US Patent Issued to Preferred Networks on Sept. 23 for "Generative machine learning systems for generating structural information regarding chemical compound" (Japanese Inventors)

ALEXANDRIA, Va., Sept. 23 -- United States Patent no. 12,423,622, issued on Sept. 23, was assigned to Preferred Networks Inc. (Tokyo).

"Generative machine learning systems for generating structural information regarding chemical compound" was invented by Kenta Oono (Tokyo), Justin Clayton (Tokyo) and Nobuyuki Ota (Tokyo).

According to the abstract* released by the U.S. Patent & Trademark Office: "A computer system includes one or more memories and one or more processors configured to cause a generative model to generate structural information regarding a chemical compound by inputting a latent representation into the generative model, wherein the generative model has been trained such that differences between structural information regard...