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

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

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

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

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 ...

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

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

Innovative optoelectronic memristors enable efficient in-sensor edge computing, reducing latency and power consumption while ...

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

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

Abstract: The rapid expansion of the Internet of Things (IoT) necessitates unprecedented resource efficiency in sensor-edge hardware to implement artificial intelligence (AI). A memristor-based ...

Abstract: 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 ...