Hybrid memory technology enables Edge devices to learn from real-world data without relying on Cloud infrastructure.
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 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 ...
AZoLifeSciences on MSN
Astrocytes Found to Integrate Signals from Multiple Neurons
A collaborative French-Swiss study reveals a previously unknown role for astrocytes in the brain's information processing.
A collaborative French–Swiss study reveals a previously unknown role for astrocytes in the brain's information processing.
A collaborative French-Swiss study reveals a previously unknown role for astrocytes in the brain's information processing. Dozens of synapses ...
In binary star systems, the behavior of protoplanetary disks presents complex challenges to existing models. A research team from the University of Grenoble Alpes, including Pedro P. Poblete, Nicolás ...
MIT technology creates 3D models of fetuses with artificial intelligence and could revolutionize prenatal diagnostics with ...
MIT and collaborators have developed "Fetal SMPL," a machine-learning tool providing 3D representations of fetal development.
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