Olympus had two patents in big data during Q4 2023. The patent filed by Olympus Corp in Q4 2023 describes an inference learning device that uses input data from a data acquisition device to create an inference model through learning with annotated training data. The device processes data obtained in time series, creating provisional training data by annotating data obtained within a specific time frame and selecting data with a high causal relationship with the initial data as adopted training data for learning. GlobalData’s report on Olympus gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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Olympus grant share with big data as a theme is 50% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Inference learning device and inference learning method (Patent ID: US20230394800A1)
The patent filed by Olympus Corp describes an inference learning device that involves inputting data from a data acquisition device, learning an inference model using training data obtained through data annotation, and processing data obtained continuously in time series to create provisional training data based on a causal relationship with data from a previous time. The device is particularly focused on image data processing, where metadata related to images is used to determine causal relationships and guide user actions based on the displayed images.
The claims associated with the patent detail the specific functionalities and applications of the inference learning device, such as determining causal relationships between cause and effect data in images, predicting changes after an event, and creating training data based on image appearance changes over time. The method outlined in the patent involves inputting data from an image acquisition device, creating provisional training data based on causal relationships, and obtaining an inference model through learning using the adopted training data. Overall, the patent highlights the innovative approach of using metadata and image processing techniques to infer causal relationships and provide guidance based on image data.
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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.
