Meta Platforms had three patents in cloud during Q1 2024. Meta Platforms Inc’s patent involves a method where a user can interact with an assistant xbot using both images and voice inputs, with personalized labels attached to the images. The system stores this information in a digital memory for the user to reference later. When the user requests information based on these personalized labels, the system generates a response and sends instructions for presenting it back to the user through the assistant xbot. GlobalData’s report on Meta Platforms gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Meta Platforms grant share with cloud as a theme is 66% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Personalized labeling for user memory exploration for assistant systems (Patent ID: US20240054156A1)
The patent filed by Meta Platforms Inc. describes a method for receiving multimodal inputs from a user, including images and voice inputs with personalized labels, storing this information as a digital memory, and generating responses based on this memory. The system involves using an assistant xbot to facilitate dialog sessions, determine relational information between objects in images, and respond to user requests referencing personalized labels. Additionally, the method includes features such as proactively tagging images, executing tasks based on user requests, generating chit-chat responses, and organizing digital memories into folders based on criteria like location, time, and activity.
Furthermore, the patent outlines the use of machine-learning models to determine criteria satisfaction for storing digital memories, incorporating sensor signals for this determination, and encrypting and uploading digital memories to a cloud server. It also includes functionalities for sharing images with other users based on degrees of separation on a social network, retrieving images based on user-specified criteria, and generating media content for different applications. The system can also detect hidden intents in voice inputs and instruct the client system to capture images accordingly, showcasing a comprehensive approach to managing and utilizing user-generated content in a multimodal environment.
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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.
