Reservoir computing is an approach to make machine learning algorithms run faster. The word reservoir refers to a dynamical system. The reservoir consists of a bunch of recurrently connected units ...

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 ...

(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 ...

“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 new technical paper titled “Optical next generation reservoir computing” was published by researchers at Sorbonne Université, CNRS, Tsinghua University, University of Hong Kong, and University of ...

TDK and Hokkaido University are to demonstrate real-time learning in a ‘reservoir’ analogue AI chip that mimics the cerebellum at CEATEC in Japan. Reservoir computing is not deep-learning, where there ...