Parsa, Maryam ^[3]; Mitchell, J. Parker ^[2];

^[2]; Kay, Bill ^[2]

Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Univ. of Tennessee, Knoxville, TN (United States)
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); George Mason Univ., Fairfax, VA (United States)

Neuromorphic computing technologies will be important for the future of computing, but much of the work in neuromorphic computing has focused on hardware development. In this study, 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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Research Organization:: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States); Univ. of Tennessee, Knoxville, TN (United States)

Sponsoring Organization:: USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR)

Grant/Contract Number:: AC05-00OR22725; SC0022566

OSTI ID:: 1881146

Journal Information:: Nature Computational Science, Journal Name: Nature Computational Science Journal Issue: 1 Vol. 2; ISSN 2662-8457

Publisher:: Springer NatureCopyright Statement

Country of Publication:: United States

Language:: English

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