AI enabled early warning system for earthquake intensity
From Alerts to Actionable Intelligence: A Leap Forward in Earthquake Early Warning Systems
People:
Partners:
Prof. Rodrigo Astroza (University of the Andes), Prof. Sergio Ruiz (University of Chile)
Media links:
LinkedIn Post - University of Exeter
Technical approaches:
Machine learning, Early warning systems
Challenge area:
Development of a physics-informed AI-based earthquake early warning (EEW) system that predicts ground shaking intensity within seconds of an earthquake's onset, enabling life-saving action.
Find out more about the AI-enabled earthquake early warning system project
