BAE Systems had 15 patents in artificial intelligence during Q4 2023. BAE Systems Plc filed 11 patents in Artificial Intelligence theme during Q4 2023. The patent filed by BAE Systems Plc in Q4 2023 describes a method for recognizing patterns in a signal by converting data into features, identifying feature transitions, creating a directed graph, and detecting patterns based on user-defined thresholds. GlobalData’s report on BAE Systems gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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BAE Systems grant share with artificial intelligence as a theme is 26% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Pattern recognition in signals (Patent ID: US20230315806A1)
The patent filed by BAE Systems Plc describes a method for pattern recognition in a signal. The method involves receiving a signal with data, converting the data into a collection of features based on specific criteria, identifying transitions between features, plotting a directed graph of these transitions, and detecting patterns by comparing the weights of transitions to a user-defined threshold. The system can define features as unique sequences of values, compare data to specific sequences, and delta times, and display the detected patterns on a display device.
Additionally, the patent includes claims for a pattern recognition system and a computer program product that implement the method described. These claims detail the process of converting data into features, identifying transitions, plotting graphs, and detecting patterns based on weights of transitions. The system and computer program product also include features for defining sequences of values, comparing data to specific sequences, and displaying the detected patterns. Overall, the patent outlines a comprehensive method, system, and program for efficient pattern recognition in signals using directed graphs and user-defined thresholds.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
