Microsoft had 586 patents in digitalization during Q4 2023. Microsoft Corp’s patents filed in Q4 2023 include technologies such as generating responses to task prompts on declarative code using a language model trained on imperative code, creating adversarial training examples for query interpreters, a multi-model data store for enriching raw data, video genre classification based on audio and video features, and balancing traversals and precomputations for connected data sets with access control. GlobalData’s report on Microsoft gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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Microsoft grant share with digitalization as a theme is 37% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Responding to task prompt on declarative code using language model (Patent ID: US20230418815A1)
The patent filed by Microsoft Corp. describes a system and method for generating responses to task prompts related to declarative code using a language model trained on imperative code. The system involves converting portions of declarative code and task prompts into imperative code, providing this as input to the language model, generating output imperative code, and converting it into a response to the task prompt. The system can be applied to various types of declarative code such as spreadsheets, databases, web pages, and collections of rules.
Additionally, the method includes steps for handling multiple results generated by the language model, such as filtering based on criteria like whether the result runs or user-specified criteria, and sorting based on a confidence score generated from metadata of the output imperative code tokens. The patent also covers a computer program product that, when executed, enables a computing system to perform the steps outlined in the method for generating responses to task prompts related to declarative code using the language model trained on imperative code.
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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.
