Neuromorphic Photonics: Current Status and Challenges

Paul R. Prucnal; Thomas Ferrieira De Lima; Chaoran Huang; Bicky A. Marquez; Bhavin J. Shastri

doi:10.1109/ECOC48923.2020.9333362

Neuromorphic Photonics: Current Status and Challenges

Paul R. Prucnal, Thomas Ferrieira De Lima, Chaoran Huang, Bicky A. Marquez, Bhavin J. Shastri

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

2 Scopus citations

Abstract

Artificial intelligence and neuromorphic computing driven by neural networks has enabled many applications. Software implementations of neural networks on electronic platforms are limited in speed and energy efficiency. Neuromorphic photonics aims to build processors in which optical hardware mimic neural networks in the brain.

Original language	English (US)
Title of host publication	2020 European Conference on Optical Communications, ECOC 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728173610
DOIs	https://doi.org/10.1109/ECOC48923.2020.9333362
State	Published - Dec 2020
Event	46th European Conference on Optical Communications, ECOC 2020 - Virtual, Brussels, Belgium Duration: Dec 6 2020 → Dec 10 2020

Publication series

Name	2020 European Conference on Optical Communications, ECOC 2020

Conference

Conference	46th European Conference on Optical Communications, ECOC 2020
Country/Territory	Belgium
City	Virtual, Brussels
Period	12/6/20 → 12/10/20

All Science Journal Classification (ASJC) codes

Computer Networks and Communications
Electronic, Optical and Magnetic Materials
Instrumentation
Atomic and Molecular Physics, and Optics

Access to Document

10.1109/ECOC48923.2020.9333362

Cite this

Prucnal, P. R., De Lima, T. F., Huang, C., Marquez, B. A., & Shastri, B. J. (2020). Neuromorphic Photonics: Current Status and Challenges. In 2020 European Conference on Optical Communications, ECOC 2020 Article 9333362 (2020 European Conference on Optical Communications, ECOC 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ECOC48923.2020.9333362

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title = "Neuromorphic Photonics: Current Status and Challenges",

abstract = "Artificial intelligence and neuromorphic computing driven by neural networks has enabled many applications. Software implementations of neural networks on electronic platforms are limited in speed and energy efficiency. Neuromorphic photonics aims to build processors in which optical hardware mimic neural networks in the brain.",

author = "Prucnal, {Paul R.} and {De Lima}, {Thomas Ferrieira} and Chaoran Huang and Marquez, {Bicky A.} and Shastri, {Bhavin J.}",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 46th European Conference on Optical Communications, ECOC 2020 ; Conference date: 06-12-2020 Through 10-12-2020",

year = "2020",

month = dec,

doi = "10.1109/ECOC48923.2020.9333362",

language = "English (US)",

series = "2020 European Conference on Optical Communications, ECOC 2020",

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

booktitle = "2020 European Conference on Optical Communications, ECOC 2020",

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Prucnal, PR, De Lima, TF, Huang, C, Marquez, BA & Shastri, BJ 2020, Neuromorphic Photonics: Current Status and Challenges. in 2020 European Conference on Optical Communications, ECOC 2020., 9333362, 2020 European Conference on Optical Communications, ECOC 2020, Institute of Electrical and Electronics Engineers Inc., 46th European Conference on Optical Communications, ECOC 2020, Virtual, Brussels, Belgium, 12/6/20. https://doi.org/10.1109/ECOC48923.2020.9333362

Neuromorphic Photonics: Current Status and Challenges. / Prucnal, Paul R.; De Lima, Thomas Ferrieira; Huang, Chaoran et al.
2020 European Conference on Optical Communications, ECOC 2020. Institute of Electrical and Electronics Engineers Inc., 2020. 9333362 (2020 European Conference on Optical Communications, ECOC 2020).

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

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T1 - Neuromorphic Photonics

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AU - Prucnal, Paul R.

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AU - Shastri, Bhavin J.

PY - 2020/12

Y1 - 2020/12

N2 - Artificial intelligence and neuromorphic computing driven by neural networks has enabled many applications. Software implementations of neural networks on electronic platforms are limited in speed and energy efficiency. Neuromorphic photonics aims to build processors in which optical hardware mimic neural networks in the brain.

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M3 - Conference contribution

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BT - 2020 European Conference on Optical Communications, ECOC 2020

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 6 December 2020 through 10 December 2020

ER -

Neuromorphic Photonics: Current Status and Challenges

Abstract

Publication series

Conference

All Science Journal Classification (ASJC) codes

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