"Space-based AI: A Game-Changer in Tackling Climate Change by Detecting Methane Plumes"

Researchers from the University of Oxford and Trillium Technologies' NIO.space have developed a machine learning tool that can automatically detect methane plumes on Earth from space using hyperspectral data. Methane is a potent greenhouse gas, and identifying excessive emitters can help reduce emissions and combat climate change. The tool has an accuracy of over 81% for detecting large methane plumes and could potentially be used onboard satellites for real-time monitoring. The researchers have open-sourced the dataset and code used for the model, promoting further research in methane detection.