Intelligent control systems that integrate neural networks with emotional learning constitute a promising frontier in computational intelligence. These approaches combine the powerful pattern ...

A neural-network-based controller adapts in real time to switching reference signals in piezoelectric nano-positioning stages ...

NPU-equipped MCUs open the door to optimized edge AI in systems ranging from wearable health monitors to physical AI in ...

A new study published in Engineering introduces a neural-network-based switching output regulation controller (NN-SORC) for high-speed ...

As traditional power plants are replaced by intermittent sources like solar and wind, maintaining grid stability has become a complex engineering challenge. Hussain Khan’s doctoral dissertation at the ...

Struggling with hysteresis and slow computing in high-speed nano-positioning systems? A new study in Engineering presents a ...

MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO), today announced that they have developed a set of quantum algorithms for feedforward neural networks, breaking through the performance ...

Researchers have proposed a Fourier graph neural network for estimating the state of health of lithium-ion batteries while ...