Building brain-inspired computing systems: Examining the role of nanoscale devices

Document Type

Article

Publication Date

9-1-2018

Abstract

Brain-inspired computing is attracting considerable attention because of its potential to solve a wide variety of data-intensive problems that are difficult for even state-of-the-art supercomputers to tackle. The ability of the human brain to process visual and audio inputs in real time and make complex logical decisions by consuming a mere 20 W makes it the most power-efficient computational engine known to man. While state-of-the-art digital complimentary metal-oxide-semiconductor (CMOS) technology permits the realization of individual devices and circuits that mimic the dynamics of neurons and synapses in the brain, emulating the immense parallelism and event-driven computational architecture in systems with comparable complexity and power budget as the brain, and in real time, remains a formidable challenge.

Identifier

85051771088 (Scopus)

Publication Title

IEEE Nanotechnology Magazine

External Full Text Location

https://doi.org/10.1109/MNANO.2018.2845078

e-ISSN

19427808

ISSN

19324510

First Page

19

Last Page

35

Issue

3

Volume

12

Grant

1710009

Fund Ref

National Science Foundation

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