US Patent Issued to AT&T Intellectual Property I on Nov. 3 for "Transfer knowledge from auxiliary data for more inclusive machine learning models" (New York, New Jersey Inventors)

ALEXANDRIA, Va., Nov. 3 -- United States Patent no. 12,783,940, issued on Nov. 3, was assigned to AT&T Intellectual Property I LP (Atlanta).

"Transfer knowledge from auxiliary data for more inclusive machine learning models" was invented by Zhengyi Zhou (Chappaqua, N.Y.), Cheryl Brooks (Maplewood, N.J.), Aritra Guha (Edison, N.J.), Yaron Kanza (Fair Lawn, N.J.) and Balachander Krishnamurthy (New York).

According to the abstract* released by the U.S. Patent & Trademark Office: "Transfer knowledge from auxiliary data for more inclusive machine learning models is provided. A method can include generating a common feature space comprising first data features, wherein the first data features are present in training data used to train a first m...