We plugged that information into a machine learning method known as “random forests,” which uses many decision trees to split a mass of data and predict the likelihood of different outcomes.

For instance, locations with relatively few weather observations with which to train a machine learning system may not benefit from forecast improvements that are seen in other areas.

Deep Thunder can forecast weather for targeted areas retrospectively, and use machine learning-based weather impact models to help businesses more precisely predict how even modest variations in ...

He noted that a pathologist looking at tissue data typically sees 200,000 samples in his or her work lifetime, but with deep learning and modern graphics cards, a computer system can process that ...

Machine learning algorithms have vastly improved the precision of weather forecasts. These algorithms analyze massive ...

A new machine learning technique, Latent-EnSF, enhances data assimilation for weather forecasting and tsunami prediction, showing improved accuracy, speed, and efficiency over existing methods.

Dublin, June 29, 2022 (GLOBE NEWSWIRE) -- The "Weather Forecasting Services Market Size, Share & Trends Analysis Report By Forecast (Nowcasting, Short-range), By Organization Size, By Industry, By ...

MIT researchers have created a periodic table that shows how more than 20 classical machine-learning algorithms are connected. The new framework sheds light on how scientists could fuse strategies ...