ALEXANDRIA, Va., Sept. 23 -- United States Patent no. 12,423,612, issued on Sept. 23, was assigned to Capital One Services LLC (McLean, Va.).
"Methods, mediums, and systems for generating causal inference structure between concepts having predictive capabilities" was invented by Omar Florez Choque (Oakland, Calif.).
According to the abstract* released by the U.S. Patent & Trademark Office: "A machine learning (ML) system is provided for integrating common sense into the ML system. In contrast to existing machine learning algorithms that search for statistical correlations between concepts, the ML system is configured to learn the semantic relationships or causality between the concepts. This may be accomplished by training an algorithm or...