Microsoft had 16 patents in mobile during Q1 2024. Microsoft Corp filed a patent related to analyzing multimodal datasets using cross-modal machine learning models to identify relationships between different data modalities. These relationships can be leveraged for processes such as reconstructing missing data, correcting errors, and performing compression on multimodal data sets. 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 mobile as a theme is 81% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Cross-modal data completion and compression (Patent ID: US20240004963A1)
The patent filed by Microsoft relates to a system and method for analyzing multimodal datasets using cross-modal machine learning models. These models generate analysis data for different data modalities, allowing for the identification of relationships between the modalities. This information can be used to reconstruct missing or erroneous data in one modality using data from another modality, as well as for compression of multimodal datasets. The system includes processors, memory, and instructions for receiving, providing, determining, and linking data between modalities, as well as for reconstructing missing or erroneous data and compressing files.
The system employs cross-modal machine learning models trained to analyze various modalities such as video, audio, text, image, and graphics data. By comparing analysis data from different modalities, the system can identify missing or erroneous data and reconstruct it using calibration points. The method also involves generating instructions for data reconstruction, deleting the original data, creating a file with the remaining data and instructions, and compressing the file. Additionally, the system can be used in communication or gaming sessions to enhance data analysis and processing capabilities.
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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.
