Autodesk had five patents in big data during Q4 2023. Autodesk Inc’s patents in Q4 2023 focus on computer aided design and manufacture of physical structures using machine learning to generate prismatic CAD models, training machine learning models to modify shapes when designing 3D objects, and estimating the vulnerability of repairable infrastructure systems by conducting multiple probability simulations to determine potential restoration costs. GlobalData’s report on Autodesk gives a 360-degreee view of the company including its patenting strategy. Buy the report here.

Autodesk grant share with big data as a theme is 40% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.

Recent Patents

Application: Generating prismatic cad models by machine learning (Patent ID: US20230376639A1)

Autodesk Inc. has filed a patent for methods, systems, and apparatus for computer-aided design and manufacture of physical structures using machine learning to generate prismatic CAD models. The process involves obtaining an input embedding encoding a 2D shape, processing it with a 2D decoder to obtain a decoded representation, determining a fitted 2D parametric sketch model by finding a suitable model in an embedding space, and using it in a computer modeling program. Additionally, the patent includes training the system on 2D training images, generating parametric sketch models for 3D objects, and creating a 3D boundary representation model through extrusion based on the fitted 2D parametric sketch models.

The patent also covers the use of a 3D autoencoder with a sub-embedding decoder, start envelope decoder, end envelope decoder, and differentiable Boolean engine to generate reconstructed models from 2D shapes. Training examples are used to update parameters of the 3D autoencoder, and morphological modifications are applied to voxel models. Furthermore, the patent describes the generation of 3D prismatic models from generative design outputs, fitting 3D B-Rep models to initial voxel models, and displaying fitted 2D parametric sketch models in a user interface. The system includes a non-transitory storage medium with a computer-aided design program and data processing apparatus to run the program, performing operations such as obtaining input embeddings, determining parametric sketch models, and using them in a computer modeling program.

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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.