Neuromorphic Processing for Optical Communications

Mariia Sorokina

doi:10.1109/ICTON.2019.8840389

Neuromorphic Processing for Optical Communications

Mariia Sorokina

Research output: Chapter in Book/Published conference output › Conference publication

Abstract

Neuromorphic computing has been recently demonstrated as a lucrative technology for communications systems. Optical neuromorphic technology enables implementation of machine learning algorithms in optical domain. We will discuss the recent progress, as well as, advantages and challenges of such technology for high speed and energy efficient signal processing.

Original language	English
Title of host publication	21st International Conference on Transparent Optical Networks, ICTON 2019
Publisher	IEEE
ISBN (Electronic)	978-1-7281-2779-8
ISBN (Print)	978-1-7281-2780-4
DOIs	https://doi.org/10.1109/ICTON.2019.8840389
Publication status	E-pub ahead of print - 19 Sept 2019
Event	2019 21st International Conference on Transparent Optical Networks (ICTON) - Angers, France Duration: 9 Jul 2019 → 13 Jul 2019

Publication series

Name	2019 21st International Conference on Transparent Optical Networks (ICTON)
Publisher	IEEE
ISSN (Print)	2162-7339
ISSN (Electronic)	2161-2064

Conference

Conference	2019 21st International Conference on Transparent Optical Networks (ICTON)
Period	9/07/19 → 13/07/19

Bibliographical note

Publisher: IEEE.

Funding: Royal Academy of Engineering Research Fellowship RF\201718\17154.

Keywords

Fiber-optic communications
Machine learning
Neural networks
Neuromorphic processing
Optical signal processing

Access to Document

10.1109/ICTON.2019.8840389

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@inproceedings{bac5b97b459045a99a605fcdf19938d5,

title = "Neuromorphic Processing for Optical Communications",

abstract = "Neuromorphic computing has been recently demonstrated as a lucrative technology for communications systems. Optical neuromorphic technology enables implementation of machine learning algorithms in optical domain. We will discuss the recent progress, as well as, advantages and challenges of such technology for high speed and energy efficient signal processing.",

keywords = "Fiber-optic communications, Machine learning, Neural networks, Neuromorphic processing, Optical signal processing",

author = "Mariia Sorokina",

note = "Publisher: IEEE. Funding: Royal Academy of Engineering Research Fellowship RF\201718\17154.; 2019 21st International Conference on Transparent Optical Networks (ICTON) ; Conference date: 09-07-2019 Through 13-07-2019",

year = "2019",

month = sep,

day = "19",

doi = "10.1109/ICTON.2019.8840389",

language = "English",

isbn = "978-1-7281-2780-4",

series = "2019 21st International Conference on Transparent Optical Networks (ICTON)",

publisher = "IEEE",

booktitle = "21st International Conference on Transparent Optical Networks, ICTON 2019",

address = "United States",

}

TY - GEN

T1 - Neuromorphic Processing for Optical Communications

AU - Sorokina, Mariia

N1 - Publisher: IEEE. Funding: Royal Academy of Engineering Research Fellowship RF\201718\17154.

PY - 2019/9/19

Y1 - 2019/9/19

N2 - Neuromorphic computing has been recently demonstrated as a lucrative technology for communications systems. Optical neuromorphic technology enables implementation of machine learning algorithms in optical domain. We will discuss the recent progress, as well as, advantages and challenges of such technology for high speed and energy efficient signal processing.

AB - Neuromorphic computing has been recently demonstrated as a lucrative technology for communications systems. Optical neuromorphic technology enables implementation of machine learning algorithms in optical domain. We will discuss the recent progress, as well as, advantages and challenges of such technology for high speed and energy efficient signal processing.

KW - Fiber-optic communications

KW - Machine learning

KW - Neural networks

KW - Neuromorphic processing

KW - Optical signal processing

UR - https://ieeexplore.ieee.org/document/8840389/

UR - http://www.scopus.com/inward/record.url?scp=85073056236&partnerID=8YFLogxK

U2 - 10.1109/ICTON.2019.8840389

DO - 10.1109/ICTON.2019.8840389

M3 - Conference publication

SN - 978-1-7281-2780-4

T3 - 2019 21st International Conference on Transparent Optical Networks (ICTON)

BT - 21st International Conference on Transparent Optical Networks, ICTON 2019

PB - IEEE

T2 - 2019 21st International Conference on Transparent Optical Networks (ICTON)

Y2 - 9 July 2019 through 13 July 2019

ER -

Neuromorphic Processing for Optical Communications

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

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