Rainfall prediction has advanced rapidly with the adoption of machine learning, but most models remain optimized for overall ...

AI matches daily forecasts like never before, but when it comes to heat, cold, and wind records, HRES physics rules.

Statistical models predict stock trends using historical data and mathematical equations. Common statistical models include regression, time series, and risk assessment tools. Effective use depends on ...

Accurately predicting the weather is hard — really hard, but a new AI-powered forecast model just hit a milestone that has experts saying your forecast could soon get more accurate, and further out, ...

BOULDER, Colo. – OpenSnow, a trusted source for the most accurate U.S. weather forecasts, snow reports, and AI-powered weather maps, is launching first-of-their-kind new tools this winter that ...

The landscape of demand forecasting, data science and machine learning is rapidly evolving, as companies seek innovative approaches to handle the intricate intersection between technology and consumer ...

After a merciful lack of hurricanes in the U.S. and an unusually quiet Gulf of Mexico, the 2025 Atlantic hurricane season wasn’t too memorable in Louisiana. But the season will be remembered for ...

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

Google DeepMind, a London-based AI research lab, has been in the business of machine learning-based weather forecasting for several years, but back in June announced a new experimental AI model ...

In this interview News Medical is talking to David James about pharmaceutical forecasting, J+D Forecasting solutions and their plans for the future. Pharmaceutical forecasting sounds very niche and ...