Opportunities for neuromorphic computing algorithms and applications

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

doi:10.1038/s43588-021-00184-y

Opportunities for neuromorphic computing algorithms and applications

Nat Comput Sci. 2022 Jan;2(1):10-19. doi: 10.1038/s43588-021-00184-y. Epub 2022 Jan 31.

Authors

Catherine D Schuman^{1

2}, Shruti R Kulkarni³, Maryam Parsa^{3

4}, J Parker Mitchell³, Prasanna Date³, Bill Kay³

Affiliations

¹ Computer Science and Mathematics Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA. cschuman@utk.edu.
² Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, TN, USA. cschuman@utk.edu.
³ Computer Science and Mathematics Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA.
⁴ Department of Electrical and Computer Engineering, George Mason University, Fairfax, VA, USA.

PMID: 38177712
DOI: 10.1038/s43588-021-00184-y

Abstract

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.

Publication types

Review