NVIDIA had 18 patents in gaming during Q4 2023. NVIDIA Corp’s patents in Q4 2023 focus on enhancing user experience during online video conferences by processing audio and video data to determine context and relevance of comments, identifying highlight-worthy video clips from gameplay sessions for selective sharing, and optimizing frame rate based on receiver performance metrics for smoother display of application frames. GlobalData’s report on NVIDIA gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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NVIDIA grant share with gaming 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: Real-time video conference chat filtering using machine learning models (Patent ID: US20230335121A1)
The patent filed by NVIDIA Corp. describes a method and system for processing data streams during online video conferences to generate textual representations of audio and video content, determine context or topics of discussion, select appropriate neural networks, and evaluate the relevance of comments from chat features to the discussion topics. The system involves selecting natural language processing (NLP) machine learning models based on the determined context, applying textual data from the application to these models, computing relevance of the data to the context, and deciding whether to display the data in the application interface. The method also includes determining breadth levels and offensive content, associating these with NLP models, and presenting textual data within chat features based on relevance and offensiveness.
Furthermore, the system comprises processors executing operations to determine context, select NLP models based on context and depth levels, apply textual data, compute relevance, and present the data in the application interface. The system also involves determining depth levels, associating them with NLP models, receiving textual data from chat features, and considering offensiveness in presenting the data. The processor described in the patent is designed to present textual data based on NLP models selected according to context and scope, with applications in various systems such as control systems, perception systems, simulation operations, deep learning operations, edge devices, robots, virtual reality, augmented reality, virtual machines, data centers, and cloud computing resources.
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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.
