Memristors, or “memory resistors,” are the leading candidate for replacing synapses in a neuromorphic (brain-like) computer.

However, researchers at the University of Michigan are claiming the first memristor-based programmable computer that has the potential to make AI applications more efficient and faster.

A new kind of memristor mimics how the brain learns by combining analog and digital behavior, offering a promising solution ...

A smaller, lighter and more energy-efficient computer, demonstrated at the University of Michigan, could help save weight and ...

But in 1971, [Leon Chua] introduced the idea of a memristor — a sort of resistor with memory. HP created one in 2008 and since then we haven’t really had the burning need to use one.

Memristor-based devices could be used to develop more compact and energy-efficient hardware for running AI models, including ...

Memristors are resistive memory components capable of storing and processing information by varying their electrical resistance. While earlier generations based on electrochemical metallization (ECM) ...

Researchers have conducted groundbreaking research on memristor-based brain-computer interfaces (BCIs). This research presents an innovative approach for implementing energy-efficient adaptive ...

Professor Ngai Wong and Dr Zhengwu Liu from the Department of Electrical and Electronic Engineering at the Faculty of ...