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.

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, ...

The field of economic models and forecasting encompasses the development and application of theoretical, empirical and computational frameworks to predict future economic outcomes. These models range ...

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 ...

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

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 ...

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 ...