NEC had 366 patents in artificial intelligence during Q1 2024. NEC Corp filed patents in Q1 2024 for an information processing system to improve accuracy in analyzing road images, a system for learning cost functions for selecting relay points and route designs, methods for training models to distinguish hidden states in monitored systems, a device to detect detailed walking events using sensor data, and a method for learning logical rules over graph structured data for predictions in machine learning systems. GlobalData’s report on NEC gives a 360-degree 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 22% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Information processing system, information processing method, and non-transitory storage medium (Patent ID: US20240104680A1)
The patent filed by NEC Corp. describes an information processing system designed to enhance the accuracy of results obtained from analyzing images of roads using a machine learning model. The system includes components for processing road images, generating capturing situation information related to the image capture, and storing the image based on this information. The capturing situation information encompasses details such as capturing timing, conditions, apparatus information, and road characteristics, which are crucial for improving the analysis accuracy.
Furthermore, the system involves utilizing analysis models to acquire capturing conditions and road information from the images, along with incorporating external data and settings for generating comprehensive capturing situation information. The system also includes mechanisms for deciding whether to store the image based on the capturing situation information and specific storage conditions, ensuring that only relevant images are stored for machine learning purposes. Overall, the patent outlines a sophisticated information processing system tailored for collecting and analyzing machine learning images of roads with a focus on enhancing accuracy and efficiency through detailed capturing situation information.
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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.
