NVIDIA has patented a method using natural language processing to extract in-game events from text generated by a game. The system receives text via an API, identifies events using indicators in the text, and generates highlights of the game session based on the events. GlobalData’s report on NVIDIA gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on NVIDIA, Variational Autoencoders (VAEs) was a key innovation area identified from patents. NVIDIA's grant share as of May 2024 was 32%. Grant share is based on the ratio of number of grants to total number of patents.
Natural language processing for extracting in-game events from text
A recently granted patent (Publication Number: US12014547B2) outlines a method that involves receiving messages via an Application Programming Interface (API) containing text strings generated by a game application based on the game state. The method includes identifying events related to gameplay through natural language processing and transmitting data to generate highlights of the game session based on these events. The patent also describes mapping text tokens to event templates, extracting parameters, and incorporating them into the event, along with determining session identifiers and entities within the game session using natural language processing.
Furthermore, the patent details a system with processing units that execute operations such as mapping text to event templates, extracting parameters, and transmitting data for display based on these parameters. The system is designed to cater to conditions related to player actions in the game, utilizing log files or API calls containing text strings processed through natural language processing. Additionally, a processor described in the patent receives messages containing text strings generated by an application, determines events based on natural language processing, and transmits data for display in a user interface. The processor is adaptable for various systems, including control systems for autonomous machines, deep learning operations, cloud computing resources, and more, emphasizing its versatility and potential applications in different technological domains.
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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.
