Hitachi had 185 patents in artificial intelligence during Q2 2024. Hitachi Ltd filed patents in Q2 2024 for a dialogue support system that can output question/answer pairs based on emotion or sentence dependence, a technique for sharing operation information among different IT-service providing systems to reduce operation costs, a teacher data editing support system for evaluating and editing sensitive attribution in teacher data, an image generating and retrieving apparatus for easily finding desired images, and a computer system for extracting coordinate information from semiconductor pattern image data for measuring dimensions. GlobalData’s report on Hitachi gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Hitachi had no grants in artificial intelligence as a theme in Q2 2024.
Recent Patents
Application: Dialogue support system and dialogue support method (Patent ID: US20240211700A1)
The patent filed by Hitachi Ltd. describes a dialogue support system that generates question/answer pairs based on question sentence vectors, emotion vectors, and answer sentence vectors. The system categorizes question/answer pair candidates into groups based on similarities between these vectors and determines whether to output a sentence dependence question/answer pair or an emotion dependence question/answer pair based on the variance of these vectors in the groups. Additionally, the system can calculate and store sentence dependence and emotion dependence degrees for the question/answer pairs.
Furthermore, the dialogue support system can also handle dialogue scenarios by extracting questions and emotions from dialogue sentence vectors and questioner emotions. It determines question sentence vectors, emotion vectors, and answer sentence vectors based on the extracted dialogue information. The system can calculate the degree of dependence of an answer sentence on the question or question emotion and store these values for future reference. Overall, the system aims to enhance dialogue interactions by providing appropriate question/answer pairs based on the emotional context and content similarity.
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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.
