Leveraging machine learning to find security vulnerabilities
Leveraging machine learning to find security vulnerabilities
Feb 17, 2022
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NIWA is using machine learning to forecast flood inundation in a fraction of the time required to run physical models. 🤖 Effective flood preparation and response requires knowing not just whether a river is running high, but what areas will be flooded, and what’s at risk from that potential flooding. 🏘️ The team are exploring how AI will help them move from weather forecasts to inundation forecasts quickly enough so that useful information gets to those who need it. Predicting flood maps with
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FacebookEarth Sciences New Zealand
🌊 Can AI actually help forecast floods – and save lives? The Google Flood Hub is an open-access tool using artificial intelligence to forecast flood risks up to 7 days in advance. The system is designed for impact, co-developed with governments, NGOs and UN partners. 💡 By training on global patterns of rainfall and river behaviour, it levels the playing field for countries with limited data. 📡 Alerts reach communities directly, reducing post-disaster costs. 🌍 Tools are freely available to na
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FacebookUNDRR
Flood forecasts in real-time with block-by-block data could save lives – a new machine learning method makes it possible
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