Olympus had 14 patents in future of work during Q1 2024.Olympus Corp filed a patent for a system and method using artificial intelligence for patent valuation, involving obtaining patent classification codes, forming training vectors, and predicting value metrics based on classification codes. Another patent filed is for an electrosurgical generator and method for outputting high-frequency alternating voltage to an electrosurgical instrument using a multi-level inverter controlled by a reference signal with sequenced amplitude and frequency data vectors, allowing for efficient control of complex modes with minimal data. GlobalData’s report on Olympus gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Olympus grant share with future of work as a theme is 78% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Patent valuation using artificial intelligence (Patent ID: US20240020642A1)
The patent filed by Olympus Corp. describes a system and method for using artificial intelligence to value patents. The method involves obtaining a master list of patent classification codes, creating training vectors for each patent based on these codes, and receiving user-specified value metrics for each patent. A machine learning model is then trained to predict value metrics for patents based on their classification codes. The model can also incorporate additional information from patents, such as numeric and non-numeric data, to further refine its predictions.
The claims associated with the patent detail the steps involved in training the machine learning model, including extracting additional information from patents, updating the model with new patent classification codes, and outputting confidence levels for predicted value metrics. The method also allows for the use of various machine learning models, such as Support Vector Regression and Deep Neural Networks, to enhance the accuracy of patent valuation. Furthermore, the patent outlines methods for handling unpublished patents, compressing and storing the model and classification codes, and training the model based on textual features extracted from patent applications. Overall, the patent provides a comprehensive framework for leveraging artificial intelligence in patent valuation to improve accuracy and efficiency in the process.
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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.
