US Patent Issued to AUTODESK on Jan. 13 for "Techniques for training a machine learning model to modify portions of shapes when generating designs for three-dimensional objects" (California, New Mexico, Oregon Inventors)

ALEXANDRIA, Va., Jan. 13 -- United States Patent no. 12,524,978, issued on Jan. 13, was assigned to AUTODESK INC. (San Francisco).

"Techniques for training a machine learning model to modify portions of shapes when generating designs for three-dimensional objects" was invented by Ran Zhang (San Jose, Calif.), Morgan Fabian (Corona Del Mar, Calif.), Ebot Etchu Ndip-Agbor (Portland, Ore.) and Lee Morris Taylor (Cedar Crest, N.M.).

According to the abstract* released by the U.S. Patent & Trademark Office: "In various embodiments, a training application trains a machine learning model to modify portions of shapes when designing 3D objects. The training application converts first structural analysis data having a first resolution to first coar...