USPTO Patent Grant for Gated Linear Contextual Bandits

The USPTO has granted patent US12585912B2 for 'Gated linear contextual bandits' to GDM Holding LLC. The patent covers methods and systems for training neural networks to control agents interacting with real-world environments, optimizing performance through a combination of task-specific and self-supervised objectives.

USPTO Patent Grant: Evolutionary thought caching for multi-stage language models

The USPTO has granted patent US12585882B1 to ATOBEAM TECHNOLOGIES INC. for an "Evolutionary thought caching for multi-stage language model systems." This patent describes a method for efficient natural language processing using a combination of large and small language models with a reasoning cache architecture.

USPTO Patent Grant: Short Text Matching System

The USPTO has granted Intuit Inc. a patent for a system and method for short text matching using n-gram tokens and transformer models. The patent, effective March 24, 2026, aims to improve the accuracy of matching short text inputs like queries and target texts.

USPTO Patent Grant for AI Skill Development Platform

The USPTO has granted a patent (US12585869B2) to TrueBlue, Inc. for an AI-powered platform designed to manage workers in a temporary staffing environment. The platform aims to match workers to shifts, provide guidance on improving matches, facilitate skill development, and automate resume generation.

USPTO Grants Quantum Simulation Patent to UChicago Argonne

The USPTO has granted a patent (US12585841B2) to UChicago Argonne, LLC for a quantum simulation method. The patent aims to reduce computation time for simulating quantum computations on classical computers by optimizing tensor network contraction.

USPTO Patent US12585772B2: Malicious Activity Detection

The USPTO has granted patent US12585772B2 to Acronis International GmbH for a method of detecting malicious activity on endpoints. The patent describes using machine learning models trained on sequences of process behavior events to identify and alert on potential threats.

USPTO Patent US12585765B2 for Robust Natural Language Classification

The USPTO has granted patent US12585765B2 to Barracuda Networks, Inc. for a system and method for robust natural language classification under character encoding. This patent describes a novel approach to train NLP models using synthetic text corpora to detect and classify character swap attacks.

USPTO Patent US12585730B2: Machine Learning Model Management

The USPTO has granted patent US12585730B2 to OPSWAT Inc. for a method of managing machine learning models used in file analysis. The patent describes a system that retrains models based on accuracy feedback to improve detection of suspicious files.

USPTO Patent for System Extracting and Categorizing Online Business Information

The USPTO has granted a patent (US12585714B1) to 6SENSE INSIGHTS, INC. for a system and method to extract and categorize online business information. The system uses a fine-tuned BERT model for URL classification and an LLM for content processing and tag generation.

Data processing system, object detection method, and apparatus thereof

The USPTO has granted patent US12585944B2 to Huawei Technologies Co., Ltd. for a data processing system and object detection method applied to the artificial intelligence field. The patent introduces shallow texture detail information into deep feature maps for improved target detection.