Description |
1 online resource (277 pages) |
Contents |
Frontmatter -- Preface -- Contents -- List of Contributing Authors -- 1. Introduction to novel photonic computing / Brunner, Daniel / Antonik, Piotr / Porte, Xavier -- 2. Information processing and computation with photonic reservoir systems / Dambre, Joni -- 3. Integrated on-chip reservoirs / Katumba, Andrew / Freiberger, Matthias / Laporte, Floris / Lugnan, Alessio / Sackesyn, Stijn / Ma, Chonghuai / Dambre, Joni / Bienstman, Peter -- 4. Large scale spatiotemporal reservoirs / Brunner, Daniel / Bueno, Julian / Porte, Xavier / Maktoobi, Sheler / Andreoli, Louis -- 5. Time delay systems for reservoir computing / Ortín, Silvia / Pesquera, Luis / Van der Sande, Guy / Soriano, Miguel C. -- 6. Ikeda delay dynamics as Reservoir processors / Larger, Laurent -- 7. Semiconductor lasers as reservoir substrates / Van der Sande, Guy / Soriano, Miguel C. -- 8. Advanced reservoir computers: analogue autonomous systems and real time control / Antonik, Piotr / Massar, Serge / Duport, François -- Outlook -- Index |
Summary |
Photonics has long been considered an attractive substrate for next generation implementations of machine-learning concepts. Reservoir Computing tremendously facilitated the realization of recurrent neural networks in analogue hardware. This concept exploits the properties of complex nonlinear dynamical systems, giving rise to photonic reservoirs implemented by semiconductor lasers, telecommunication modulators and integrated photonic chips |
Notes |
In English |
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Online resource; title from PDF title page (publisher's Web site, viewed 23. Jul 2019) |
Subject |
Photonics.
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Optical data processing.
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SCIENCE -- Physics -- Optics & Light.
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Optical data processing
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Photonics
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Form |
Electronic book
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Author |
Brunner, Daniel, editor
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Soriano, Miguel C., editor
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Van der Sande, Guy, editor
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ISBN |
3110583496 |
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9783110583496 |
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9783110582116 |
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3110582112 |
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