Photonics for Neuromorphic Computing and Artificial Intelligence

B. J. Shastri; C. Huang; A. N. Tait; P. R. Prucnal

Photonics for Neuromorphic Computing and Artificial Intelligence

B. J. Shastri, C. Huang, A. N. Tait, P. R. Prucnal

Research output: Contribution to journal › Conference article › peer-review

Abstract

Neuromorphic photonics exploit optical device physics for neuron models, and optical interconnects for distributed, parallel, and analog processing for high-bandwidth, low-latency and low switching energy applications in artificial intelligence and neuromorphic computing.

Original language	English (US)
Article number	W3B.3
Journal	Optics InfoBase Conference Papers
State	Published - 2021
Event	Photonics in Switching and Computing, PSC 2021 - Virtual, Online, United States Duration: Sep 27 2021 → Sep 29 2021

All Science Journal Classification (ASJC) codes

Electronic, Optical and Magnetic Materials
Mechanics of Materials

Cite this

@article{fc6958649d864c6b92aee5cdd3343120,

title = "Photonics for Neuromorphic Computing and Artificial Intelligence",

abstract = "Neuromorphic photonics exploit optical device physics for neuron models, and optical interconnects for distributed, parallel, and analog processing for high-bandwidth, low-latency and low switching energy applications in artificial intelligence and neuromorphic computing.",

author = "Shastri, {B. J.} and C. Huang and Tait, {A. N.} and Prucnal, {P. R.}",

note = "Publisher Copyright: {\textcopyright}2021 The Author (s).; Photonics in Switching and Computing, PSC 2021 ; Conference date: 27-09-2021 Through 29-09-2021",

year = "2021",

language = "English (US)",

journal = "Optics InfoBase Conference Papers",

issn = "2162-2701",

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TY - JOUR

T1 - Photonics for Neuromorphic Computing and Artificial Intelligence

AU - Shastri, B. J.

AU - Huang, C.

AU - Tait, A. N.

AU - Prucnal, P. R.

PY - 2021

Y1 - 2021

N2 - Neuromorphic photonics exploit optical device physics for neuron models, and optical interconnects for distributed, parallel, and analog processing for high-bandwidth, low-latency and low switching energy applications in artificial intelligence and neuromorphic computing.

AB - Neuromorphic photonics exploit optical device physics for neuron models, and optical interconnects for distributed, parallel, and analog processing for high-bandwidth, low-latency and low switching energy applications in artificial intelligence and neuromorphic computing.

UR - http://www.scopus.com/inward/record.url?scp=85120560480&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85120560480&partnerID=8YFLogxK

M3 - Conference article

AN - SCOPUS:85120560480

SN - 2162-2701

JO - Optics InfoBase Conference Papers

JF - Optics InfoBase Conference Papers

M1 - W3B.3

T2 - Photonics in Switching and Computing, PSC 2021

Y2 - 27 September 2021 through 29 September 2021

ER -

Photonics for Neuromorphic Computing and Artificial Intelligence

Abstract

All Science Journal Classification (ASJC) codes

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