This review describes various types of low-power memristors, demonstrating their potential for a wide range of applications. This review summarizes low-power memristors for multi-level storage, ...

Tested against a dataset of handwritten images from the Modified National Standards and Technology database, the interface-type memristors realized a high image recognition accuracy of 94.72%. (Los ...

In recent years, neuromorphic computing has emerged as one of the most efficient solutions for managing the vast amounts of data generated by conventional information technologies. Its systems are ...

A research team led by Professor Sanghyeon Choi from the Department of Electrical Engineering and Computer Science at DGIST ...

(Nanowerk News) A novel device consisting of metal, dielectric, and metal layers remembers the history of electrical signals sent through it. This device, called a memristor, could serve as the basis ...

A breakthrough in neuromorphic computing could lower the energy consumption of chips and accelerate progress toward artificial general intelligence (AGI). Researchers from the USC Viterbi School of En ...

USC researchers built artificial neurons that replicate real brain processes using ion-based diffusive memristors. These ...

Researchers from the University of Southern California, University of Massachusetts, University of California Los Angeles, ...

A new technical paper titled “An Ultra-Robust Memristor Based on Vertically Aligned Nanocomposite with Highly Defective Vertical Channels for Neuromorphic Computing” was published by researchers at ...

Neuromorphic chips that process information like the human brain—this is the goal of physicist Heidemarie Krüger and her ...