USPTO Patent Grant: Synthetic-to-realistic Image Conversion using GANs

The USPTO has granted patent US12586359B2 to Raytheon Company for a method of synthetic-to-realistic image conversion using generative adversarial networks (GANs) or other machine learning models. The patent covers training methods for improving image generation quality.

USPTO Patent Grant US12586353B2: Unsupervised Learning of Object Representations

The USPTO has granted patent US12586353B2 for an unsupervised learning system for object representation from video sequences using attention over space and time. The patent, assigned to GDM Holding LLC, details a neural network system for video generation and object latent variable determination.

USPTO Patent US12586350B2: Adobe Inc. AI for audio/video representations

The USPTO has granted patent US12586350B2 to Adobe Inc. for a method of determining audio and video representations using self-supervised learning. The patent details training machine learning models to learn short-term, long-term, and semantic features of input data.

Walmart Patent Granted for ML Base-Variant Grouping

The USPTO has granted Walmart Apollo, LLC a patent for a scalable pipeline for machine learning-based base-variant grouping. The patent, titled 'Scalable pipeline for machine learning-based base-variant grouping,' was granted on March 24, 2026, and details a system for grouping candidate items using machine learning techniques.

Amazon Patent for Non-Maximum Suppression Operation

The USPTO has granted Amazon Technologies, Inc. a patent for a technique to reduce workload in non-maximum suppression operations, a common task in computing. This patent, US12586345B1, aims to improve computational efficiency by statistically analyzing confidence scores to reduce candidate predictions.

Samsung Patent Granted for Image Processing

The USPTO has granted Samsung Electronics Co., Ltd. a patent for an electronic device and method for image processing through a canonical space. The patent, application number 18324635, was filed on May 26, 2023, and granted on March 24, 2026.

Canon Patent for Machine Learning Apparatus Processing Image Data

The USPTO has granted Canon Kabushiki Kaisha a patent (US12586342B2) for a machine learning apparatus that processes image data to improve the accuracy of dividing patterns. The patent, filed on March 31, 2021, details an apparatus that uses a weighted loss function for machine learning of a model.

USPTO Patent Grant: Machine Learning Method on Vectorized 3D Models

The USPTO has granted a patent (US12586309B2) for a machine learning method on vectorized 3D models and a learning system. The patent, assigned to Vizuro TAIWAN COMPANY LTD., details a process for training AI models using synthetic images rendered from vectorized 3D models.

Samsung Patent: Machine Learning for Storage Device Reliability

The USPTO has granted Samsung Electronics a patent for a method using machine learning to predict the reliability of storage devices. The patent, filed in 2021, outlines a system that selects optimal machine learning models based on device deterioration information to generate reliability predictions.

USPTO Patent Grant for Operator Generation Technology

The USPTO has granted patent US12586003B2 to Beijing Baidu Netcom Science Technology Co., Ltd. for a method and apparatus for generating an operator. The patent covers technology related to constructing basic application programming interfaces and kernel application programming interfaces to implement operator logic.