Intel had 309 patents in artificial intelligence during Q1 2024. Intel Corp’s patents in Q1 2024 focus on training neural networks for pixel-level segmentation in video data, handling connectivity packages for gateway devices, optimizing antenna array configurations based on cell conditions, and processing inference workloads efficiently in neural networks. These patents aim to improve performance and efficiency in various technological applications. GlobalData’s report on Intel gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Intel grant share with artificial intelligence as a theme is 44% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: High resolution interactive video segmentation using latent diversity dense feature decomposition with boundary loss (Patent ID: US20240104380A1)
The patent filed by Intel Corp. describes technology that trains a neural network to provide pixel-level segmentation of objects in video data. This is achieved by inputting video data, determining a boundary loss function, and selecting weights for the neural network based on this function. Additionally, the technology involves conducting tensor decomposition on an initial feature set to obtain a reduced feature set for segmentation purposes.
The semiconductor apparatus described in the claims includes configurable logic or fixed-functionality hardware logic to accept video data and an initial feature set, conduct tensor decomposition to obtain a reduced feature set, and output pixel-level segmentation of objects in the video data. The tensor decomposition approximates a core tensor smaller than the original tensor, and the apparatus can also consider previous frames, frame segmentation results, and user selection data for segmentation output. Furthermore, the pixel-level segmentation is output at the native resolution of the video data. The patent also covers a computer-readable storage medium with instructions for performing the segmentation process and a method that involves accepting video data, conducting tensor decomposition, and outputting pixel-level segmentation based on the reduced feature set, with considerations for previous frames, user selection data, and native resolution output.
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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.
