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: Contribution to journal › Conference article › peer-review

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)
Article number	SS2B.2
Journal	Optics InfoBase Conference Papers
State	Published - 2022
Event	CLEO: Science and Innovations, S and I 2022 - San Jose, United States Duration: May 15 2022 → May 20 2022

All Science Journal Classification (ASJC) codes

Electronic, Optical and Magnetic Materials
Mechanics of Materials

Cite this

@article{11be91e7c4f24ae3b36189b014c634cb,

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)",

journal = "Optics InfoBase Conference Papers",

issn = "2162-2701",

}

TY - JOUR

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 - https://www.scopus.com/pages/publications/85136805074

UR - https://www.scopus.com/pages/publications/85136805074#tab=citedBy

M3 - Conference article

AN - SCOPUS:85136805074

SN - 2162-2701

JO - Optics InfoBase Conference Papers

JF - Optics InfoBase Conference Papers

M1 - SS2B.2

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

All Science Journal Classification (ASJC) codes

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