Neuromorphic Photonics for Deep Learning

V. Bangari; B. A. Marquez; A. N. Tait; M. A. Nahmias; T. Ferreira De Lima; H. T. Peng; P. R. Prucnal; B. J. Shastri

doi:10.1109/IPCon.2019.8908375

Neuromorphic Photonics for Deep Learning

V. Bangari, B. A. Marquez, A. N. Tait, M. A. Nahmias, T. Ferreira De Lima, H. T. Peng, P. R. Prucnal, B. J. Shastri

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Scopus citations

Abstract

Co-integrated neuromorphic photonic and electronic processors promise orders of magnitude improvements in both speed and energy efficiency over purely digital electronic approaches. We discuss neuromorphic photonic systems and their application to deep convolutional neural networks inference.

Original language	English (US)
Title of host publication	2019 IEEE Photonics Conference, IPC 2019 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728106151
DOIs	https://doi.org/10.1109/IPCon.2019.8908375
State	Published - Sep 2019
Event	2019 IEEE Photonics Conference, IPC 2019 - San Antonio, United States Duration: Sep 29 2019 → Oct 3 2019

Publication series

Name	2019 IEEE Photonics Conference, IPC 2019 - Proceedings

Conference

Conference	2019 IEEE Photonics Conference, IPC 2019
Country/Territory	United States
City	San Antonio
Period	9/29/19 → 10/3/19

All Science Journal Classification (ASJC) codes

Atomic and Molecular Physics, and Optics
Instrumentation
Signal Processing
Electrical and Electronic Engineering
Electronic, Optical and Magnetic Materials

Access to Document

10.1109/IPCon.2019.8908375

Cite this

Bangari, V., Marquez, B. A., Tait, A. N., Nahmias, M. A., De Lima, T. F., Peng, H. T., Prucnal, P. R., & Shastri, B. J. (2019). Neuromorphic Photonics for Deep Learning. In 2019 IEEE Photonics Conference, IPC 2019 - Proceedings Article 8908375 (2019 IEEE Photonics Conference, IPC 2019 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IPCon.2019.8908375

@inproceedings{d2d54f3aae104233a6017dc9c02cf346,

title = "Neuromorphic Photonics for Deep Learning",

abstract = "Co-integrated neuromorphic photonic and electronic processors promise orders of magnitude improvements in both speed and energy efficiency over purely digital electronic approaches. We discuss neuromorphic photonic systems and their application to deep convolutional neural networks inference.",

author = "V. Bangari and Marquez, {B. A.} and Tait, {A. N.} and Nahmias, {M. A.} and {De Lima}, {T. Ferreira} and Peng, {H. T.} and Prucnal, {P. R.} and Shastri, {B. J.}",

year = "2019",

month = sep,

doi = "10.1109/IPCon.2019.8908375",

language = "English (US)",

series = "2019 IEEE Photonics Conference, IPC 2019 - Proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2019 IEEE Photonics Conference, IPC 2019 - Proceedings",

address = "United States",

note = "2019 IEEE Photonics Conference, IPC 2019 ; Conference date: 29-09-2019 Through 03-10-2019",

}

Bangari, V, Marquez, BA, Tait, AN, Nahmias, MA, De Lima, TF, Peng, HT, Prucnal, PR & Shastri, BJ 2019, Neuromorphic Photonics for Deep Learning. in 2019 IEEE Photonics Conference, IPC 2019 - Proceedings., 8908375, 2019 IEEE Photonics Conference, IPC 2019 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 2019 IEEE Photonics Conference, IPC 2019, San Antonio, United States, 9/29/19. https://doi.org/10.1109/IPCon.2019.8908375

TY - GEN

T1 - Neuromorphic Photonics for Deep Learning

AU - Bangari, V.

AU - Marquez, B. A.

AU - Tait, A. N.

AU - Nahmias, M. A.

AU - De Lima, T. Ferreira

AU - Peng, H. T.

AU - Prucnal, P. R.

AU - Shastri, B. J.

PY - 2019/9

Y1 - 2019/9

N2 - Co-integrated neuromorphic photonic and electronic processors promise orders of magnitude improvements in both speed and energy efficiency over purely digital electronic approaches. We discuss neuromorphic photonic systems and their application to deep convolutional neural networks inference.

AB - Co-integrated neuromorphic photonic and electronic processors promise orders of magnitude improvements in both speed and energy efficiency over purely digital electronic approaches. We discuss neuromorphic photonic systems and their application to deep convolutional neural networks inference.

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UR - http://www.scopus.com/inward/citedby.url?scp=85075898792&partnerID=8YFLogxK

U2 - 10.1109/IPCon.2019.8908375

DO - 10.1109/IPCon.2019.8908375

M3 - Conference contribution

T3 - 2019 IEEE Photonics Conference, IPC 2019 - Proceedings

BT - 2019 IEEE Photonics Conference, IPC 2019 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2019 IEEE Photonics Conference, IPC 2019

Y2 - 29 September 2019 through 3 October 2019

ER -

Neuromorphic Photonics for Deep Learning

Abstract

Publication series

Conference

All Science Journal Classification (ASJC) codes

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