Results 31 to 40 of about 2,079,335 (239)

Photonic reservoir computer based on frequency multiplexing

open access: yesOptics Letters, 2022
Reservoir computing is a brain-inspired approach for information processing, well suited to analog implementations. We report a photonic implementation of a reservoir computer that exploits frequency domain multiplexing to encode neuron states. The system processes 25 comb lines simultaneously (i.e., 25 neurons), at a rate of 20 MHz.
Butschek, Lorenz   +5 more
openaire   +5 more sources

Deep photonic reservoir computing recurrent network [PDF]

open access: yes, 2023
Deep neural networks usually process information through multiple hidden layers. However, most hardware reservoir computing recurrent networks only have one hidden reservoir layer, which significantly limits the capability of solving real-world complex ...
Wang, Cheng
core   +3 more sources

Battery-Inspired Electrochemical Synapses for Neuromorphic Applications. [PDF]

open access: yesAdv Sci (Weinh)
Battery‐ion‐inspired synaptic devices integrate diverse electrolyte systems (solid, ion‐gel, liquid) with transition metal oxides, two‐dimensional materials, and organic channels to regulate ion‐electron coupling. By tailoring ion transport and host interactions, these platforms enable controllable plasticity and energy‐efficient implementations for ...
Lee WW   +6 more
europepmc   +2 more sources

Large-Scale Optical Reservoir Computing for Spatiotemporal Chaotic Systems Prediction

open access: yesPhysical Review X, 2020
Reservoir computing is a relatively recent computational paradigm that originates from a recurrent neural network and is known for its wide range of implementations using different physical technologies.
Mushegh Rafayelyan   +4 more
doaj   +1 more source

Photonic reservoir computing enabled by stimulated Brillouin scattering [PDF]

open access: yes, 2023
Artificial Intelligence (AI) drives the creation of future technologies that disrupt the way humans live and work, creating new solutions that change the way we approach tasks and activities, but it requires a lot of data processing, large amounts of ...
Sendy Phang   +2 more
core   +1 more source

Quantum reservoir computing for photonic entanglement witnessing. [PDF]

open access: yesSci Adv
Accurately estimating properties of quantum states, such as entanglement, while essential for the development of quantum technologies, remains a challenging task. Standard approaches to property estimation rely on detailed modeling of the measurement apparatus and a priori assumptions on their working principles.
Zia D   +12 more
europepmc   +8 more sources

Scalable photonic platform for real-time quantum reservoir computing

open access: yes, 2022
Quantum Reservoir Computing (QRC) exploits the information processing capabilities of quantum systems to solve non-trivial temporal tasks, improving over their classical counterparts. Recent progress has shown the potential of QRC exploiting the enlarged
Gian Luca Giorgi (14380257)   +7 more
core   +1 more source

Integrated Photonic Reservoir Computing with All-Optical Readout [PDF]

open access: yes, 2023
Integrated photonic reservoir computing has been demonstrated to be able to tackle different problems because of its neural network nature. A key advantage of photonic reservoir computing over other neuromorphic paradigms is its straightforward readout ...
Sackesyn, Stijn   +7 more
core   +1 more source

Hardware optimization for photonic time-delay reservoir computer dynamics

open access: yesNeuromorphic Computing and Engineering, 2023
Reservoir computing (RC) is one kind of neuromorphic computing mainly applied to process sequential data such as time-dependent signals. In this paper, the bifurcation diagram of a photonic time-delay RC system is thoroughly studied, and a method of ...
Meng Zhang, Zhizhuo Liang, Z Rena Huang
doaj   +1 more source

Photonic reservoir computing using delay dynamical systems

open access: yes, 2020
The recent progress in artificial intelligence has spurred renewed interest in hardware implementations of neural networks. Reservoir computing is a powerful, highly versatile machine learning algorithm well suited for experimental implementations.
Guy Van Der Sande   +2 more
core   +1 more source

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