US Patent Issued to GOOGLE on Sept. 15 for "Processing of sequential data via machine learning models featuring temporal residual connections" (California Inventors)

ALEXANDRIA, Va., Sept. 15 -- United States Patent no. 12,737,594, issued on Sept. 15, was assigned to GOOGLE LLC (Mountain View, Calif.).

"Processing of sequential data via machine learning models featuring temporal residual connections" was invented by Liangzhe Yuan (Los Angeles) and Yongzhe Wang (San Francisco).

According to the abstract* released by the U.S. Patent & Trademark Office: "Systems and methods can include or leverage a machine-learned model (e.g., a convolutional neural network) that includes one or more temporal residual connections. In particular, each temporal residual connection can respectively supply one or more sets of intermediate feature data generated by a current instantiation of the model from a current sequenti...