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Jean-Michel Portal

Researcher at Centre national de la recherche scientifique

Publications -  145
Citations -  2335

Jean-Michel Portal is an academic researcher from Centre national de la recherche scientifique. The author has contributed to research in topics: Resistive random-access memory & Artificial neural network. The author has an hindex of 25, co-authored 136 publications receiving 2047 citations. Previous affiliations of Jean-Michel Portal include Alternatives & Aix-Marseille University.

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Journal ArticleDOI

Non-Volatile Flip-Flop Based on Unipolar ReRAM for Power-Down Applications

TL;DR: The architecture of the RNVFF, based on the insertion of a non-volatile memory block before a master-slave Flip-Flop, is detailed and is fully validated through electrical simulations.
Proceedings ArticleDOI

In-memory resistive RAM implementation of binarized neural networks for medical applications

TL;DR: This work suggests strategies to apply BNNs to biomedical signals such as electrocardiography and electroencephalography, keeping accuracy level and reducing memory requirements, and investigates the memory-accuracy trade-off when binarized whole network and binarizing solely the classifier part.
Posted Content

Implementing Binarized Neural Networks with Magnetoresistive RAM without Error Correction

TL;DR: In this paper, the authors show that bit errors can be tolerated by binarized neural networks to an outstanding level, based on examples of image recognition tasks (MNIST, CIFAR-10 and ImageNet): bit error rates of ST-MRAM up to 0.1% have little impact on recognition accuracy.
Journal ArticleDOI

Dégradation de l'isoproturon et disponibilité de ses résidus dans le sol

TL;DR: In this article, the degradation half-life of extractable isoproturon was an estimated 14 days, and 72% of the radiolabel added remained in the soil as non-extractable residue.
Proceedings ArticleDOI

Resistive memories: which applications?

TL;DR: The first application is FPGA, one of the first architecture that can benefit the most from ReRAM integration to reduce footprint and save energy, and the second application relates to ultra-low-power systems and the way to obtain an instantaneous "freeze" mode in devices for Internet of Things.