Back to Search Start Over

Neuromemristive Circuits for Edge Computing: A Review.

Authors :
Krestinskaya, Olga
James, Alex Pappachen
Chua, Leon Ong
Source :
IEEE Transactions on Neural Networks & Learning Systems. Jan2020, Vol. 31 Issue 1, p4-23. 20p.
Publication Year :
2020

Abstract

The volume, veracity, variability, and velocity of data produced from the ever increasing network of sensors connected to Internet pose challenges for power management, scalability, and sustainability of cloud computing infrastructure. Increasing the data processing capability of edge computing devices at lower power requirements can reduce several overheads for cloud computing solutions. This paper provides the review of neuromorphic CMOS-memristive architectures that can be integrated into edge computing devices. We discuss why the neuromorphic architectures are useful for edge devices and show the advantages, drawbacks, and open problems in the field of neuromemristive circuits for edge computing. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
2162237X
Volume :
31
Issue :
1
Database :
Academic Search Index
Journal :
IEEE Transactions on Neural Networks & Learning Systems
Publication Type :
Periodical
Accession number :
141082801
Full Text :
https://doi.org/10.1109/TNNLS.2019.2899262