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

S. R. Nandakumar; Shruti R. Kulkarni; Anakha V. Babu; Bipin Rajendran

doi:10.1109/MNANO.2018.2845078

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

S. R. Nandakumar, Shruti R. Kulkarni, Anakha V. Babu, Bipin Rajendran

Research output: Contribution to journal › Article › peer-review

29 Scopus citations

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.

Original language	English
Article number	8438410
Pages (from-to)	19-35
Number of pages	17
Journal	IEEE Nanotechnology Magazine
Volume	12
Issue number	3
DOIs	https://doi.org/10.1109/MNANO.2018.2845078
State	Published - Sep 2018
Externally published	Yes

Funding

this work was supported in part by the campusense project grant from cisco systems inc., the semiconductor research corporation, and the nation al science Foundation grant 1710009. s. r. nandakumar gratefully acknowl edges iBm research Zurich for hosting him as a research intern at the time this article was written.

Funders	Funder number
National Science Foundation	1710009
Semiconductor Research Corporation
nation al science Foundation

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

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