Autodesk had 13 patents in artificial intelligence during Q2 2024. Autodesk Inc’s patents filed in Q2 2024 focus on utilizing machine learning techniques for structural design and seam generation in 3D models. The first patent involves applying placement rules to generate candidate column locations in a building floorplan, selecting optimal column locations using reinforcement learning, and outputting a structural design. The second patent involves generating inputs for machine learning models based on a 3D model, receiving seam prediction data, and placing predicted seams on the 3D model. GlobalData’s report on Autodesk gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Autodesk had no grants in artificial intelligence as a theme in Q2 2024.
Recent Patents
Application: Customizable reinforcement learning of column placement in structural design (Patent ID: US20240202381A1)
Autodesk Inc. has developed a computer-implemented method for generating floor plans using machine learning techniques. The method involves selecting column locations based on structural stability, applying placement rules to generate candidate locations, and updating selections based on additional rules. The machine learning model is trained using a reward function that includes rewards for preferred column placements and randomly generated floorplans. The system includes processors and memories to execute these steps efficiently.
Additionally, the method involves generating gridlines in the floorplan based on structural importance, matching parameters in placement rules to gridline intersections, and considering beam spans associated with the building. The machine learning model utilizes reinforcement learning agents to optimize column placements. The non-transitory computer-readable media store instructions for selecting column locations, applying placement rules, and detecting conflicts between rules. The system includes processors and memories to execute these instructions effectively, ensuring the generation of structurally sound floorplans for buildings.
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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.
