AI Sifts Through a Mountain of Hubble Data, Uncovers Hundreds of Cosmic Weirdos

Using a brand new data analysis tool, astronomers identified more than 800 strange and previously undocumented space objects.
EuropaWire

Luxembourg Stock Exchange Acquires Tetrao ESG Data Analytics Unit to Strengthen Sustainable Bond Data

The Luxembourg Stock Exchange has acquired the ESG data analytics unit of fintech Tetrao International, enhancing its sustainable bond data capabilities and reinforcing its leadership in sustainable ...

WiMi Studies Quantum Hybrid Neural Network Model to Empower Intelligent Image Classification

WiMi Studies Quantum Hybrid Neural Network Model to Empower Intelligent Image Classification BEIJING, Jan. 15, 2026––WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global ...
Devdiscourse

QR codes emerge as unlikely ally in the fight against card fraud

One of the most difficult challenges in payment card fraud detection is extreme class imbalance. Fraudulent transactions ...
Scientific Research Publishing

Boosting Algorithm: An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ()

An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...
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 ...
IEEE

HMM-Based Feature Extraction and Machine Learning Methods for Event Detection and Classification in Microgrids

Abstract: The increasing penetration of inverter-based distributed generation (DG) into power grids improves access to electricity and provides a significant possibility for decarbonization. However, ...
Frontiers

Advanced ECG feature extraction and SVM classification for predicting defibrillation success in OHCA

Out-of-hospital cardiac arrest (OHCA) represents a critical challenge for emergency medical services, with the necessity for rapid and accurate prediction of defibrillation outcomes to enhance patient ...
BioSpace

Flatiron Health Research on AI-Driven Cancer Progression Extraction Presented at AACR Special Conference in Cancer Research: Artificial Intelligence and Machine Learning 2025

Flatiron Health presents two new pieces of research demonstrating the potential of AI to advance oncology research across multiple tumor types NEW YORK--(BUSINESS WIRE)--Flatiron Health today ...
Scientific Research Publishing

Lim, J.Z., Mountstephens, J. and Teo, J. (2022) Eye-Tracking Feature Extraction for Biometric Machine Learning. Frontiers in Neurorobotics, 15, Article ID: 796895.

ABSTRACT: In recent years, a considerable amount of scientific research has been conducted on eye tracking, distance/online learning and machine learning. However, there is no comprehensive ...