RIT researchers publish a paper in Nature Scientific Reports on a new tree-based machine learning algorithm used to predict chaos.

Global climate models capture many of the processes that shape Earth's weather and climate. Based on physics, chemistry, ...

In a study published in npj Digital Medicine, a team of researchers led by the University of Michigan developed a machine learning model that identified 17 environmental and social factors that can ...

As a global centre of excellence in weather and climate science, the Met Office has always been driven by innovation.

An agreement on the third implementation phase of Destination Earth (DestinE), the European Commission's initiative to ...

For Google Home, WeatherNext 2 provides hourly and daily forecasts, along with MetNet and other models, according to Google.

Science X is a network of high quality websites with most complete and comprehensive daily coverage of the full sweep of ...

Disaster Prediction API is a machine learning-based backend service that predicts the likelihood of natural disasters such as floods, storms, or extreme weather events based on meteorological data.

Abstract: Quantum Machine Learning (QML) presents as a revolutionary approach to weather forecasting by using quantum computing to improve predictive modeling capabilities. In this study, we apply QML ...

Add Yahoo as a preferred source to see more of our stories on Google. Photo Credit: iStock Weather prediction tools powered by artificial intelligence fall short when forecasting record-breaking ...

Production-ready machine learning system that predicts bike rental demand using real-world public APIs and historical data. Built with Docker-first architecture for seamless deployment, the system ...