Panasonic had 107 patents in artificial intelligence during Q4 2023. Panasonic Holdings Corp filed patents in Q4 2023 for methods and systems related to information processing, causal inference machine learning models, data analysis devices, neural network parameter learning, and an intraoral camera system for identifying tooth types and positions. These patents involve training inference models, statistical background subtraction, difference model derivation, network parameter learning, and tooth identification based on image data and orientation detection. GlobalData’s report on Panasonic gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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Panasonic grant share with artificial intelligence as a theme is 34% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Information processing method, information processing system, and recording medium (Patent ID: US20230419177A1)
The patent filed by Panasonic Holdings Corp. describes an information processing method that involves obtaining inference results from two different models and training the second model using machine learning to reduce errors between the two results. The training process includes updating coefficients based on predetermined conditions related to convergence, with the second coefficient being the primary target for updates when the condition is satisfied. The method aims to improve the accuracy of the second inference model by adjusting coefficients based on error calculations from the inference results.
Additionally, the patent includes claims related to the training process, the use of neural network models, specific components within the second inference model such as Batch Normalization layers and quantizers, and conditions for determining convergence. The error calculations used for training the second model include differences between inference results, intermediate layer outputs, and determination information. The patent also covers scenarios where a third inference result is obtained to further refine the training process. Furthermore, the patent extends to an information processing system incorporating the described method and a computer-readable medium containing the program for executing the method.
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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.
