The hybrid memory system combines the best traits of ferroelectric capacitors and memristors in a single memory stack.

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

First hybrid memory technology to support adaptive local training and inference of artificial neural networks unveiled.

Project demonstrated that it is possible to perform on-chip training with competitive accuracy, sidestepping the need for off ...

A new technical paper titled “An Ultra-Robust Memristor Based on Vertically Aligned Nanocomposite with Highly Defective ...

A prototype chip combines Ferroelectric capacitor and memoristor to handle both learning and predicting data to run AI ...

Hybrid memory technology enables Edge devices to learn from real-world data without relying on Cloud infrastructure.

A single structure built in the metal layers of an IC can implement both machine learning and analogue AI inferencing, according to a French team led by Grenoble lab CEA-Leti – and the CMOS below can ...

Researchers at the University of Greifswald, International Iberian Nanotechnology Laboratory, Max Planck Institute for the ...

Negative differential resistance, sometimes called negative dynamic resistance (NDR), occurs when an increase in voltage ...