Shimadzu had 19 patents in artificial intelligence during Q4 2023. Shimadzu Corp filed patents for a data analysis method using learning algorithm groups, a position estimator for human body parts, an FT-IR spectrum analysis apparatus, a sensibility measuring method for evaluation objects, and a meter display identification system for meters. These inventions aim to provide accurate and efficient analysis and identification processes for various applications. GlobalData’s report on Shimadzu gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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Shimadzu grant share with artificial intelligence as a theme is 36% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Data analysis method, data analysis system, and data analysis system server (Patent ID: US20230409980A1)
The patent filed by Shimadzu Corp. describes a data analysis method that involves storing different learning algorithm groups associated with specific types of measurement data and analysis, selecting a learning algorithm based on input information, and generating a trained model for analysis. The method is designed to facilitate the exchange of analysis results between a system management company and a customer who wants to analyze measurement data from a measuring device. The system includes steps for storing learning algorithm groups, receiving training data and input information, selecting the appropriate learning algorithm, generating a trained model, and acquiring the analysis result based on the trained model.
Additionally, the patent outlines a data analysis system that includes a server for generating trained models and a data processor for requesting analysis of measurement data. The server is equipped with storage for learning algorithm groups, input receivers for information and training data, a learning algorithm selector, a trained model generator, and an analysis result acquirer. This system is designed to streamline the process of data analysis between a system management company and a customer by efficiently selecting learning algorithms, generating trained models, and acquiring analysis results based on the input information provided.
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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.
