Artificial intelligence for disaster risk reduction

Wildfires are a worldwide problem requiring global collaboration to successfully manage and minimise the risk of occurrence. Artificial intelligence algorithms, combined with end-to-end fire management systems, are powerful tools for combating wildfires.

Deep-learning models can be trained to assess the magnitude of mega earthquakes in real time.

A new study by researchers from Hiroshima University introduced a novel artificial intelligence (AI)-based technique for estimating site amplification factors from data on ambient vibrations or microtremors of the ground.

A novel approach to weather forecasting uses convolutional neural networks to generate exceptionally fast global forecasts based on past weather data.

A reliable early warning system to detect tsunamis could be a step closer thanks to research from Cardiff University.

Large amounts of data and new methods and technologies with which to analyze them. The new frontier of machine learning – a branch of artificial intelligence – at the service of climate studies, in research by the CMCC Foundation and Ca’ Foscari University .