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International Business Machines had 768 patents in artificial intelligence during Q1 2024. IBM has filed patents for a decision-improvement framework, processing log events, predicting states from patient-caregiver dyadic biomarker data, and enhancing user experience with audio-visual content. These patents involve methods using regression functions, clustering log events, artificial intelligence techniques, and data compression to improve decision-making, predict mental distress, and modify audio-visual content based on user emotions. GlobalData’s report on International Business Machines gives a 360-degree view of the company including its patenting strategy. Buy the report here.

International Business Machines grant share with artificial intelligence as a theme is 54% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.

Recent Patents

Application: Machine learning-based decision framework for physical systems (Patent ID: US20240103457A1)

The patent filed by IBM describes a decision-improvement framework that involves obtaining regression functions to predict outputs of processes in a physical system, generating constraints and objective functions based on these predictions, identifying parameter values to control the system, and generating a score to determine system improvement. If the score meets a threshold, the system is configured accordingly. The system uses machine learning to automatically generate regression functions and can update the model based on feedback signals.

The framework utilizes a directed graph representation of the physical system, where processes are nodes and relationships are edges, allowing for the identification of parameter values for each process. The system is particularly applicable to manufacturing plants producing various products. The patent covers a computer-implemented method, a system with memory and a processor, and a computer program product with instructions for implementing the decision-improvement framework. The method, system, and program product work together to optimize the physical system based on historical performance data and predicted improvements.

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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.