Invention Application
- Patent Title: PROCESS FOR DETECTION OF EVENTS OR ELEMENTS IN PHYSICAL SIGNALS BY IMPLEMENTING AN ARTIFICIAL NEURON NETWORK
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Application No.: US17968163Application Date: 2022-10-18
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Publication No.: US20230131067A1Publication Date: 2023-04-27
- Inventor: Pierre Demaj , Laurent Folliot
- Applicant: STMicroelectronics (Rousset) SAS
- Applicant Address: FR Rousset
- Assignee: STMicroelectronics (Rousset) SAS
- Current Assignee: STMicroelectronics (Rousset) SAS
- Current Assignee Address: FR Rousset
- Priority: FR2111300 20211025
- Main IPC: G06N3/02
- IPC: G06N3/02 ; G06K9/00

Abstract:
According to one aspect, a method is proposed for detecting events or elements in physical signals by implementing an artificial neural network. The method includes an assessment of a probability of the presence of the event or the element by an implementation of the neural network. The implementation of the neural network according to a nominal mode takes as input a physical signal having a first resolution, called nominal resolution, when the probability of presence of the event or the element is greater than a threshold. The implementation of the neural network according to a low power mode takes as input a physical signal having a second resolution, called reduced resolution, lower than the first resolution, when the probability of presence of the event or the element is below the threshold.
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