BIOENGINEER

Gradient Boosting Machine Learning Accurately Predicts Digital Health Platform Customer Churn

A comparative study demonstrates that optimized gradient boosting machine learning models reliably predict customer churn on ...
BIOENGINEER

XGBoost Algorithm Identifies Key Breast Cancer Risk Factors With High Accuracy

A machine learning study evaluating UCI breast tumor data demonstrated that the XGBoost model achieved 97.3 percent accuracy, ...

New AI model could help UN nuclear watchdog achieve near-perfect uranium enrichment assessment

Scientists have developed a new AI model that could provide UN nuclear inspectors with advanced capabilities to ...
europesays

Machine Learning Predicts Nuclear Reactor Containment Seismic Demands With

A research team comprising Md Samdani Azad, Minji Choi, and Tae-Hyung Lee has developed an explainable multi-target machine learning framework based on ...
Opinion
remio.aiOpinion

FAM-Teach Teaching Evaluation Reports Lower Bias With an Accuracy Tradeoff

Junjun Zheng’s FAM-Teach teaching evaluation framework reports smaller demographic gaps while sacrificing some prediction accuracy. Published November 7, 2026, in Discover Artificial Intelligence, the ...
quantumzeitgeist

Qwen3.5-2B GSM8K accuracy increased from 21.6% to 69.4% using Tree-Ising.

This article details how Tree-Ising increases Qwen3.5-2B GSM8K accuracy from 21.6% to 69.4% using bit-level Ising edits—a ...
Scientific Research Publishing

Multi-Temporal Sentinel-1 Synthetic Aperture Radar and Machine Learning for Flood Susceptibility Assessment of Urban Roads in Nairobi City County, Kenya ()

Urban flooding increasingly disrupts transport systems in rapidly urbanizing cities, yet road-oriented flood-susceptibility assessments that integrate recurrent flood observations with geographically ...