ALEXANDRIA, Va., Aug. 26 -- United States Patent no. 12,400,432, issued on Aug. 26, was assigned to Google LLC (Mountain View, Calif.).
"Memory-optimized contrastive learning" was invented by Hieu Hy Pham (Redwood City, Calif.), Zihang Dai (Pittsburgh), Golnaz Ghiasi (Mountain View, Calif.), Hanxiao Liu (Santa Clara, Calif.), Wei Yu (Palo Alto, Calif.), Mingxing Tan (Newark, Calif.) and Quoc V. Le (Sunnyvale, Calif.).
According to the abstract* released by the U.S. Patent & Trademark Office: "Methods, systems, and apparatus, including computer programs encoded on computer storage media, for using memory-optimized contrastive learning to train image encoder and text encoder neural networks."
The patent was filed on Nov. 16, 2022, under Ap...