In nonlinear dynamic systems, a change in one place can trigger an outsized change elsewhere. The climate, the workings of the human brain, and the behavior of the electric grid are all examples — and ...

A research team at Tohoku University and Future University Hakodate has demonstrated that living biological neurons can be trained to perform a supervised temporal pattern learning task previously ...

(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 ...

HOBOKEN, N.J. , Nov. 17, 2025 /PRNewswire/ -- Quantum Computing Inc. ("QCi" or the "Company") (Nasdaq: QUBT), an innovative, integrated photonics and quantum optics technology company, today announced ...

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 ...

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 ...

Researchers have managed to enhance the framework of Brownian reservoir computing by recording and transferring hand gestures to the system which then used skyrmions to detect these individual ...

Researchers from the Institute for Molecules and Materials at Radboud University, Netherlands, have demonstrated that a complex self-organizing chemical reaction network can perform various ...

Balancing electronic and ionic charge carriers in polymer nanofilms significantly improves physical reservoir computing, a brain-inspired approach that harnesses material dynamics instead of ...