Rapid advances in artificial intelligence and satellite technology, along with deeper international cooperation, accelerated development across the global meteorological sector in 2024, boosting ...

The intermittent nature of solar energy poses challenges to grid stability, making accurate ultra-short-term solar irradiance ...

In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...

File photo: Pacific Gas & Electric Company is using AI and machine learning tools to create more accurate forecasts. The ...

The AI models, developed under an initiative called Project Eagle, promise to deliver better forecasts using less ...

The dangers of heat and humidity are so well known it's become cliché to mention them. But the impacts can extend farther ...

The models were built and deployed by NOAA's Environmental Modeling Center in coordination with the National Weather Service. A spokesperson for the service, Erica Grow Cei, ...

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

Predicting solar activity is crucial for understanding and mitigating its effects on the heliosphere, particularly with regard to Earth and its surrounding ...

NOAA is using those traditional forecasting models as frameworks for its new AI forecasting systems. The agency has estimated ...

CIGO Tracker's AI system continuously refines its predictions by analyzing new delivery data and identifying emerging patterns. The machine learning algorithms adapt to seasonal variations, changing ...