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Reconfigurable Activation Functions in Integrated Optical Neural Networks

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Reconfigurable Activation Functions in Integrated Optical Neural Networks

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Rausell-Campo, JR.; Pérez-López, D. (2022). Reconfigurable Activation Functions in Integrated Optical Neural Networks. IEEE Journal of Selected Topics in Quantum Electronics. 28(4):1-13. https://doi.org/10.1109/JSTQE.2022.3169833

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/194394

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Title: Reconfigurable Activation Functions in Integrated Optical Neural Networks
Author: Rausell-Campo, Jose Roberto Pérez-López, Daniel
UPV Unit: Universitat Politècnica de València. Instituto Universitario de Telecomunicación y Aplicaciones Multimedia - Institut Universitari de Telecomunicacions i Aplicacions Multimèdia
Issued date:
Abstract:
[EN] The implementation of nonlinear activation functions is one of the key challenges that optical neural networks face. To the date, different approaches have been proposed, including switching to digital implementations, ...[+]
Subjects: Optical interferometry , Nonlinear optics , Optical imaging , Optical modulation , Optical signal processing , Optical bistability , Adaptive optics , Complex-valued neural networks , Electro-optic modulation , Machine learning , Optical activation functions , Optical neural networks
Copyrigths: Reconocimiento (by)
Source:
IEEE Journal of Selected Topics in Quantum Electronics. (issn: 1077-260X )
DOI: 10.1109/JSTQE.2022.3169833
Publisher:
Institute of Electrical and Electronics Engineers
Publisher version: https://doi.org/10.1109/JSTQE.2022.3169833
Coste APC: 3025
Project ID:
info:eu-repo/grantAgreement/EC/H2020/871330/EU
info:eu-repo/grantAgreement/UPV-VIN//PAID-01-20-24//Fotónica integrada programable para aplicaciones de inteligencia artificial./
Thanks:
This work was supported in part by FPI-UPV Grant Program under Grant PAID-01-20-24 from the Universitat Politecnica de Valencia, through the Spanish MINECO Juan de la Cierva Program and in part by the H2020-ICT2019-2 ...[+]
Type: Artículo

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