NEC had 279 patents in artificial intelligence during Q4 2023. NEC Corp filed patents in Q4 2023 for machine learning methods to accurately detect abnormalities in mobile networks, learn and apply rule sets from relational data, detect traffic events using deep neural networks, generate machine learning models for classification tasks, and predict remaining life of maintenance targets using neural networks. GlobalData’s report on NEC gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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NEC grant share with artificial intelligence as a theme is 43% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Learning data extracting apparatus, inference apparatus, and learning data extracting method (Patent ID: US20230421458A1)
The patent filed by NEC Corp. describes a learning data extracting apparatus designed to accurately detect abnormalities in a mobile network while reducing normal state patterns. The apparatus issues network service use requests, obtains time series data related to communication apparatuses, and extracts data for machine learning based on the successful completion of processes in response to the service requests. The apparatus can also extract data from processes that end abnormally and assign labels indicating the state of the control plane. Additionally, the apparatus adjusts the issuance status of service requests based on communication terminal operation status and time information.
The patent also includes an inference apparatus and a learning data extracting method that follow similar processes to the learning data extracting apparatus. These methods involve generating a learned model through machine learning with time series data, determining communication apparatus states using the model, and adjusting the issuance status of service requests based on communication terminal activity and time information. The methods aim to improve the accuracy of abnormality detection in mobile networks by focusing on successful and abnormal process completions in response to service requests.
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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.
