When you open your phone, your weather app isn’t doing the meteorology – it’s just showing the output of the model’s ...

A new study comparing machine learning-based portfolio optimization with the traditional all-weather portfolio found that certain AI models, including LASSO and elastic net, delivered Sharpe ratios ...

University of Geneva-led research says machine learning forecasts underestimate intensity, frequency of heat waves, cold ...

Meteorologists are working to ensure everyone living in the U.S. is no further than 20 miles from the nearest weather station ...

AI forecast models offer some clear benefits over traditional physical models, but they are ill-equipped to handle the increasing volatility of a warming climate.

As climate change intensifies, managing water systems from extreme floods and droughts to groundwater sustainability has ...

Claude's crypto predictions for Bitcoin, Ethereum and XRP by May 2026 lack verifiable sources, highlighting AI's limitations ...

BSES is using AI and machine learning-based forecasting, along with IMD-POSCO weather inputs, to predict demand and manage ...

A Texas A&M AgriLife Research study shows artificial intelligence can predict crop pest outbreaks more accurately than ...

For most of meteorology’s history, wind has been the atmosphere’s most uncooperative variable. Temperature reads cleanly off ...

Google has launched a new AI‑powered Flood Hub designed to flag flash‑flood risk up to 24 hours in advance. Experts say the ...

By Kofi O. ASENSOIn recent years, supply chains have transformed from simple logistical systems into complex, data-driven ecosystems. The disruptions caused by the global pandemic, trade tensions, and ...