Thales had 22 patents in artificial intelligence during Q4 2023. Thales filed patents in Q4 2023 for a data classifier using transfer learning, an electronic system for monitoring operator awareness in aircraft control stations, an audio acquisition and reproduction module with a USB interface, and systems for improved human-machine dialog including bidirectional translations and display of intermediate reasoning. GlobalData’s report on Thales gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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Thales grant share with artificial intelligence as a theme is 54% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Hybrid machine learning architecture and associated methods (Patent ID: US20230385384A1)
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The patent filed by Thales SA describes a method for building a computer-implemented data classifier that combines Probabilistic Graphical Models (PGM) with machine learning models through transfer learning. The classifier is designed to classify data from a specific context by extending the PGM with variables representing outputs of machine learning models. The method involves obtaining a PGM with observable and class variables, training a machine learning model on a different set of observable variables, and then extending the PGM with extension variables corresponding to the outputs of the machine learning model. The extended model is then trained using a training set that includes data from the specified context, resulting in an enhanced PGM with dependencies between observable, class, and extension variables.
Furthermore, the claims associated with the patent detail the specific steps and configurations involved in the method, such as the direct dependencies between variables, the incorporation of machine learning models as latent representations, and the application of the method to various contexts like combat management systems and anomaly detection in IT systems. The patent also covers the implementation of the method in a data processing system, a computer program, and a computer-readable medium. Overall, the patent outlines a novel approach to data classification that leverages both PGM and machine learning models to improve the accuracy and efficiency of classification tasks within specific contexts.
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