ALEXANDRIA, Va., Sept. 1 -- United States Patent no. 12,724,947, issued on Sept. 1, was assigned to Auradine Inc. (Santa Clara, Calif.).
"Designing approximate adder circuits using reinforcement learning" was invented by Matthew Tomei (Santa Clara, Calif.) and Saptadeep Pal (Cupertino, Calif.).
According to the abstract* released by the U.S. Patent & Trademark Office: "Methods, systems, and apparatus, including computer programs encoded on a computer storage medium for designing approximate adder circuits. In one aspect, a method includes: initializing a parallel prefix graph representing a parallel prefix circuit; and for each step in a sequence of steps: obtaining a current state of the parallel prefix graph; processing the current stat...