Hitachi had 202 patents in artificial intelligence during Q4 2023. Hitachi Ltd filed patents in Q4 2023 for a training server that classifies and updates models from client devices, a system for monitoring water damage in shipping containers, an electronic control device for intake air flow rate correction, a predictor creation device for ensemble predictors calibration, and a cell sheet cutting assistance system based on quality evaluation. GlobalData’s report on Hitachi gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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Hitachi grant share with artificial intelligence as a theme is 33% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Learning system and learning method (Patent ID: US20230419108A1)
The patent filed by Hitachi Ltd. describes a learning system that includes a training server, client devices, and a training data management server. The training server manages a common model, while the client devices and the training data management server manage individual data and generate individual models based on the common model and individual data. The training server classifies the common model and individual models received from the client devices based on the individual model from the training data management server and updates them according to the classification result. Additionally, the system allows for the application of attributes to individual models for more specific classification.
Furthermore, the learning system includes a shuffle server for random order shuffling or applying identifiers to the common model and individual models before transmitting them to the training server. The system also ensures data security by allowing the client devices and training data management server to generate a one-time common key and encode the models with the training server's public key before transmission. The training server then decodes the models using its private key for classification and updating based on the received individual models. Overall, the system optimizes the common model and individual models by aggregating the common model according to the classification result to enhance the individual models, which are then transmitted back to the client devices for improved learning outcomes.
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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.
