Ph.D. student Phillip Si and Assistant Professor Peng Chen developed Latent-EnSF, a technique that improves how ML models assimilate data to make predictions.

Astitha and her research group are at the forefront of exploring ways to improve weather prediction using AI and machine learning to enhance existing physics-based models. They developed new methods ...

A range of national meteorological services across Europe and ECMWF have launched Anemoi, a framework for creating machine learning (ML) weather forecasting systems. Named after the Greek gods of the ...

The Sun’ll come out tomorrow, and you no longer have to bet your bottom dollar to be sure of it. Google’s DeepMind team released its latest weather prediction model this week, which outperforms a ...

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PALM BEACH, Fla., Dec. 12, 2024 (GLOBE NEWSWIRE) -- FN Media Group News Commentary - Most industry insiders believe that Quantum Computing is potentially a better fit for weather forecasting than ...

As climate extremes intensify across Africa, the need for accurate and timely weather prediction has become increasingly urgent. Floods, heatwaves, droughts, and air pollution events are placing a ...

OKLAHOMA CITY — Artificial intelligence is everywhere from our smartphones to self-driving cars, even at the grocery store. Everything is getting smarter. So, why shouldn't severe weather forecasts ...

When supply chain practitioners think about forecasting, they focus on demand forecasting. Demand forecasting is essential, but the number of different forecasts that an effective organization should ...