Results 21 to 30 of about 7,314,717 (264)

Fast physical reservoir computing, achieved with nonlinear interfered spin waves

Neuromorphic Computing and Engineering
Reservoir computing is a promising approach to implementing high-performance artificial intelligence that can process input data at lower computational costs than conventional artificial neural networks.
Wataru Namiki, Daiki Nishioka, Takashi Tsuchiya, Kazuya Terabe   +3 more
doaj   +2 more sources

Noise-Robust conceptors for physical reservoir computing: adaptation to perturbations

Neuromorphic Computing and Engineering
Conceptors are a powerful extension of reservoir computing (RC) that enable the selective recall and stabilization of internal dynamics. However, their application to physical RC remains challenging because measured reservoir states are inevitably ...
Gemma Infantes-Llinares, Hongki Kang, Miguel C Soriano   +2 more
doaj   +2 more sources

Embodying physical computing into soft robots [PDF]

Nature Communications
Softening and onboarding computers and controllers is one of the final frontiers in soft robotics towards their robustness and intelligence for everyday use. In this regard, embodying soft and physical computing presents exciting potential.
Jun Wang, Ziyang Zhou, Ardalan Kahak, Suyi Li   +3 more
doaj   +2 more sources

Photonic Physical Reservoir Computing with Tunable Relaxation Time Constant. [PDF]

Adv Sci (Weinh)
Yamazaki Y, Kinoshita K.
europepmc   +2 more sources

Spatial analysis of physical reservoir computers

Physical Review Applied, 2023
7 Pages, 5 ...
Jake Love, Robin Msiska, Jeroen Mulkers, George Bourianoff, Jonathan Leliaert, Karin Everschor-Sitte   +5 more
openaire   +3 more sources

Physical reservoir computing—an introductory perspective [PDF]

Japanese Journal of Applied Physics, 2020
Abstract 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.
openaire   +3 more sources

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, Jake Love, Jeroen Mulkers, Jonathan Leliaert, Karin Everschor-Sitte   +4 more
doaj   +1 more source

A perspective on physical reservoir computing with nanomagnetic devices

Applied Physics Letters, 2023
Neural networks have revolutionized the area of artificial intelligence and introduced transformative applications to almost every scientific field and industry. However, this success comes at a great price; the energy requirements for training advanced models are unsustainable.
Allwood, D.A., Ellis, M.O.A., Griffin, D., Hayward, T.J., Manneschi, L., Musameh, M.F.K.H., O'Keefe, S., Stepney, S., Swindells, C., Trefzer, M.A., Vasilaki, E., Venkat, G., Vidamour, I., Wringe, C.   +13 more
openaire   +3 more sources

Reservoir computing with output feedback [PDF]

, 2011
Reinhart RF. Reservoir computing with output feedback. Bielefeld: Bielefeld University; 2011.A dynamical system approach to forward and inverse modeling is proposed. Forward and inverse models are trained in associative recurrent neural networks that are
Reinhart, René Felix, Reinhart, Felix
core   +1 more source

Quantum reservoir computing in finite dimensions [PDF]

, 2023
Most existing results in the analysis of quantum reservoir computing (QRC) systems with classical inputs have been obtained using the density matrix formalism.
Ortega, Juan-Pablo, Martínez-Peña, Rodrigo   +1 more
core   +1 more source