Publication:

Using photonic reservoirs as preprocessors for deep neural networks

Date

2022
Journal article
https://doi.org/10.3389/fphy.2022.1051941
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cris.virtual.department#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtual.orcid0000-0001-6259-464X
cris.virtualsource.departmentdce1a63c-281d-4f6a-9c8d-26a3b1e77103
cris.virtualsource.orciddce1a63c-281d-4f6a-9c8d-26a3b1e77103
dc.contributor.authorBauwens, Ian
dc.contributor.authorvan der Sande, Guy
dc.contributor.authorBienstman, Peter
dc.contributor.authorVerschaffelt, Guy
dc.contributor.imecauthorBienstman, Peter
dc.contributor.orcidimecBienstman, Peter::0000-0001-6259-464X
dc.date.accessioned2023-03-09T12:28:11Z
dc.date.available2022-12-23T03:08:08Z
dc.date.available2023-03-09T12:28:11Z
dc.date.embargo2022-11-24
dc.date.issued2022
dc.description.wosFundingTextThis research was funded by the Research Foundation Flanders (FWO) under grants G028618N, G029519N and G006020N. Additional funding was provided by the EOS project "Photonic Ising Machines". This project (EOS number 40007536) has received funding from the FWO and F.R.S.-FNRS under the Excellence of Science (EOS) programme.
dc.identifier.doi10.3389/fphy.2022.1051941
dc.identifier.issn2296-424X
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/40905
dc.publisherFRONTIERS MEDIA SA
dc.source.beginpage1051941
dc.source.endpagena
dc.source.issuena
dc.source.journalFRONTIERS IN PHYSICS
dc.source.numberofpages14
dc.source.volume10
dc.subject.keywordsDELAYED OPTICAL FEEDBACK
dc.subject.keywordsSEMICONDUCTOR-LASERS
dc.subject.keywordsNONLINEARITY
dc.title

Using photonic reservoirs as preprocessors for deep neural networks

dc.typeJournal article
dspace.entity.typePublication
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