US Patent Issued to ADOBE on Oct. 27 for "Confidence evaluation model for structure prediction tasks" (Maryland, Massachusetts, California Inventors)

ALEXANDRIA, Va., Oct. 27 -- United States Patent no. 12,775,886, issued on Oct. 27, was assigned to ADOBE INC. (San Jose, Calif.).

"Confidence evaluation model for structure prediction tasks" was invented by Christopher Tensmeyer (Fulton, Md.), Nikolaos Barmpalios (Palo Alto, Calif.), Sruthi Madapoosi Ravi (San Jose, Calif.), Ruchi Deshpande (Belmont, Calif.), Varun Manjunatha (Newton, Mass.), Smitha Bangalore Naresh (Sudbury, Mass.), Priyank Mathur (San Jose, Calif.) and Oghenetegiri Sido (Fremont, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "Techniques for training for and determining a confidence of an output of a machine learning model are disclosed. Such techniques include, in some embodiments,...