US Patent Issued to NVIDIA on Dec. 16 for "Learning to generate synthetic datasets for training neural networks" (Canadian, American Inventors)

ALEXANDRIA, Va., Dec. 16 -- United States Patent no. 12,499,363, issued on Dec. 16, was assigned to NVIDIA Corp. (Santa Clara, Calif.).

"Learning to generate synthetic datasets for training neural networks" was invented by Amlan Kar (Toronto), Aayush Prakash (Toronto), Ming-Yu Liu (San Jose, Calif.), David Jesus Acuna Marrero (Toronto), Antonio Torralba Barriuso (Somerville, Mass.) and Sanja Fidler (Toronto).

According to the abstract* released by the U.S. Patent & Trademark Office: "In various examples, a generative model is used to synthesize datasets for use in training a downstream machine learning model to perform an associated task. The synthesized datasets may be generated by sampling a scene graph from a scene grammar-such as a pr...