ALEXANDRIA, Va., July 16 -- United States Patent no. 12,670,402, issued on June 30, was assigned to Salesforce Inc. (San Francisco).

"Momentum contrastive autoencoder" was invented by Devansh Arpit (Pacifica, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "The embodiments are directed to training a momentum contrastive autoencoder using a contrastive learning framework. The contrastive learning framework learns a latent space distribution by matching latent representations of the momentum contrastive autoencoder to a pre-specified distribution, such as a distribution over a unit hyper-sphere. Once the latent space distribution is learned, samples for a new data set may be obtained from the latent space...