Bridgestone had 11 patents in artificial intelligence during Q1 2024. Bridgestone Corp filed patents in Q1 2024 for an estimation device using electrical properties to estimate object shapes, a non-pneumatic tire design with interconnected web elements for load support, and a machine learning method for developing composite tire tread compounds based on existing recipes and dynamic properties. GlobalData’s report on Bridgestone gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Bridgestone grant share with artificial intelligence as a theme is 36% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Estimation device, estimation method, estimation program, and learning model generation device (Patent ID: US20240104374A1)
The patent filed by Bridgestone Corp. describes an estimation device that uses a conductive flexible material and a learning model to estimate the shape of an object based on the electrical property of the material. The learning model is trained to use data on the electrical property that changes over time in response to deformation of the material and shape information representing the shapes of pressure stimuli that cause deformation. The device includes a detection unit to detect the electrical property and an estimation unit to estimate the shape information of the target object.
The flexible material used in the device has an electrical property that changes in response to deformation, and the learning model is trained to output shape information corresponding to the detected electrical property. The electrical property of the material can be volume resistance, and the material itself can be a conductive material like urethane with a fibrous skeleton or microscopic air bubbles. The learning model is generated by training it using a network obtained through reservoir computing with the flexible material as a reservoir. Overall, the patent describes a sophisticated system for estimating object shapes based on the electrical properties of a flexible material, offering potential applications in various fields.
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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.
