Google LLC Patent Grant for Application Update Priority

The USPTO has granted Google LLC a patent for a system that prioritizes application updates on computing devices using machine learning. The patent, US12585448B2, details a method for determining update priority scores and initiating installations.

Google LLC Patent for Neural Accelerator Compiler

The USPTO has granted Google LLC a patent for a neural accelerator compiler designed to improve runtime speed and conserve energy. The patent, filed in March 2020, describes a method for optimizing the compilation and loading of neural network models into hardware accelerators.

USPTO Patent Grant: Machine Learning Source Code Generation via Holochain Network

The USPTO has granted patent US12585437B2 to Bank of America Corporation for a system and method for decentralized machine learning source code generation via a holochain network. The patent covers a framework that uses machine learning to generate code segments based on predefined criteria and user input.

USPTO Patent Grant US12585435B2: Software Architecture Visualization

The USPTO has granted patent US12585435B2 to The Toronto-Dominion Bank for a system and method for real-time visualization of complex software architecture using generative AI. The patent covers storing architecture diagrams, receiving runtime data from software systems, and generating/displaying visualizations based on AI analysis.

Samsung Patent US12585434B2: Pixel Unshuffle/Shuffle Operations

The USPTO has granted Samsung Electronics Co., Ltd. patent US12585434B2 for a computing device and method involving pixel unshuffle and shuffle operations. This patent relates to image data processing using neural network models.

USPTO Patent Grant: Low Power Semiconductor Device

The USPTO has granted a patent (US12585431B2) to Semiconductor Energy Laboratory Co., Ltd. for a semiconductor device designed for low power consumption and arithmetic operations. The patent details specific circuit and cell configurations utilizing transistors operating in the subthreshold region.

USPTO Patent Grant: Remote-Controlled Autonomous Driving Method and System

The USPTO has granted patent US12585281B2 for a remote-controlled autonomous driving method and system. The patent, assigned to Ford Global Technologies, LLC, describes a system where external sensors capture vehicle data, an external processing device determines a movement path, and this path or control commands are transmitted to the vehicle for implementation.

Deere & Company Patent for Autonomous Obstacle Navigation

The USPTO has granted a patent to Deere & Company for an autonomous off-road vehicle system that uses machine learning to navigate obstacles. The system can identify obstructions, determine if they can be ignored, and either continue navigation, stop, or alert a remote operator.

NVIDIA Patent US12585275B1 for Neural Network Loss Scaling

The USPTO has granted NVIDIA Corporation patent US12585275B1 for a method of scaling neural network loss values for object navigation. The patent, filed in 2019, details techniques for identifying features, fitting curves, and scaling loss based on real-world distance and curvature.

USPTO Patent Grant for SAP SE - Hierarchical Data Encoding

The USPTO has granted patent US12585262B2 to SAP SE for a method of encoding hierarchical data. The patent describes techniques for generating a flattened representation of hierarchical sets by assigning values based on hierarchy levels and element types.