ALEXANDRIA, Va., April 15 -- United States Patent no. 12,603,146, issued on April 14, was assigned to Microsoft Technology Licensing LLC (Redmond, Wash.).
"Multimodal domain embeddings via contrastive learning" was invented by Zhihui Guo (Kirkland, Wash.), Pramod Kumar Sharma (Seattle), Liang Du (Redmond, Wash.) and Robin Abraham (Redmond, Wash.).
According to the abstract* released by the U.S. Patent & Trademark Office: "Systems and methods are provided for building and training machine learning models configured to generate in-domain embeddings and perform multimodal analysis inside the same domain. The models include a first encoder trained to receive input from one or more entities represented in a first modality and to encode the one...