Weather forecasting is not easy. The truth is that predicting future weather conditions over broad, or even narrow, swaths of Earth's surface comes down to complex microphysical processes, and as ...

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.

American technology company IBM and the National Aeronautics and Space Administration (NASA) in the United States are trying to change the game in predicting solar weather patterns with Surya—an ...

Although the world's major weather centers increasingly use artificial intelligence to improve forecasts, complex ...

It feels like there’s no escaping AI right now, whether you’re trying to type a sentence without being interrupted by a digital “assistant” or struggling to find a new refrigerator that doesn’t ...

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 — A new milestone in weather forecasting has been achieved as the year closes – with NOAA’s release of new artificial intelligence weather models. The AI models, developed under an initiative ...

New Delhi: NASA has introduced the Transient Artefact and Continuous Learning System (TACLS) to process satellite data and produce localised flood forecasts in as little as 15 minutes. The automated ...

As companies generate more data across marketing, sales, customer engagement, and operational systems, commercial forecasting has become one of the most important functions in enterprise ...

Successful test results of a new machine learning (ML) technique developed at Georgia Tech could help communities prepare for extreme weather and coastal flooding. The approach could also be applied ...