Google is using old news reports and AI to predict flash floods

Google developed a flash flood prediction system by using Gemini (an LLM, or large language model) to analyze 5 million news articles and extract data about 2.6 million floods, creating a dataset called Groundsource. This dataset trained a machine learning model (LSTM, a type of neural network) that now provides flood risk forecasts for urban areas in 150 countries on Google's Flood Hub platform, though it has limitations like lower resolution than traditional weather services.