Toshiba had 101 patents in artificial intelligence during Q4 2023. Toshiba Corp filed patents in Q4 2023 for an information processing system to create a corpus from specific expressions in a domain document, a method for assigning products to shoppers based on characteristics and parameters, an optical device with light routing and phase control elements, a representation learning apparatus for mixed feature representations and labels, and a system for updating a machine learning model through secret sharing and aggregation processes. GlobalData’s report on Toshiba gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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Toshiba grant share with artificial intelligence as a theme is 58% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Information processing systems, information processing method, and computer program product (Patent ID: US20230419959A1)
The patent filed by Toshiba Corp. describes an information processing system that involves extracting specific expressions from domain documents, collecting text data containing these expressions, and selecting text data that meets certain criteria to create a corpus. The system uses measures like C-value, word frequency, and likelihood of recognition error to extract specific expressions, and criteria based on expression inclusion and similarity to domain documents to select text data for the corpus.
Additionally, the system can learn a language model from the selected corpus for speech recognition processing, integrate multiple language models, output specific expressions and selected text data, and correct extracted expressions and selected text data. The method can be executed by the information processing system, and a computer program product is provided with instructions for extracting specific expressions, collecting text data, and selecting corpus 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.
