In recent years, power consumption by machine learning technologies, represented by deep learning and generative artificial ...

Balancing electronic and ionic charge carriers in polymer nanofilms significantly improves physical reservoir computing, a ...

Few-molecule reservoir computing is an emerging paradigm in nanoscale information processing that harnesses the complex dynamics of small ensembles of molecules to perform computational tasks. By ...

“Reservoir computing is a best-in-class machine learning algorithm for processing information generated by dynamical systems using observed time-series data. Importantly, it requires very small ...

A group of Tohoku University researchers has developed a theoretical model for a high-performance spin wave reservoir computing (RC) that utilizes spintronics technology. The breakthrough moves ...

(a)Schematic diagram of a mixed physical node RC system based on LES, which builds mixed physical node by two signals of current and light intensity. (b)Schematic of the handwritten digit image and ...