Relative topics
4 results for "artificial intelligence"
![Landslide aftermath. © Timo Volz, Unsplash](https://www.bgs.ac.uk/wp-content/uploads/2024/05/landslide-aftermath-timo-volz-unsplash.webp)
News and events
Studying multi-hazards from space
A new European Space Agency-funded project will study the effect earthquakes have on occurrences of other natural hazards in the long-term.
![Mayon_Volcano_with_cloudy_hat-scaled](https://www.bgs.ac.uk/wp-content/uploads/2024/06/Mayon_Volcano_with_cloudy_hat-scaled-1.jpg)
Research
Living in multi-hazard environments
Assessing geological hazard information to improve detection and forecasting of geo-hazards and build on current disaster risk management practices.
![Landslide debris, which has fallen from the top of a cliff covered in grass to a sandy beach below. A broken tarmac road can be seen to the left, with two people in high visibility jackets looking down towards the rubble](https://www.bgs.ac.uk/wp-content/uploads/2022/08/P917327.jpg)
News and events
Citizen science: become part of a real-time Global Landslide Detector
BGS and partners are trialling a new social media tool that detects worldwide landslides in real time.
![Figure 1. A year of seismicity in the epicentral area of the 2016 M=6.0 Amatrice earthquake (star) in Italy color coded by time of occurrence. (a) Real-time catalog, available at http://cnt.rm.ingv.it/ and (b) machine-learning catalog1 are shown for event magnitudes above their respective magnitude of completeness1,2 Mc=2.2 and Mc=0.5 (from Beroza et al., 2021).](https://www.bgs.ac.uk/wp-content/uploads/2021/07/seismicityInTheEpicentraArea.jpg)
News and events
The future of earthquake forecasting
Machine-learning illuminates earthquake activity with unprecedented detail, leading to improved earthquake forecasts.