RTX had 41 patents in artificial intelligence during Q2 2024. Raytheon Technologies Corp filed patents in Q2 2024 for methods and systems related to data analytics and machine learning model project deployment, chat message prioritization using machine learning models, linear variable differential transformers with a control unit, mitigating corrosion and erosion in aircraft engines using machine learning, and generating patterns for security from AI detection systems. These patents cover a range of innovative technologies aimed at improving efficiency, safety, and security in various applications. GlobalData’s report on RTX gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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RTX had no grants in artificial intelligence as a theme in Q2 2024.
Recent Patents
Application: Full life cycle data science environment graphical interfaces (Patent ID: US20240211284A1)
The patent filed by Raytheon Technologies Corp. focuses on a method for data analytics and machine learning model project deployment through a graphical user interface (GUI). The method involves providing various graphical software controls on the GUI, such as a project creation wizard, previously generated projects, models, and a marketplace of data science projects. Additionally, the method includes features like a selectable list of projects and models, a watchlist, and guiding users through data acquisition, model generation, and deployment processes.
Furthermore, the patent describes the use of a wizard that configures the GUI in consecutive states to assist users in data cleansing and transformation. It also includes features like model and visual analytics recommenders that provide lists of recommended models and deployments based on project objectives and descriptions. The patent aims to streamline the process of deploying data analytics and machine learning models through an intuitive graphical interface, enhancing user experience and efficiency in project management and deployment.
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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.
