A study by University of Arizona researchers describes how machine learning can retrieve horizontal winds from the silent ...

By layering heat risk, demographics and tree canopy data, the city is prioritizing vulnerable neighborhoods as extreme heat ...

Machine learning and deep learning models are now widely used to classify disease cases, forecast outbreaks, and analyze epidemiological trends, often achieving high levels of accuracy in controlled ...

The right renovation choices can make a major difference—for both the climate and the economy. However, what works best ...

Scientists have found a way to make AI much better at predicting complex, chaotic systems by tapping into the unique power of ...

New AI systems are transforming environmental science, from forecasting rapid renewable energy growth to predicting wildfires and harmful algal blooms. The PROLONG model suggests global wind and solar ...

A wildfire forecasting system powered by artificial intelligence was around 30% better at identifying dangerous fire ...

Landslide risk is rising as extreme rainfall intensifies. New tools using satellite data and AI can help map where failures ...

With the help of their own TARDIS, California State University, Northridge environmental biologists have been studying ...

Wind and solar power may be heading for a faster global expansion than most official forecasts have projected, according to a ...

A new AI-driven method called GOFLOW is turning weather satellite images into highly detailed maps of ocean currents. By ...

Our team at Climate Solidarity is an interdisciplinary group of scientists, engineers, and designers across four divisions ...