Results 241 to 250 of about 1,942,647 (283)

Charge-Trap Memory with Engineered Temporal Dynamics for Physically Integrated Reservoir Computing. [PDF]

Small Sci
Wu M, Chen Z, Yu N, Li L, Zhang X, Wan X, Zheng Y, Xu S, Liu Y, Peng J, Wang Y, Yuan J, Wang J, Wang X.   +13 more
europepmc   +1 more source

Making Sweat Measurable: Induction, Sampling, and Refreshment in Wearable Biofluid Sensing

Advanced Science, EarlyView.
Wearable sweat sensing relies not only on chemical detection but also on controlled biofluid management. This Review integrates sweat physiology, induction strategies, and microfluidic sampling architectures, demonstrating how flux, transport, and refreshment shape measurement reliability.
Soyoung Shin, Wei Gao
wiley   +1 more source

Reservoir computing-driven inverse dynamics for autonomous vehicle trajectory tracking control. [PDF]

Sci Rep
Zhang A, Su C, Wang Z, Zhou C, Yang Y.
europepmc   +1 more source

Coplanar Floating-Gate Antiferroelectric Transistor with Multifunctionality for All-in-One Analog Reservoir Computing. [PDF]

Nanomicro Lett
Shi Y, Zheng Z, Huo J, Chien YC, Li S, Zheng H, Gong X, Ang KW.   +7 more
europepmc   +1 more source

Compact Optical Reservoir Computing via Luminescence Dynamics in Rare-Earth Ions-Doped Nanocrystals. [PDF]

Adv Sci (Weinh)
Chen J, Fu J, Xu J, Qin Y, Du A, Wang K, Jin L, Huang C.   +7 more
europepmc   +1 more source

Frequency-multiplexed optical reservoir computing using a microcomb. [PDF]

Nanophotonics
Cuevas J, Hu Y, Shi B, Liu J, Minoshima K, Kuse N.   +5 more
europepmc   +1 more source

Boosting reservoir computing with brain-inspired adaptive control of E-I balance. [PDF]

Nat Commun
Srinivasan K, Plenz D, Girvan M.
europepmc   +1 more source

Efficient next-generation reservoir computing: An analog in-memory implementation using memristor crossbar arrays. [PDF]

iScience
Lin Z, Wu X, Chen Z, Zhang J, Deng J, Feng Y.   +5 more
europepmc   +1 more source

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Reservoir Computing Trends

KI - Künstliche Intelligenz, 2012
Reservoir Computing (RC) is a paradigm of understanding and training Recurrent Neural Networks (RNNs) based on treating the recurrent part (the reservoir) differently than the readouts from it. It started ten years ago and is currently a prolific research area, giving important insights into RNNs, practical machine learning tools, as well as enabling ...
Mantas Lukosevicius, Herbert Jaeger, Benjamin Schrauwen   +2 more
openaire   +1 more source

Evolutionary aspects of reservoir computing [PDF]

Philosophical Transactions of the Royal Society B: Biological Sciences, 2019
Reservoir computing (RC) is a powerful computational paradigm that allows high versatility with cheap learning. While other artificial intelligence approaches need exhaustive resources to specify their inner workings, RC is based on a reservoir with highly nonlinear dynamics that does not require a fine tuning of its parts. These dynamics project input
Luís F Seoane
exaly   +5 more sources