Time Series Prediction and Classification using Silicon Photonic Neuron with a Self-Connection

Hsuan Tung Peng; Thomas Ferreira de Lima; Eric C. Blow; Simon Bilodeau; Aashu Jha; Chaoran Huang; Bhavin J. Shastri; Paul R. Prucnal

Time Series Prediction and Classification using Silicon Photonic Neuron with a Self-Connection

Hsuan Tung Peng, Thomas Ferreira de Lima, Eric C. Blow, Simon Bilodeau, Aashu Jha, Chaoran Huang, Bhavin J. Shastri, Paul R. Prucnal

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

Abstract

We experimentally demonstrated real-time operation of a photonic neuron with a self-connection, a pre-requisite for integrated recurrent neural networks (RNNs). After studying two applications we propose a photonics-assisted platform for time series prediction and classification.

Original language	English (US)
Title of host publication	CLEO
Subtitle of host publication	Science and Innovations, S and I 2022
Publisher	Optica Publishing Group (formerly OSA)
ISBN (Electronic)	9781557528209
State	Published - 2022
Event	CLEO: Science and Innovations, S and I 2022 - San Jose, United States Duration: May 15 2022 → May 20 2022

Publication series

Name	Optics InfoBase Conference Papers

Conference

Conference	CLEO: Science and Innovations, S and I 2022
Country/Territory	United States
City	San Jose
Period	5/15/22 → 5/20/22

All Science Journal Classification (ASJC) codes

Electronic, Optical and Magnetic Materials
Mechanics of Materials

Cite this

@inproceedings{230267b660d84c04965e635f2d9411c4,

title = "Time Series Prediction and Classification using Silicon Photonic Neuron with a Self-Connection",

abstract = "We experimentally demonstrated real-time operation of a photonic neuron with a self-connection, a pre-requisite for integrated recurrent neural networks (RNNs). After studying two applications we propose a photonics-assisted platform for time series prediction and classification.",

author = "Peng, {Hsuan Tung} and {de Lima}, {Thomas Ferreira} and Blow, {Eric C.} and Simon Bilodeau and Aashu Jha and Chaoran Huang and Shastri, {Bhavin J.} and Prucnal, {Paul R.}",

note = "Publisher Copyright: {\textcopyright} Optica Publishing Group 2022, {\textcopyright} 2022 The Author(s); CLEO: Science and Innovations, S and I 2022 ; Conference date: 15-05-2022 Through 20-05-2022",

year = "2022",

language = "English (US)",

series = "Optics InfoBase Conference Papers",

publisher = "Optica Publishing Group (formerly OSA)",

booktitle = "CLEO",

}

Peng, HT, de Lima, TF, Blow, EC, Bilodeau, S, Jha, A, Huang, C, Shastri, BJ & Prucnal, PR 2022, Time Series Prediction and Classification using Silicon Photonic Neuron with a Self-Connection. in CLEO: Science and Innovations, S and I 2022., SS2B.2, Optics InfoBase Conference Papers, Optica Publishing Group (formerly OSA), CLEO: Science and Innovations, S and I 2022, San Jose, United States, 5/15/22.

Time Series Prediction and Classification using Silicon Photonic Neuron with a Self-Connection. / Peng, Hsuan Tung; de Lima, Thomas Ferreira; Blow, Eric C. et al.
CLEO: Science and Innovations, S and I 2022. Optica Publishing Group (formerly OSA), 2022. SS2B.2 (Optics InfoBase Conference Papers).

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

TY - GEN

T1 - Time Series Prediction and Classification using Silicon Photonic Neuron with a Self-Connection

AU - Peng, Hsuan Tung

AU - de Lima, Thomas Ferreira

AU - Blow, Eric C.

AU - Bilodeau, Simon

AU - Jha, Aashu

AU - Huang, Chaoran

AU - Shastri, Bhavin J.

AU - Prucnal, Paul R.

PY - 2022

Y1 - 2022

N2 - We experimentally demonstrated real-time operation of a photonic neuron with a self-connection, a pre-requisite for integrated recurrent neural networks (RNNs). After studying two applications we propose a photonics-assisted platform for time series prediction and classification.

AB - We experimentally demonstrated real-time operation of a photonic neuron with a self-connection, a pre-requisite for integrated recurrent neural networks (RNNs). After studying two applications we propose a photonics-assisted platform for time series prediction and classification.

UR - http://www.scopus.com/inward/record.url?scp=85136805074&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85136805074&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:85136805074

T3 - Optics InfoBase Conference Papers

BT - CLEO

PB - Optica Publishing Group (formerly OSA)

T2 - CLEO: Science and Innovations, S and I 2022

Y2 - 15 May 2022 through 20 May 2022

ER -

Time Series Prediction and Classification using Silicon Photonic Neuron with a Self-Connection

Abstract

Publication series

Conference

All Science Journal Classification (ASJC) codes

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