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Memristive Physical Reservoir Computing [PDF]
Advanced ScienceReservoir computing (RC) has emerged as an efficient neuromorphic framework for temporal information processing, offering low training complexity and hardware‐friendly implementation. Memristors’ nonlinear dynamics and input‐dependent memory effects make
Dian Jiao +9 more
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Harnessing synthetic active particles for physical reservoir computing [PDF]
Nature Communications, 2023 The processing of information is an indispensable property of living systems realized by networks of active processes with enormous complexity. They have inspired many variants of modern machine learning, one of them being reservoir computing, in which ...
Xiangzun Wang, Frank Cichos
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Physical reservoir computing with origami and its application to robotic crawling [PDF]
Scientific Reports, 2021 A new paradigm called physical reservoir computing has recently emerged, where the nonlinear dynamics of high-dimensional and fixed physical systems are harnessed as a computational resource to achieve complex tasks.
Priyanka Bhovad, Suyi Li
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Physical Implementation of Reservoir Computing through Electrochemical Reaction [PDF]
Advanced Science, 2022 Nonlinear dynamical systems serving reservoir computing enrich the physical implementation of computing systems. A method for building physical reservoirs from electrochemical reactions is provided, and the potential of chemical dynamics as computing ...
Shaohua Kan +3 more
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Photonic Physical Reservoir Computing with Tunable Relaxation Time Constant [PDF]
Advanced ScienceRecent years have witnessed a rising demand for edge computing, and there is a need for methods to decrease the computational cost while maintaining a high learning performance when processing information at arbitrary edges.
Yutaro Yamazaki, Kentaro Kinoshita
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Task-adaptive physical reservoir computing. [PDF]
Nat Mater, 2023 AbstractReservoir computing is a neuromorphic architecture that may offer viable solutions to the growing energy costs of machine learning. In software-based machine learning, computing performance can be readily reconfigured to suit different computational tasks by tuning hyperparameters.
Lee O +13 more
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A Hopf physical reservoir computer [PDF]
Scientific Reports, 2021 Physical reservoir computing utilizes a physical system as a computational resource. This nontraditional computing technique can be computationally powerful, without the need of costly training.
Md Raf E Ul Shougat +3 more
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Leveraging plant physiological dynamics using physical reservoir computing [PDF]
Scientific Reports, 2022 Plants are complex organisms subject to variable environmental conditions, which influence their physiology and phenotype dynamically. We propose to interpret plants as reservoirs in physical reservoir computing. The physical reservoir computing paradigm
Olivier Pieters +3 more
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Advanced Intelligent Systems, 2023 Physical reservoir computing, which is a promising method for the implementation of highly efficient artificial intelligence devices, requires a physical system with nonlinearity, fading memory, and the ability to map in high dimensions.
Wataru Namiki +5 more
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Physical reservoir computing for biomedical applications
Neuromorphic Computing and EngineeringReservoir computing (RC) is a feedforward computational framework derived from recurrent neural networks that leverages the high-dimensional dynamic behaviors of complex systems for efficient information processing.
Yuqi Ding +4 more
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