Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...

Kenyan scientist Fridah Mokaya made history as the first black woman to earn a PhD in Nuclear Physics from the University of Connecticut in the USA. Dr. Mokaya achieved this milestone after completing ...

MIAMI — The Atlantic hurricane season, which draws to an official close on Sunday, fulfilled forecasts it would be an active year. There were 13 named storms and three Category 5 hurricanes. But, for ...

Reactions to Kimmel's suspension, Trump publicly rebukes Putin, and more Length: Long Speed: 1.0x Every three months, participants in the Metaculus forecasting cup try to predict the future for a ...

What is Singular Spectrum Analysis (SSA)? Singular Spectrum Analysis (SSA) is a non-parametric technique in machine learning used to analyze and forecast time series data. SSA decomposes a time series ...

In forecasting economic time series, statistical models often need to be complemented with a process to impose various constraints in a smooth manner. Systematically imposing constraints and retaining ...

The Trump administration's plan to dismantle the nation's atmospheric research programs could set U.S. forecasting back a generation or more, a cadre of retired federal hurricane, weather and ocean ...

Destructive hurricanes. Huge ocean waves. Sandstorms and severe smog. Extreme weather events are becoming increasingly common, piling pressure on communities to prepare for a range of disasters with ...

A Microsoft model can make accurate 10-day forecasts quickly, an analysis found. And, it’s designed to predict more than weather. By Rebecca Dzombak Weather forecasters rely on models to help them ...

Supply chain forecasting is becoming an increasingly critical component of operational success. Accurate forecasting enables companies to optimize inventory levels, reduce waste, enhance customer ...