Nintendo had three patents in artificial intelligence during Q4 2023. Nintendo Co Ltd filed patents for a computer system that uses a trained neural network to convert images by adding context data to pixel blocks and executing them against the network. Another patent involves determining swing input from an operation device using inertial sensors and a learned model for different swing directions, with game processing executed based on the determined swing direction. GlobalData’s report on Nintendo gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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Nintendo grant share with artificial intelligence as a theme is 0% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Systems and methods for machine learned image conversion (Patent ID: US20230360174A1)
The patent filed by Nintendo Co Ltd. describes a computer system that utilizes a trained neural network to convert images. The system divides a source image into blocks, adds context data to each pixel block, and then processes these blocks through a neural network to generate a converted image. The system is designed to upscale images in real-time for display on a screen, particularly in the context of video games where virtual objects are controlled within a game space. The neural network transformation involves multiple layers and matrix operations to enhance the resolution of the images being rendered.
The computer system includes a processing system with a CPU and GPU, where the GPU consists of multiple processing cores. These cores have dedicated hardware registers to handle input data and the results of matrix multiplications efficiently. The system can store and dynamically select from different neural networks based on factors like rendering time. Additionally, the method of upconverting images involves splitting color values, utilizing context data, and transforming pixel groups through the neural network to produce high-quality upscaled images in real-time. This technology is particularly useful for enhancing visual quality and resolution during gameplay experiences.
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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.
