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Showing 1–3 of 3 results
Advanced filters: Author: Sylvain Saïghi Clear advanced filters

  • A memory technology that combines the functions of memristors and ferroelectric capacitors in a single stack can be used for on-chip training and inference of artificial neural networks.

    • Michele Martemucci
    • François Rummens
    • Elisa Vianello
    ResearchOpen Access
    Nature Electronics
    P: 1-13

  • Spintronic nano-neurons and synapses can be connected by radiofrequency signals into neural networks that are capable of classifying real-world radiofrequency inputs without digitization at high speed and with low energy costs—an important step for artificial intelligence at the edge.

    • Andrew Ross
    • Nathan Leroux
    • Julie Grollier
    Research
    Nature Nanotechnology
    Volume: 18, P: 1273-1280

  • Accurate modelling of memristor dynamics is essential for the development of autonomous learning in artificial neural networks. Through a combined theoretical and experimental study of the polarization switching process in ferroelectric memristors, Boynet al. establish a model that enables learning and retrieving patterns in a neural system.

    • Sören Boyn
    • Julie Grollier
    • Vincent Garcia
    ResearchOpen Access
    Nature Communications
    Volume: 8, P: 1-7