Meta Platforms had 73 patents in artificial intelligence during Q4 2023. Meta Platforms Inc filed patents related to personalized gesture and speech recognition, training natural-language understanding models for new domains, maintaining contextual information in dialog sessions, and a system for processing user inputs using various modules. Additionally, there is a patent for controlling augmented calls based on the receiving user’s gaze to optimize resources when the hologram is not in focus. GlobalData’s report on Meta Platforms gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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Meta Platforms grant share with artificial intelligence as a theme is 38% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Personalized gesture recognition for user interaction with assistant systems (Patent ID: US20230419651A1)
The patent filed by Meta Platforms Inc. describes a system and method for receiving user requests that include both gesture and speech inputs, determining the intent of the request based on personalized gesture-classification models, executing tasks based on the determined intent and speech input, and sending instructions for presenting the results to the user. The system includes processors, a microphone for speech input, a camera for gesture input, and memory with instructions to communicate user inputs to an external assistant system, receive information on user intent, and execute tasks based on the received information, user profile, and inputs. The method involves generating speech and gesture inputs, communicating them to an external assistant system, receiving information on user intent, and executing tasks based on the received information, speech input, and gesture input.
The system and method outlined in the patent aim to enhance user interactions by combining gesture and speech inputs to determine user intent accurately and execute tasks accordingly. By utilizing personalized gesture-classification models and external assistant systems, the technology enables seamless communication and task execution based on user inputs, ultimately improving user experience and efficiency. The patent also highlights the use of machine-learning models, automatic speech recognition modules, and user profiles to further enhance the accuracy and personalization of the system's responses and tasks. Additionally, the potential application of the technology in virtual reality headsets for displaying content further expands its usability and impact across different platforms and devices.
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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.
