Microsoft had 395 patents in digitalization during Q1 2024. Microsoft Corp filed patents in Q1 2024 for systems and methods leveraging machine learning to augment exploratory research tasks, automatically generate titles for document clusters, provide content recommendations based on user selections, generate and use semantic indexes, and create resource management testing environments using database population models. GlobalData’s report on Microsoft gives a 360-degree view of the company including its patenting strategy. Buy the report here.

Microsoft grant share with digitalization as a theme is 48% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.

Recent Patents

Application: Schema augmentation system for exploratory research (Patent ID: US20240104405A1)

The patent filed by Microsoft describes a schema augmentation system that leverages machine learning to enhance exploratory research tasks by schematizing content and determining semantic proximities between information units. Users interacting with heterogenous content receive machine-augmented support to identify potentially relevant information units, accelerating their research tasks. The system processes user behavior data, determines information units associated with research tasks, computes schema intents, and generates schematization maps based on semantic coherence and user input, optimizing machine training.

The system involves obtaining user behavior data, processing it to determine information units, utilizing a machine learning model to derive semantic meaning, computing schema intents, and generating schematization maps based on proximity between information units. User evaluation inputs are obtained to update the schematization map, which is displayed to users to assist in their exploratory research tasks. The method also includes populating relationship links, performing semantic schema associations, and training the schematization map based on user feedback, ultimately improving the efficiency and effectiveness of exploratory research tasks through intelligent machine augmentation.

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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.