Microsoft had 194 patents in future of work during Q1 2024. Microsoft Corp’s Q1 2024 patents include technologies for managing skill taxonomies, adjusting decoupling capacitance on circuit boards, electrically controlled hybridization for oligonucleotide assembly, inferring reduced availability of target users, and transmitting relevant map data for shared hologram display. GlobalData’s report on Microsoft gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Microsoft grant share with future of work as a theme is 30% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Using unsupervised machine learning to identify attribute values as related to an input (Patent ID: US20240104506A1)
The patent filed by Microsoft describes technologies for skill taxonomy management, involving the extraction of input text from an online system, application of an unsupervised generative text machine learning model to generate sentences based on a job title, extraction of skills from these sentences, and ranking of skills based on frequency distribution. The ranked subset of skills is then provided to a downstream operation within the online system. The method also includes identifying and adding skills not in the existing taxonomy, generating skill recommendations based on entity profiles, and training the machine learning model on unlabeled data.
Furthermore, the patent details the process of comparing frequency distributions to threshold skill distributions, generating additional sentences if needed, and ranking skills based on the updated frequency distribution. The system described in the patent includes memory and processing devices to carry out the extraction, generation, and ranking of skills, as well as the comparison of distributions and provision of skills to downstream operations. The system can also train the generative text machine learning model as a causal text generator and generate skill recommendations based on entity profiles, while also identifying and adding new skills to the taxonomy.
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GlobalData, the leading provider of industry intelligence, provided the underlying data, research, and analysis used to produce this article.
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.
