US Patent Issued to Amazon Technologies on May 13 for "Techniques for generating a training data set for a machine-learning model" (Washington Inventors)

ALEXANDRIA, Va., June 12 -- United States Patent no. 12,299,581, issued on May 13, was assigned to Amazon Technologies Inc. (Seattle).

"Techniques for generating a training data set for a machine-learning model" was invented by Patrick Ian Wilson (Renton, Wash.), Dmitry Vladimir Zhiyanov (Redmond, Wash.), Lichao Wang (Redmond, Wash.), Jong Wan Kim (Bellevue, Wash.) and Srinivas K Yellala (Bellevue, Wash.).

According to the abstract* released by the U.S. Patent & Trademark Office: "Systems and methods are provided herein for generating a synthetic training data set that can be used to train a machine-learning model to identify when two addresses match (e.g., when a user-defined address and an authoritative address match). The addresses may...