ALEXANDRIA, Va., June 18 -- United States Patent no. 12,327,366, issued on June 10, was assigned to QUALCOMM Inc. (San Diego).
"Deep learning model for high resolution predictions" was invented by Chieh-Ming Kuo (Taoyuan, Taiwan) and Michel Adib Sarkis (San Diego).
According to the abstract* released by the U.S. Patent & Trademark Office: "Systems and techniques are provided for deep learning model optimizations. An example process can include generating, based on processing data using a neural network model, a plurality of prediction outputs associated with a plurality of output channels corresponding to a multi-channel prediction target; determining that a prediction output from the plurality of prediction outputs has a value that is ou...