As an emerging memory device, memristor shows great potential in neuromorphic computing applications due to its advantage of low power consumption. This review paper focuses on the application of ...

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

A Chip Has Broken the Critical Barrier That Could Ultimately Begin the Singularity A self-learning memristor is our closest step yet to recreating synapses in the human brain.

New memristor design promises breakthrough in AI memory stability Memristors are resistive memory components capable of storing and processing information by varying their electrical resistance. While ...

This study describes a VDBA (Voltage Differencing Buffered Amplifier)-based memristor emulator and its use in an instrumentation amplifier for biomedical applications. The proposed grounded and ...

As artificial intelligence models become increasingly advanced, electronics engineers have been trying to develop new hardware that is better suited for running these models, while also limiting power ...

The Middle East Technical University (METU) in Ankara has developed a neuristor device with a micro-electromechanical system (MEMS) that could extend phone battery life to an entire year.

By using the nonvolatile and stochastic properties of memristor, memristors crossbar arrays can efficiently accelerate Bayesian neural networks (BNNs). However, Bayesian convolutional neural networks ...

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