Because small changes in atmospheric and surface conditions can have large, difficult-to-predict effects on future weather ... the forecasting models.) The team found that using the deep learning ...

Then, using current weather data, they would make weather predictions based on what they’ve learned from the past. Some studies have shown that machine learning-based forecast systems can ...

Successful test results of a new machine learning (ML) technique developed ... In experiments predicting medium-range weather ...

Every day, meteorologist Hannah Wangari takes the free graphs and maps produced by the five forecasting ... They use machine learning that draws from 40 years of open-source weather data to ...

We use it to train algorithms that tackle various tasks, from forecasting weather to predicting March Madness upsets. But applying machine learning requires data – and the more data the better.

The achievement suggests that future weather forecasting may become far ... what researchers call a "graph neural network" machine-learning architecture, trained on over four decades of ECMWF's ...

Those of us lucky enough to be sitting by a window can predict the weather just by looking outside, but for the less privileged, weather forecasting ... though the use of a machine learning ...

Machine learning technology that can recognize human faces may also help to improve weather forecasts, according to a team of scientists. "The idea behind this work comes from Google's FaceNet ...