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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.
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Physical reservoir computing with emerging electronics

Nature Electronics
Xiangpeng Liang, Jianshi Tang, Yanan Zhong, Bin Gao, He Qian, Huaqiang Wu   +5 more
openaire   +3 more sources

Physical Reservoir Computing in Robotics

2021
In recent years, there has been an increasing interest in using the concept of physical reservoir computing in robotics. The idea is to employ the robot’s body and its dynamics as a computational resource. On one hand, this has been driven by the introduction of mathematical frameworks showing how complex mechanical structures can be used to build ...
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Dynamic memristor for physical reservoir computing

Nanoscale
This minireview explores the tunable dynamic properties and potential applications of memristor-based physical reservoir computing.
Qi-Rui Zhang, Wei-Lun Ouyang, Xue-Mei Wang, Fan Yang, Jian-Gang Chen, Zhi-Xing Wen, Jia-Xin Liu, Ge Wang, Qing Liu, Fu-Cai Liu   +9 more
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Self-learning physical reservoir computer

Physical Review E
A self-learning physical reservoir computer is demonstrated using an adaptive oscillator. Whereas physical reservoir computing repurposes the dynamics of a physical system for computation through machine learning, adaptive oscillators can innately learn and store information in plastic dynamic states.
Md Raf E Ul Shougat, XiaoFu Li, Edmon Perkins   +2 more
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Physical reservoir computing with dynamical electronics

2022
Since the advent of data-driven society, mass information generated from human activity and the natural environment has been collected, stored, processed, and then dispersed under conventional von Neumann architecture. However, further scaling the computing capability in terms of speed and power efficiency has been significantly slowed down in recent ...
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Physical reservoir computing with origami: a feasibility study

Behavior and Mechanics of Multifunctional Materials XV, 2021
In the field of soft robotics, harnessing the nonlinear dynamics of soft and compliant bodies as a computational resource to enable embodied intelligence and control is known as morphological computation. Physical reservoir computing (PRC) is a true instance of morphological computation wherein; a physical nonlinear dynamic system is used as a fixed ...
Priyanka Bhovad, Suyi Li
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Physical Reservoir Computing with Electrochemical Reactions

ECS Meeting Abstracts
Machine learning based on neural networks (NN) has been used for information processing.1 However, some disadvantages of NN are the high cost of computational resources and long training process. To overcome these limitations, physical reservoir computing (PRC) was proposed.2 In PRC, signals are fed to PR devices that produce non-linear responses ...
Ryo Yamada, S. Watanabe, T Fukuoka, S Hirooka, H. Inatsu, M. Nakagawa, H Tada   +6 more
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A current-controlled magnonic reservoir for physical reservoir computing

Applied Physics Letters
Physical reservoir computers based on principles of magnonics promise energy efficient data processing and a reduction in the size and weight of the neuromorphic computing devices. The present work is a major step toward all-magnonic implementation of the recently proposed concept of a physical reservoir based on the spin wave active ring.
Alexey B. Ustinov, Roman V. Haponchyk, Mikhail Kostylev   +2 more
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