Results 31 to 40 of about 19,366 (302)
Audio Classification with Skyrmion Reservoirs
Advanced Intelligent Systems, 2023 Physical reservoir computing is a computational paradigm that enables spatiotemporal pattern recognition to be performed directly in matter. The use of physical matter leads the way toward energy‐efficient devices capable of solving machine learning ...
Robin Msiska +4 more
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All-optical reservoir computing
Optics Express, 2012 Reservoir Computing is a novel computing paradigm which uses a nonlinear recurrent dynamical system to carry out information processing. Recent electronic and optoelectronic Reservoir Computers based on an architecture with a single nonlinear node and a delay loop have shown performance on standardized tasks comparable to state-of-the-art digital ...
Duport, Francois +4 more
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Time series reconstructing using calibrated reservoir computing
Scientific Reports, 2022 Reservoir computing, a new method of machine learning, has recently been used to predict the state evolution of various chaotic dynamic systems. It has significant advantages in terms of training cost and adjusted parameters; however, the prediction ...
Yeyuge Chen, Yu Qian, Xiaohua Cui
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Reservoir computing with solitons
New Journal of Physics, 2021 Reservoir computing is a promising framework that facilitates the approach to physical neuromorphic hardware by enabling a given nonlinear physical system to act as a computing platform.
Nuno Azevedo Silva +2 more
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Rotating neurons for all-analog implementation of cyclic reservoir computing
Nature Communications, 2022 Reservoir computing has demonstrated high-level performance, however efficient hardware implementations demand an architecture with minimum system complexity. The authors propose a rotating neuron-based architecture for physically implementing all-analog
Xiangpeng Liang +10 more
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Catch-22s of reservoir computing
Physical Review Research, 2023 Reservoir computing (RC) is a simple and efficient model-free framework for forecasting the behavior of nonlinear dynamical systems from data. Here, we show that there exist commonly-studied systems for which leading RC frameworks struggle to learn the ...
Yuanzhao Zhang, Sean P. Cornelius
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Potential implementation of reservoir computing models based on magnetic skyrmions
AIP Advances, 2018 Reservoir Computing is a type of recursive neural network commonly used for recognizing and predicting spatio-temporal events relying on a complex hierarchy of nested feedback loops to generate a memory functionality.
George Bourianoff +3 more
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A high-performance deep reservoir computer experimentally demonstrated with ion-gating reservoirs
Communications EngineeringWhile physical reservoir computing is a promising way to achieve low power consumption neuromorphic computing, its computational performance is still insufficient at a practical level. One promising approach to improving its performance is deep reservoir
Daiki Nishioka +5 more
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Microsystems & Nanoengineering, 2021 Reservoir computing is a potential neuromorphic paradigm for promoting future disruptive applications in the era of the Internet of Things, owing to its well-known low training cost and compatibility with hardware. It has been successfully implemented by
Jie Sun +7 more
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FEBS Letters, EarlyView.Bifidobacterium bifidum establishes symbiosis with infants by metabolizing lacto‐N‐biose I (LNB) from human milk oligosaccharides (HMOs). The extracellular multidomain enzyme LnbB drives this process, releasing LNB via its catalytic glycoside hydrolase family 20 (GH20) lacto‐N‐biosidase domain.
Xinzhe Zhang +5 more
wiley +1 more source