To better understand the underlying phenomenon driving nonvolatile memristor memory, the researchers focused on a device known as resistive random access memory or RRAM, an alternative to the volatile ...

Nick Harris, boss of Lightmatter, a California-based photonic-chip startup, points out that optical computers are not good ...

Such devices are part of neuromorphic computing, an advanced field focusing on the development of brain-like computers. The ...

Newly discovered role of phase separation can help develop memory devices for energy-efficient AI computing. Researchers have ...

IISc Bengaluru scientists have created a cutting-edge neuromorphic platform that mimics the human brain and can be used to ...

Abstract: This study develops the space-time sampled-data control problem for memristor-based reaction-diffusion neural networks (MRDNNs) using a memory event-triggering scheme. Unlike traditional ...