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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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Hopf physical reservoir computer for reconfigurable sound recognition
Scientific Reports, 2023 AbstractThe Hopf oscillator is a nonlinear oscillator that exhibits limit cycle motion. This reservoir computer utilizes the vibratory nature of the oscillator, which makes it an ideal candidate for reconfigurable sound recognition tasks. In this paper, the capabilities of the Hopf reservoir computer performing sound recognition are systematically ...
Md Raf E. Ul Shougat +4 more
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Physical reservoir computing—an introductory perspective [PDF]
Japanese Journal of Applied Physics, 2020 Understanding the fundamental relationships between physics and its information-processing capability has been an active research topic for many years. Physical reservoir computing is a recently introduced framework that allows one to exploit the complex dynamics of physical systems as information-processing devices.
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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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Active Shape Discrimination with Physical Reservoir Computers [PDF]
Artificial Life 14: Proceedings of the Fourteenth International Conference on the Synthesis and Simulation of Living Systems, 2014 We present the first example of ‘minimally cognitive’ sensorimotor behaviour arising from a body as physical reservoir.\ud By revisiting an experiment introduced by Beer (1996)\ud and replacing the continuous-time recurrent neural network\ud (CTRNN) therein with networks of mass-spring-dampers we\ud demonstrate that bodies may be exploited for more ...
Johnson, Chris +2 more
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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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Photonic Delay Systems as Machine Learning Implementations [PDF]
, 2015 Nonlinear photonic delay systems present interesting implementation platforms for machine learning models. They can be extremely fast, offer great degrees of parallelism and potentially consume far less power than digital processors.
Bienstman, Peter +4 more
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Skyrmion based energy-efficient straintronic physical reservoir computing
Neuromorphic Computing and Engineering, 2022 Abstract Physical Reservoir Computing (PRC) is an unconventional computing paradigm that exploits the nonlinear dynamics of reservoir blocks to perform temporal data classification and prediction tasks. Here, we show with simulations that patterned thin films hosting skyrmion can implement energy-efficient straintronic reservoir ...
Md Mahadi Rajib +4 more
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Hierarchical Composition of Memristive Networks for Real-Time Computing [PDF]
, 2015 Advances in materials science have led to physical instantiations of self-assembled networks of memristive devices and demonstrations of their computational capability through reservoir computing.
Bürger, Jens +3 more
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Scientific Reports, 2023 Reservoir computing is a brain heuristic computing paradigm that can complete training at a high speed. The learning performance of a reservoir computing system relies on its nonlinearity and short-term memory ability.
Zhiqiang Liao +5 more
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