ALEXANDRIA, Va., May 26 -- United States Patent no. 12,639,635, issued on May 26, was assigned to Toyota Research Institute Inc. (Los Altos, Calif.).
"Systems and methods with machine learned dataset embedding for data fusion of material property datasets" was invented by Jens Strabo Hummelshoj (Brisbane, Calif.).
According to the abstract* released by the U.S. Patent & Trademark Office: "A machine learning system includes a processor and a memory communicably coupled to the processor. The memory stores machine-readable instructions that, when executed by the processor, cause the processor to select a training dataset comprising training material compositions and tagged material property values, select at least two material property datas...