ALEXANDRIA, Va., March 17 -- United States Patent no. 12,579,499, issued on March 17, was assigned to Maplebear Inc. (San Francisco).

"Predicting whether temperature-sensitive items will transition outside of a target temperature range during transport using a machine learning model" was invented by Naval Shah (Toronto).

According to the abstract* released by the U.S. Patent & Trademark Office: "An online system generates a request to transport a set of items from a source location to a destination location. The set of items includes at least one temperature-sensitive item. The system extracts a set of input features about the request to transport the set of items. The set of input features includes an estimated transportation time for tr...