Physics-constrained AI boosts satellite weather accuracy

FAYETTEVILLE, GA, UNITED STATES, January 29, 2026 /EINPresswire.com/ -- Accurate atmospheric temperature profiles are ...

How Advisors Can Use Trust & Will’s AI Assistant & Document Extraction Features to Better Serve Clients

Trust & Will introduces AI-powered document extraction and assistant tools within EstateOS for Advisors. CORONA, ...
UC San Diego Today

A New Method to Steer AI Output Uncovers Vulnerabilities and Potential Improvements

A team of researchers has found a way to steer the output of large language models by manipulating specific concepts inside ...

Advanced PureHealth Research Vein Supplements Feature High-Potency Butcher's Broom to Promote Venous Health

PureHealth Research expands its vein supplements line with formulations featuring Butcher's Broom, a Mediterranean plant with centuries of traditional use for circulation concerns. The ingredient ...
TMCnet

WiMi Studies Hybrid Quantum-Classical Inception Neural Network Model for Image Classification

WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") ...

WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification

Beijing, Feb. 06, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...
Searchenginejournal.com

Google’s New User Intent Extraction Method

Google published a research paper on how to extract user intent from user interactions that can then be used for autonomous agents. The method they discovered uses on-device small models that do not ...
IEEE

Deep Feature Extraction Method for Automatic Classification and Processing of Accounting Information

Abstract: In the context of advancing intelligent accounting systems within the broader field of computational methods and data processing, this study focuses on overcoming critical limitations ...
Frontiers

Improved multi-scale divergence entropy combined with extreme learning machine classifier for rotating machinery fault recognition

Introduction: As the core equipment in industrial production, rotating machinery bearings play a critical role. However, traditional feature extraction algorithms for vibration signals are susceptible ...
Frontiers

Grading for grapevine downy mildew and feature extraction methods for predicting abaxial lesions from adaxial leaf images

Grading grapevine downy mildew severity is essential for the precise application of pesticides. Since typical symptoms appear on the abaxial (underside) surface of grape leaves, and lesion area ...