Results 211 to 220 of about 16,896 (259)

Low-Power Perovskite-Based Memristors Enable Fused Reservoir Computing and Neuromorphic Vision with Highly Accurate Color Perception. [PDF]

Small
Bousoulas P, Orfanoudakis S, Tsetseris L, Tsioustas C, Skorda S, Sachat AE, Tsipas P, Kontos AG, Stergiopoulos T, Tsoukalas D.   +9 more
europepmc   +1 more source

Atomic Defects in Layered Transition Metal Dichalcogenides for Sustainable Energy Storage and the Intelligent Trends in Data Analytics

Advanced Science, EarlyView.
This review comprehensively summarizes the atomic defects in TMDs for their applications in sustainable energy storage devices, along with the latest progress in ML methodologies for high‐throughput TEM data analysis, offering insights on how ML‐empowered microscopy facilitates bridging structure–property correlation and inspires knowledge for precise ...
Zheng Luo, Ying Yang, Zizhen Fu, Fengqi Liu, Susu Fang, Kele Xu, Shanshan Wang   +6 more
wiley   +1 more source

Polarity-Controlled Volatile HfO₂ Memristors with Bimodal Conductance for Neuromorphic Synapses and Reservoir Computing. [PDF]

Adv Sci (Weinh)
Jang Y, Hwang C, Chae M, Kim T, Kim HD.
europepmc   +1 more source

Versatile and Robust Reservoir Computing with PWM-Driven Heterogenous R-C Circuits. [PDF]

Adv Sci (Weinh)
Ma Z, Yi H, Zheng Z, Chen Z, Liu W, Chen Y, Cheng B, Cai C, Pan S, Ge J.   +9 more
europepmc   +1 more source

Mixed-Dimensional Floating Gate Phototransistors for Mixed-Modal In-Sensor Reservoir Computing. [PDF]

Adv Sci (Weinh)
Ouyang W, Zhang Q, Chen J, Luo X, Wang X, Chen Y, Yang F, Nie Q, Liu Q, Liu F.   +9 more
europepmc   +1 more source

Modeling nonlinear oscillator networks using physics-informed hybrid reservoir computing. [PDF]

Sci Rep
Shannon A, Houghton C, Barton DAW, Homer M.   +3 more
europepmc   +1 more source

Low-cost computation for isolated sign language video recognition with multiple reservoir computing. [PDF]

PLoS One
Syulistyo AR, Tanaka Y, Pramanta D, Fuengfusin N, Tamukoh H.   +4 more
europepmc   +1 more source

Integrated Design of Electrically Configurable Ferroelectric and Redox-Based Memristors for Hardware-Implemented Reservoir Computing. [PDF]

Adv Sci (Weinh)
Lee JK, Park Y, Seo E, Lee JH, Kim S, Kim S.   +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

Frontiers in Reservoir Computing. [PDF]

, 2020
Reservoir computing (RC) studies the properties of large recurrent networks of artificial neurons, with either fixed or random connectivity. Over the last years, reservoirs have become a key tool for pattern recognition and neuroscience problems, being able to develop a rich representation of the temporal information even if left untrained.
Claudio Gallicchio, Mantas Lukosevicius, Simone Scardapane   +2 more
openaire   +1 more source