It now appears that neural nets may be the next frontier in the advance of computing technology as a whole. But what are ...

When two-dimensional electron systems are subjected to magnetic fields at low temperatures, they can exhibit interesting ...

In this paper, it is proposed a methodology of automatic PD classification in hydro-generator stator windings using neural networks. The database is formed from online PD measurements in ...

Classical hysteresis models, neural networks and hybrid combinations of the two are included. Our results show that modeling accuracy is best when models are trained using motions corresponding to the ...

Abstract: In this article, an energy-efficient spike domain deep-neural-network processor (SNPU) is proposed. Recently, many sparsity-aware processors were proposed to increase energy efficiency.

Two text blocks, one with A and another with a Chinese character, connected by an arrow. Below, six person icons and a neural network diagram. Ideal for translation, communication, AI, neural ...