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.

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 ...

ATLANTA — As Hurricane Erin churns in the Atlantic, the National Hurricane Center is incorporating a new forecasting tool this season: a machine-learning weather model developed by Google DeepMind.

Meteorologists and other environmental scientists rely on numerical forecast models to aid in developing a weather outlook. These models, such as the American GFS model and European ECMWF model, use ...

A wave of machine-learning weather models have been unleashed by some of the very biggest businesses on the planet. These challenge the orthodoxy of traditional physics-based computer forecasts that ...

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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 ...

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 ...

Get the latest federal technology news delivered to your inbox. Lawmakers in both chambers of Congress are pushing a proposal that would direct the National Oceanic and Atmospheric Administration to ...