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 ...

Discover the best AI tools for weather forecasting that help businesses improve prediction accuracy, optimize operations, and ...

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

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 ...

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 ...

Accurately predicting solar irradiance and wind flow patterns is requisite for renewable energy forecasting—but precision alone simply isn't enough. The data must be actionable, fast, and seamlessly ...

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 ...

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

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 ...