EDN

Hybrid system resolves edge AI’s on-chip memory conundrum

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

First hybrid memory technology enables on-chip AI learning and inference

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

Single Memory Chip Enables On-Device Training, Prediction Data

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

French team led by CEA-Leti develops first hybrid memory tech enabling on-chip AI learning and inference

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

IC combines machine learning and analogue inferencing

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 ...

A New Brain-on-a-Chip May Usher in the Beginning of the Singularity

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

Research Bits: Sept. 23

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

Organic Memristor Powers Ultra-Efficient In-Sensor Edge Computing

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