NVIDIA had 81 patents in digitalization during Q4 2023. NVIDIA Corp’s Q4 2023 patents focus on efficient rendering techniques using spatial hash data structures, identifying inefficiencies in workloads, predicting errors in processing units using machine learning, transferring files over networks using QUIC connections and HTTP/3 messages, and generating simulations for autonomous machines using various models for navigation and trajectory prediction. 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 digitalization as a theme is 19% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Light importance caching using spatial hashing in real-time ray tracing applications (Patent ID: US20230419590A1)
The patent by NVIDIA Corp. describes a method and system for determining and caching light contribution information for rendering image frames in a scene. By segmenting the virtual environment into spatial regions, such as octahedral voxels, and computing average light contributions for each voxel using cast light rays, a cumulative distribution function is built for each voxel. This function is then used to efficiently select which lights to sample during rendering based on the number and contributions of contributing lights, resulting in high image quality and bandwidth efficiency.
The method involves segmenting the virtual environment, determining rays to sample based on light values, and updating illumination information for spatial regions. By using a spatial hashing algorithm, directional information is provided, and cumulative distribution functions are built for regions to cache selection probability data. The system, which can be used for various applications like simulation operations, light transport simulation, and rendering graphical output, efficiently renders images by sampling rays based on light information and average light contributions, ensuring high-quality images while conserving bandwidth and cache 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.
