ALEXANDRIA, Va., April 15 -- United States Patent no. 12,602,611, issued on April 14, was assigned to AT&T Intellectual Property I LP (Atlanta).

"Dynamic updating of machine learning models" was invented by Raghuraman Gopalan (Dublin, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "A method may include a processor training a machine learning model with a training data set, computing a data distribution of the training data set, processing a stream of new data to determine a likelihood of the new data from the data distribution that is computed, incrementing a counter when the likelihood of the new data is less than a first threshold, and retraining the machine learning model when the counter exceeds a ...