Texas Instruments had six patents in big data during Q1 2024. The patents filed by Texas Instruments Inc in Q1 2024 focus on technology for executing inference models with reshape layers, stitching layers, and un-stitch layers to process data efficiently. Additionally, there is a patent for a computer program product that analyzes data transmission patterns to optimize bandwidth allocation, and a digital data processor patent that includes an instruction memory, decoder, and operational unit for processing data and incrementing histogram values. GlobalData’s report on Texas Instruments gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Texas Instruments grant share with big data as a theme is 50% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Methods of batch-based dnn processing for efficient analytics (Patent ID: US20240046413A1)
The technology disclosed in this patent involves executing an inference model using a processor with a reshape layer. This reshape layer receives the output from a previous layer, adds padding to the output, and then passes the padded output to the next layer of the model. Additionally, the inference model includes a stitching layer at the beginning and an un-stitch layer at the end, with the stitching layer combining multiple input images into an image batch and the un-stitch layer separating the output into multiple images corresponding to the input images.
Furthermore, the patent claims describe a method for executing the inference model, involving the reshape layer, stitching layer, and un-stitch layer, as well as other layers in between. The method includes inserting padding into the output, stitching together input images, and unstitching the output to produce multiple images. The patent also covers a computing apparatus and system configured to execute the inference model using the reshape layer, with additional layers like the stitching and un-stitch layers for processing input images and generating corresponding output images.
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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.
