Image classification with a 3-Layer SOA-based photonic integrated neural network

B. Shi; N. Calabretta; R. Stabile

doi:10.23919/PS.2019.8817694

Image classification with a 3-Layer SOA-based photonic integrated neural network

B. Shi, N. Calabretta, R. Stabile

Electro-Optical Communication

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

6 Citations (Scopus)

2 Downloads (Pure)

Abstract

We demonstrate for the first time Iris flowers classification by implementing a trained 3-layer neural network with an SOA-based InP cross-connect chip. Classification accuracy of 85.8% is achieved, 9.2% lower than what obtained via a computer.

Original language	English
Title of host publication	OECC/PSC 2019 - 24th OptoElectronics and Communications Conference/International Conference Photonics in Switching and Computing 2019
Place of Publication	Piscataway
Publisher	Institute of Electrical and Electronics Engineers
Number of pages	3
ISBN (Electronic)	978-4-88552-321-2
DOIs	https://doi.org/10.23919/PS.2019.8817694
Publication status	Published - 1 Jul 2019
Event	24th Optoelectronics and Communications Conference, OECC 2019/ International Conference on Photonics in Switching and Computing, PSC 2019 - Fukuoka, Japan Duration: 7 Jul 2019 → 11 Jul 2019 Conference number: 24 https://www.oeccpsc2019.org/

Conference

Conference	24th Optoelectronics and Communications Conference, OECC 2019/ International Conference on Photonics in Switching and Computing, PSC 2019
Abbreviated title	OECC/PSC 2019
Country/Territory	Japan
City	Fukuoka
Period	7/07/19 → 11/07/19
Internet address	https://www.oeccpsc2019.org/

Keywords

Neuromorphic computing
Photonic integrated circuits

Access to Document

10.23919/PS.2019.8817694

Cite this

Shi, B., Calabretta, N., & Stabile, R. (2019). Image classification with a 3-Layer SOA-based photonic integrated neural network. In OECC/PSC 2019 - 24th OptoElectronics and Communications Conference/International Conference Photonics in Switching and Computing 2019 Article 8817694 Institute of Electrical and Electronics Engineers. https://doi.org/10.23919/PS.2019.8817694

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title = "Image classification with a 3-Layer SOA-based photonic integrated neural network",

abstract = "We demonstrate for the first time Iris flowers classification by implementing a trained 3-layer neural network with an SOA-based InP cross-connect chip. Classification accuracy of 85.8% is achieved, 9.2% lower than what obtained via a computer.",

keywords = "Neuromorphic computing, Photonic integrated circuits",

author = "B. Shi and N. Calabretta and R. Stabile",

year = "2019",

month = jul,

day = "1",

doi = "10.23919/PS.2019.8817694",

language = "English",

booktitle = "OECC/PSC 2019 - 24th OptoElectronics and Communications Conference/International Conference Photonics in Switching and Computing 2019",

publisher = "Institute of Electrical and Electronics Engineers",

address = "United States",

note = "24th Optoelectronics and Communications Conference, OECC 2019/ International Conference on Photonics in Switching and Computing, PSC 2019, OECC/PSC 2019 ; Conference date: 07-07-2019 Through 11-07-2019",

url = "https://www.oeccpsc2019.org/",

}

Shi, B , Calabretta, N & Stabile, R 2019, Image classification with a 3-Layer SOA-based photonic integrated neural network. in OECC/PSC 2019 - 24th OptoElectronics and Communications Conference/International Conference Photonics in Switching and Computing 2019., 8817694, Institute of Electrical and Electronics Engineers, Piscataway, 24th Optoelectronics and Communications Conference, OECC 2019/ International Conference on Photonics in Switching and Computing, PSC 2019, Fukuoka, Japan, 7/07/19. https://doi.org/10.23919/PS.2019.8817694

Image classification with a 3-Layer SOA-based photonic integrated neural network. / Shi, B.; Calabretta, N.; Stabile, R.
OECC/PSC 2019 - 24th OptoElectronics and Communications Conference/International Conference Photonics in Switching and Computing 2019. Piscataway: Institute of Electrical and Electronics Engineers, 2019. 8817694.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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T1 - Image classification with a 3-Layer SOA-based photonic integrated neural network

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AU - Calabretta, N.

AU - Stabile, R.

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PY - 2019/7/1

Y1 - 2019/7/1

N2 - We demonstrate for the first time Iris flowers classification by implementing a trained 3-layer neural network with an SOA-based InP cross-connect chip. Classification accuracy of 85.8% is achieved, 9.2% lower than what obtained via a computer.

AB - We demonstrate for the first time Iris flowers classification by implementing a trained 3-layer neural network with an SOA-based InP cross-connect chip. Classification accuracy of 85.8% is achieved, 9.2% lower than what obtained via a computer.

KW - Neuromorphic computing

KW - Photonic integrated circuits

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U2 - 10.23919/PS.2019.8817694

DO - 10.23919/PS.2019.8817694

M3 - Conference contribution

BT - OECC/PSC 2019 - 24th OptoElectronics and Communications Conference/International Conference Photonics in Switching and Computing 2019

PB - Institute of Electrical and Electronics Engineers

CY - Piscataway

T2 - 24th Optoelectronics and Communications Conference, OECC 2019/ International Conference on Photonics in Switching and Computing, PSC 2019

Y2 - 7 July 2019 through 11 July 2019

ER -

Image classification with a 3-Layer SOA-based photonic integrated neural network

Abstract

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Keywords

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