ALEXANDRIA, Va., Feb. 17 -- United States Patent no. 12,555,043, issued on Feb. 17, was assigned to Zoox Inc. (Foster City, Calif.).
"Training a variable autoencoder using a diffusion model" was invented by Ethan Miller Pronovost (Redwood City, Calif.).
According to the abstract* released by the U.S. Patent & Trademark Office: "Techniques for training a variable autoencoder to output data associated with one or more objects in an environment are described herein. For example, the techniques can include training an encoder and a decoder of the variable autoencoder to improve predictions over time. The variable autoencoder can be trained to output object occupancy information (e.g., a bounding box, heatmap, feature vector) and/or object att...