A gelatin memristor with 16 stable conductance states mimics biological pain perception, rating intensity, sensitizing after ...

A new neuromorphic element called a “spin-memristor” mimics the energy-efficient operation of the human brain to reduce the power consumption of artificial intelligence (AI) applications to 1/100th of ...

A research team from the Institute of Modern Physics of the Chinese Academy of Sciences and Lanzhou University has obtained ...

Researchers from the Institute of Science Tokyo and Canon ANELVA Corporation built an ultrathin ferroelectric memory ...

Researchers developed an Ag/Sb2O3/Au memristor array that mimics brain-like computing, performing on-device image feature extraction with low power consumption, promising smarter and faster electric ...

Schematic and operation of a capacitorless active-matrix micro-LED pixel, where a single memristor (1M) substitutes both the storage capacitor and the driving TFT. The compact 1M cell can be ...

There is a disparity between the level of power necessary for a human brain to make complex decisions and the power consumption required by AI processors to do the same. By mimicking the ...

Since the dawn of the artificial intelligence (AI) revolution, innovators have struggled with the fundamental limitations of traditional computing architectures for training and running data-hungry ...

A technical paper titled “ReMeCo: Reliable Memristor-Based in-Memory Neuromorphic Computation” was published by researchers at Eindhoven University of Technology, University of Tehran, and USC.

Hewlett-Packard has teamed up with Hynix Semiconductor to make a new kind of fundamental circuit for semiconductor chips. The alliance is a sign that HP’s breakthrough designs for memory circuits ...