Autodesk had 16 patents in artificial intelligence during Q1 2024. Autodesk Inc’s patents filed in Q1 2024 focus on design exploration, water resource infrastructure control, photograph augmentation, and inverse kinematic modeling for object animations. The design exploration application uses machine learning models to generate design alternatives for 3D objects based on text prompts. The water resource infrastructure system and method utilize sensors and disturbance data to control infrastructure components. The photograph augmentation method involves generating multiple labels for unlabeled photographs using different data augmentation methods. The IK modeling applications generate models to solve IK problems for object animations using machine learning operations. The computer animation application automatically solves IK problems by executing a trained machine learning model on target vectors. GlobalData’s report on Autodesk gives a 360-degree view of the company including its patenting strategy. Buy the report here.

Autodesk grant share with artificial intelligence as a theme is 50% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.

Recent Patents

Application: Techniques for using multimodal machine learning models to generate design alternatives for three-dimensional objects (Patent ID: US20240104275A1)

The patent filed by Autodesk Inc. describes a computer-implemented method for generating images representing design alternatives for 3D objects using machine learning models. The method involves generating keyword prompts based on design intent text, executing machine learning models to generate keywords, rephrasing prompts based on generated keywords, and ultimately generating images based on the final text prompt. The system also includes displaying selectable versions of keywords in a graphical user interface and executing multimodal machine learning models to compute scores based on image prompts and keywords.

The patent further details the use of non-transitory computer-readable media to execute the steps of generating keyword prompts, rephrasing prompts, and generating images. It also includes additional features such as user input for selecting keywords, designating user keywords, and setting image prompts based on displayed images. The system described in the patent involves one or more processors coupled with memories to perform the steps of generating keyword prompts, executing machine learning models, rephrasing prompts, and generating images based on design intent text for 3D objects.

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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.