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Abstract Reservoir Computing [PDF]
AI, 2022 Noise of any kind can be an issue when translating results from simulations to the real world. We suddenly have to deal with building tolerances, faulty sensors, or just noisy sensor readings.
Christoph Walter Senn, Itsuo Kumazawa
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Principled neuromorphic reservoir computing [PDF]
Nature CommunicationsReservoir computing advances the intriguing idea that a nonlinear recurrent neural circuit—the reservoir—can encode spatio-temporal input signals to enable efficient ways to perform tasks like classification or regression. However, recently the idea of a
Denis Kleyko +5 more
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Implementation of reservoir computing using coupled microelectromechanical drum resonators via sideband-pumped phonon–cavity dynamics [PDF]
Microsystems & NanoengineeringReservoir computing is a bio-inspired machine learning paradigm that exploits the intrinsic dynamics of nonlinear systems with fading memory for efficient temporal information processing.
Theresa Farah +8 more
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Next generation reservoir computing [PDF]
Nature Communications, 2021 Reservoir computers are artificial neural networks that can be trained on small data sets, but require large random matrices and numerous metaparameters.
Daniel J. Gauthier +3 more
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Optomechanical reservoir computing. [PDF]
Proc Natl Acad Sci U S ANonlinear dynamics are pervasive phenomena in natural and synthetic material systems, where time-varying signals from different physical stimuli in the environment influence the material system behavior. Physical reservoir computing leverages these nonlinear dynamics to produce complex input–output mappings by interpreting the dynamical system as a ...
Kiyabu S +8 more
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Optoelectronic Reservoir Computing [PDF]
Scientific Reports, 2012 Reservoir computing is a recently introduced, highly efficient bio-inspired approach for processing time dependent data. The basic scheme of reservoir computing consists of a non linear recurrent dynamical system coupled to a single input layer and a single output layer. Within these constraints many implementations are possible. Here we report an opto-
Paquot, Yvan +6 more
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Harvested reservoir computing from road traffic dynamics [PDF]
Scientific ReportsReservoir computing (RC) has gained attention as an efficient machine learning method for time series prediction because of its low computational costs and simple learning process.
Ryunosuke Fukuzaki +2 more
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Stochastic reservoir computers
Nature CommunicationsReservoir computing is a form of machine learning that utilizes nonlinear dynamical systems to perform complex tasks in a cost-effective manner when compared to typical neural networks.
Peter J. Ehlers +2 more
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Memristive Physical Reservoir Computing [PDF]
Advanced ScienceReservoir computing (RC) has emerged as an efficient neuromorphic framework for temporal information processing, offering low training complexity and hardware‐friendly implementation. Memristors’ nonlinear dynamics and input‐dependent memory effects make
Dian Jiao +9 more
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Gate insulator stack engineering for fully CMOS-compatible reservoir computing [PDF]
Nano ConvergenceThe need for processing complex and temporal datasets has increased with the rise of artificial intelligence. In this context, reservoir computing, which utilizes the short-term memory of the reservoir to map input data into a high-dimensional space, has
Joon Hwang +4 more
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