US Patent Issued to Phoenix AI on June 23 for "Unmanned aerial system path optimization based on machine learning" (American, Canadian Inventors)

ALEXANDRIA, Va., July 15 -- United States Patent no. 12,663,803, issued on June 23, was assigned to Phoenix AI LLC (Sunnyvale, Calif.).

"Unmanned aerial system path optimization based on machine learning" was invented by Vignesh Manohar (Acton, Canada), Craig Kleski (Los Angeles), Rajesh Rasalkar (Naperville, Ill.), Riten Gupta (Los Angeles) and Raj Sengupta (Bethesda, Md.).

According to the abstract* released by the U.S. Patent & Trademark Office: "An electronic device and a method for path optimization for unmanned aerial system (UAS) is provided. The electronic device includes a memory to store a machine learning model to be trained. The electronic device retrieves a first plurality of parameters related to one or more wireless environ...