In recent years, power consumption by machine learning technologies, represented by deep learning and generative artificial ...

Balancing electronic and ionic charge carriers in polymer nanofilms significantly improves physical reservoir computing, a ...

AI needs data centers with high power density, as well as changing power and cooling requirements. Hyperscalers require high-capacity data centers to meet the escalating power needs of AI and ...

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 ...

“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)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 ...

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 ...