US Patent Issued to VIZIT LABS on March 18 for "Systems and methods for training a multi-modal machine learning architecture for content generation" (Massachusetts Inventors)

ALEXANDRIA, Va., March 19 -- United States Patent no. 12,254,669, issued on March 18, was assigned to VIZIT LABS INC. (Boston).

"Systems and methods for training a multi-modal machine learning architecture for content generation" was invented by Elham Saraee (Medford, Mass.), Jehan Hamedi (Wellesley, Mass.) and Zachary Halloran (Franklin, Mass.).

According to the abstract* released by the U.S. Patent & Trademark Office: "The present disclosure describes a method comprising receiving a plurality of training images; executing a feature extraction machine learning model to generate a plurality of training embeddings for a plurality of training images each in an embedding space; training a content scoring machine learning model using the plur...