USPTO Patent Grant: Analog-Digital Hybrid Computing Neuromorphic System

The USPTO has granted a patent (US12586636B2) for an analog-digital hybrid computing neuromorphic system. The patent, assigned to IHW INC., details a system utilizing non-volatile memory cells for synaptic units and a digital calculation section for processing.

USPTO Patent Grant: Neural Network Hair Modification in Digital Images

The USPTO has granted a patent (US12586157B2) to Ulta Salon, Cosmetics & Fragrance, Inc. for a method using generative neural networks to modify hair characteristics in digital images. The patent details a process for altering hair features while maintaining the original face and background.

USPTO Grants Patent for AI Feature Map Processing Method

The USPTO has granted a patent (US12586154B2) to Huawei Technologies Co., Ltd. for an AI feature map processing method and device. The patent describes a neural network model with input adaptation branches designed to downsample feature maps at different ratios.

USPTO Patent Grant: Image Processing Apparatus

The USPTO has granted a patent (US12586352B2) to CANON KABUSHIKI KAISHA for an image processing apparatus, method, and storage medium. The patent describes a system that calculates similarity between image regions and infers high-frequency components using a learning model.

USPTO Patent Grant: Digital Rights Management for Machine Learning Models

The USPTO has granted patent US12585991B2 to Deere & Company for techniques related to the digital rights management of machine learning models used in agriculture. The patent covers methods for training models to generate valid or invalid agricultural inferences based on sensor data ranges.

USPTO Grants Patent for Secure Statistical Classifier Generation

The USPTO has granted a patent (US12585988B2) to NEC Corporation of America for systems and methods for generating and applying a secure statistical classifier. The patent, filed on March 1, 2022, details a process involving cryptographic keys to create unique trained sub-classifiers.

USPTO Patent Grant: Fujitsu Limited - Remote Graph Generation ML

The USPTO has granted Fujitsu Limited a patent (US12585987B2) for a method of remote statistical generation of graphs for graph machine learning. The patent details a process for analyzing graph data, determining statistical information, and using this to generate new graphs.

LM Ericsson Machine Learning Patent Granted

The USPTO has granted a patent (US12585986B2) to LM Ericsson for a machine learning method in communication networks. The patent covers training a model, serializing local model updates, and transmitting them to an aggregator entity.

USPTO Patent US12585983B2: Machine Learning Training

The USPTO has granted patent US12585983B2 to Aptiv Technologies AG for a method of training machine learning models using ground truth approximations. The patent details a computer-implemented process for determining measurement data and approximations of ground truths to train machine learning methods, with varying effects based on approximation quality.

Patent Grant for Model Management Using Containers by STRIPE, LLC

The USPTO has granted patent US12585982B2 to STRIPE, LLC for a method of managing machine learning models using containers. The patent describes a system for deploying machine learning models and their dependencies within containerized application instances.