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 ...
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