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 ...

Reservoir computing is a promising machine learning-based approach for the analysis of data that changes over time, such as weather patterns, recorded speech or stock market trends. Classical ...

“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 ...

Researchers at the University of Tokyo have identified a precise sweet spot where quantum reservoir computing, a machine learning approach that treats quantum systems as computational engines, reaches ...

Traditional cloud computing faces various challenges when processing large amounts of data in real time. 'Edge' computing is a promising alternative and can benefit from devices known as physical ...

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 ...