US Patent Issued to Royal Bank of Canada on Sept. 23 for "System and method for weather dependent machine learning architecture" (Canadian Inventors)

ALEXANDRIA, Va., Sept. 23 -- United States Patent no. 12,423,574, issued on Sept. 23, was assigned to Royal Bank of Canada (Toronto).

"System and method for weather dependent machine learning architecture" was invented by Graham Alexander Watt (Toronto) and Ehsan Amjadian (Toronto).

According to the abstract* released by the U.S. Patent & Trademark Office: "A machine learning architecture is proposed that is directed to receive different time-series data sets relating to environmental conditions as well as a target variable for prediction and to transform the time-series data sets for training a plurality of different machine learning models. The trained machine learning models can be utilized to probe various configurations of environmen...