The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jan. 21, 2025

Filed:

Apr. 07, 2021
Applicant:

Commissariat a L'energie Atomique ET Aux Energies Alternatives, Paris, FR;

Inventors:

Thomas Dalgaty, Grenoble, FR;

Niccolo Castellani, Grenoble, FR;

Elisa Vianello, Grenoble, FR;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 3/065 (2023.01); G06N 3/047 (2023.01); G06N 3/08 (2023.01); G11C 13/00 (2006.01);
U.S. Cl.
CPC ...
G06N 3/065 (2023.01); G06N 3/047 (2023.01); G06N 3/08 (2013.01); G11C 13/0021 (2013.01);
Abstract

A Bayesian neural network including an input layer, and, an output layer, and, possibly, one or more hidden layer(s). Each neuron of a layer is connected at its input with a plurality of synapses, the synapses of the plurality being implemented as a RRAM array constituted of cells, each column of the array being associated with a synapse and each row of the array being associated with an instance of the set of synaptic coefficients, the cells of a row of the RRAM being programmed during a SET operation with respective programming current intensities, the programming intensity of a cell being derived from the median value of a Gaussian component obtained by GMM decomposition into Gaussian components of the marginal posterior probability of the corresponding synaptic coefficient, once the BNN model has been trained on a training dataset.


Find Patent Forward Citations

Loading…