They showed that conventional reservoir computing (RC), a type of RNN, can be viewed as a linear approximation, and introduced a 'generalized readout' incorporating further order approximations.

Reservoir computing is said to be improved by reducing the amount of computation needed; it is faster and more computationally efficient. The innovation is said to be inspired by how the brain works.

The technology demonstrated significantly higher information processing performance than conventional physical reservoir computing devices, underscoring its potential to transform AI technologies.

Reservoir computing (RC) is a powerful machine learning module designed to handle tasks involving time-based or sequential data, like tracking patterns over time or analyzing sequences.

Scientists have developed a new kind of laser-based artificial neuron that mimics a biological nerve cell. This artificial ...

Abstract: This paper builds upon our previous work on photonic reservoir computing, presenting an enhanced artificial neural network (NN) integrated on a photonic integrated circuit (PIC) for the ...

Rigetti Computing, IonQ, Booz Allen Hamilton, D-Wave Quantum, and Quantum Computing are the five Quantum Computing stocks to watch today, according to MarketBeat’s stock screener tool. Quantum ...

Additionally, it also produces reservoir computing hardware that can efficiently process data at high speeds while offering remote sensing capabilities. At the heart of it all is its novel ...

South Africa’s burgeoning data centre industry yesterday received presidential backing, with Cyril Ramaphosa saying the ...