Photonic neuromorphic information processing and reservoir computing | Zendy

Alessio Lugnan | Zendy; Andrew Katumba | Zendy; Floris Laporte | Zendy; Matthias Freiberger | Zendy; Stijn Sackesyn | Zendy; Chonghuai Ma | Zendy; Emmanuel Gooskens | Zendy; Joni Dambre | Zendy; Peter Bienstman | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Photonic neuromorphic information processing and reservoir computing

Author(s) -

Alessio Lugnan,

Andrew Katumba,

Floris Laporte,

Matthias Freiberger,

Stijn Sackesyn,

Chonghuai Ma,

Emmanuel Gooskens,

Joni Dambre,

Peter Bienstman

Publication year - 2020

Publication title -

apl photonics

Language(s) - English

Resource type - Journals

ISSN - 2378-0967

DOI - 10.1063/1.5129762

Subject(s) - neuromorphic engineering , reservoir computing , photonics , computer science , focus (optics) , deep learning , computer architecture , artificial intelligence , artificial neural network , materials science , recurrent neural network , physics , optoelectronics , optics

Photonic 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.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research