AI autonomously discovers unified multi-hazard prediction theory from IoT weather data

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A new research paper presents AlphaEvolve, an AI system designed to autonomously discover algorithms for predicting multiple natural disasters. It uses data from widespread, low-cost IoT weather sensors, such as Netatmo devices, to address gaps in traditional governmental observation networks. The system aims to improve forecasting of localized, fast-forming events like guerrilla rainstorms, earthquakes, and volcanic eruptions. The goal is to provide more accurate and timely warnings by detecting subtle signals hidden in large-scale environmental data.

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