International Business Machines had 912 patents in artificial intelligence during Q4 2023. IBM Corp filed patents in Q4 2023 for resource allocation for sensor-based neural networks, automatically identifying updates in Scientific Drug Labels relevant to patients, preparing trained crossbar arrays for neural networks, and bundling code hypervectors for efficient processing. These patents focus on improving efficiency and accuracy in various aspects of machine learning and data processing. 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 artificial intelligence as a theme is 49% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Multiple stage knowledge transfer (Patent ID: US20230419103A1)
The patent filed by IBM describes a method, system, and computer program product for training output models based on input models and intermediate models. The training process involves transferring knowledge from the input model to the intermediate model and then to the output model. The system includes a CPU and memory to facilitate this training process, which can involve multiple intermediate models and transfer regimens based on set requirements.
Furthermore, the invention allows for the evaluation of performance metrics of the output models and selection of the most suitable model based on comparisons with set requirements. The computer program product enables the execution of instructions to receive input models, set requirements, and train output models based on the input and intermediate models. Overall, the patent outlines a comprehensive approach to training models that involves knowledge transfer, selection of transfer regimens, and evaluation of performance metrics to optimize the training process and model 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.
