Speech recognition, weather forecasts, smart home applications: Artificial intelligence and the Internet of Things are enhancing our everyday lives. Systems based on reservoir computing are a very ...

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 ...

Researchers have designed a tunable physical reservoir device based on the dielectric relaxation at an electrode-ionic liquid interface. Physical reservoir computing (PRC), which relies on the ...

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 ...

Reservoir computing is suited for edge-AI use cases, such as signal processing, time-series forecasting, and pattern recognition, where rapid response and compact systems are essential. In this ...

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 ...

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 ...

“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 ...