The growing use of artificial intelligence (AI)-based models is placing greater demands on the electronics industry, as many ...

Researchers at Wuhan University have developed new, more effective memristors using special metallic materials.

TDK’s spin-memristor for neuromorphic applications can potentially lower the power use of AI processors to 1/100 of ...

TDK Corp. has created a spin-memristor for neuromorphic computing, which could reduce AI power consumption by up to 99%.

Researchers developed a memristor with metal-dielectric layers that remembers electrical signals. Its metal-dielectric ...

In a recent article published in the National Science Review, based in Beijing, Professor Xingbin Yan and his research team ...

Scalable production here Boffins from Queen Mary University of London and Paragraf  have taken a significant step forward in ...

A team including researchers from Seoul National University College of Engineering has developed neuromorphic hardware ...

Researchers have shown that a novel memristor device consisting of metal, dielectric, and metal layers remembers the history ...