Toshiba had 85 patents in artificial intelligence during Q2 2024. Toshiba Corp filed patents in Q2 2024 for a management apparatus to optimize production parameters based on quality evaluation, an electronic apparatus for tracking exercise repetitions and user authentication, a learning method for action selection and parameter updating, a document classification apparatus using word embedding vectors, and a learning apparatus for feature value conversion and parameter optimization. GlobalData’s report on Toshiba gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Toshiba had no grants in artificial intelligence as a theme in Q2 2024.
Recent Patents
Application: Management apparatus, management method, and storage medium (Patent ID: US20240208126A1)
The patent filed by Toshiba Corp. describes a management apparatus that utilizes a processor to calculate a prediction formula based on parameters for part production and quality evaluation. The processor then determines an optimum value for these parameters and displays a graph illustrating the relationship between the prediction formula and the optimum value. The apparatus can recalculate the prediction formula based on updated information or user input, adjust the formula based on influential parameters, and make further adjustments if the evaluation value falls outside a threshold range.
Additionally, the patent includes claims for a management method and a computer-readable storage medium storing a management program that perform similar functions as the management apparatus. These claims outline the steps of calculating the prediction formula, determining the optimum parameter values, and displaying a graph to represent the relationship between the prediction formula and the optimum values. The method and program also allow for recalculations, adjustments based on user input, and modifications to the prediction formula to ensure the evaluation value remains within a specified threshold range.
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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.
