Photonic neuromorphic information processing and reservoir computing

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dc.contributor.authorLugnan, A.
dc.contributor.authorKatumba, A.
dc.contributor.authorLaporte, F.
dc.contributor.authorFreiberger, M.
dc.contributor.authorSackesyn, S.
dc.contributor.authorMa, C.
dc.contributor.authorGooskens, E.
dc.contributor.authorDambre, J.
dc.contributor.authorBienstman, P.
dc.date.accessioned2022-11-30T21:36:07Z
dc.date.available2022-11-30T21:36:07Z
dc.date.issued2020
dc.description.abstractPhotonic neuromorphic computing is attracting tremendous research interest now, catalyzed in no small part by the rise of deep learning in many applications. In this paper, we will review some of the exciting work that has been going in this area and then focus on one particular technology, namely, photonic reservoir computing.en_US
dc.identifier.citationLugnan, A., Katumba, A., Laporte, F., Freiberger, M., Sackesyn, S., Ma, C., ... & Bienstman, P. (2020). Photonic neuromorphic information processing and reservoir computing. APL Photonics, 5(2), 020901. doi: 10.1063/1.5129762en_US
dc.identifier.other10.1063/1.5129762
dc.identifier.urihttps://nru.uncst.go.ug/handle/123456789/5592
dc.language.isoenen_US
dc.publisherAPL Photonicsen_US
dc.subjectPhotonic neuromorphicen_US
dc.subjectInformation processingen_US
dc.subjectReservoir computingen_US
dc.titlePhotonic neuromorphic information processing and reservoir computingen_US
dc.typeArticleen_US
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