A research team led by Prof. Tianyu Wang and Jialin Meng from the School of Integrated Circuits and State Key Laboratory of Crystal Materials at Shandong University has developed the world’s first ...

So-called neuromorphic computing involves the use of physical artificial neurons to do computing in a way that is inspired by the human brain. With photonic neuromorphic computing these artificial ...

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 ...

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 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 ...