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.

ECMWF has been developing the Artificial Intelligence Forecasting System (AIFS) to run side by side with its traditional physics-based Integrated Forecasting System (IFS) to advance numerical weather ...

StormNet, the free app offering real-time severe weather forecasting powered by OpenSnow, outperformed seven competing ...

The 2025 hurricane season was a coming-of-age story for AI weather models, which have been around in some capacity since ...

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 ...

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 ...

PG&E has begun using artificial intelligence to stay ahead of potential fires. The power company's machine learning model ...

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 ...

ZenaTech Inc. ZenaTech Launches Quantum Computing Project for Traffic Optimization and Weather Forecasting Using Drones 12-Dec-2024 / 14:00 CET/CEST The issuer is solely responsible for the content of ...

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 ...