Read more about Deep learning disrupts weather forecasting, with accuracy that could save millions on Devdiscourse ...

Weather forecasting is getting cheaper and more accurate. An AI model named Aurora used machine learning to outperform current weather prediction systems, researchers report May 21 in Nature.

The training process is very expensive and requires a lot of computer power. However, after a model is trained, using it to make predictions is fast and cheap. This is a large part of their appeal for ...

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 ...

Current machine learning weather forecasting systems are not appropriate for climate projections, for three reasons. Firstly, to make weather predictions weeks into the future, you can assume that ...

Once trained, typically on 40 years of historical weather data from ECMWF, a machine-learning model like Google’s GraphCast can run on less than 5,500 lines of code, compared with the nearly ...

What you’ll learn: How Earth-2 uses AI and GPU hardware to make forecasts. Weather-pattern simulations created with Nvidia’s Omniverse. How GraphCast predicts weather a week-plus in advance.