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Showing 1–4 of 4 results

Advanced filters: Author: Clément Turck Clear advanced filters

A memristor-based Bayesian machine

A Bayesian machine can be implemented in a system with distributed memristors, allowing it to locally perform computation with minimal energy movement.

Kamel-Eddine Harabi
Tifenn Hirtzlin
Damien Querlioz
Research19 Dec 2022
Nature Electronics

Volume: 6, P: 52-63
The logarithmic memristor-based Bayesian machine

Clement Turck and colleagues present an alternative computing platform leveraging the property of logarithm to transfer multiplication operation into addition. They demonstrate the energy efficiency and superior performance of the prototype on gesture recognition and sleep stage recognition benchmark tasks.

Clément Turck
Kamel-Eddine Harabi
Damien Querlioz
ResearchOpen Access26 Feb 2025
Communications Engineering

Volume: 4, P: 1-11
Powering AI at the edge: A robust, memristor-based binarized neural network with near-memory computing and miniaturized solar cell

The authors present an AI engine with 32,768 memristors powered by a miniature solar cell. This circuit exploits near-memory computing, naturally adjusting its accuracy depending on the illumination level, and paves the way for self-powered AI.

Fadi Jebali
Atreya Majumdar
Jean-Michel Portal
ResearchOpen Access25 Jan 2024
Nature Communications

Volume: 15, P: 1-12
In situ learning using intrinsic memristor variability via Markov chain Monte Carlo sampling

The non-ideal characteristics of resistive memory devices can be used to develop low-power and resilient probabilistic neuromorphic computing hardware, suitable for highly constrained edge-based applications.

Thomas Dalgaty
Niccolo Castellani
Elisa Vianello
Research18 Jan 2021
Nature Electronics

Volume: 4, P: 151-161