International Business Machines had 22 patents in edge computing during Q4 2023. IBM filed patents in Q4 2023 for resource allocation for sensor-based neural networks, automatic selection of computing devices for offloading tasks, dynamic code branching for AI-enabled edge devices, reducing edge computing resources for autonomous vehicles using digital twin computing, and generating interactive content at edge nodes of an edge network. These patents focus on optimizing resource allocation, improving efficiency, and enhancing user experience in edge computing environments. GlobalData’s report on International Business Machines gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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International Business Machines grant share with edge computing as a theme is 40% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Dynamic resource allocation method for sensor-based neural networks using shared confidence intervals (Patent ID: US20230419099A1)
The patent filed by IBM describes a method, computer program, and computer system for resource allocation for sensor-based neural networks in an edge computing environment. The method involves identifying nodes, receiving data from these nodes, selecting a node with the greatest confidence interval for a reference classification, and assigning that node to process the classification dataset. The selection of the node can be based on historical confidence interval data, historical identification data, current confidence value data, physical location, or current use of processing resources.
The claims associated with the patent detail the specific steps involved in the resource allocation process, including selecting nodes based on various criteria such as historical data, load-balancing queues, physical location, and processing resource usage. The computer system and computer-readable medium described in the patent are configured to store and execute the necessary computer program code for implementing the resource allocation method for sensor-based neural networks. Overall, the patent aims to optimize resource allocation in edge computing environments for efficient processing of classification datasets by leveraging node-specific data and criteria for selection.
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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.
