A.I. Brings Big Gains to Hurricane Forecasts, Google Researchers Say

Analysis by the company’s DeepMind unit suggests that an A.I.-enabled model delivers accurate forecasts a day or more before conventional models can.

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AI Models Excelling in Scientific Discovery: AlphaFold-Multimer accurately predicts protein-protein interactions crucial for drug design, while NVIDIA's BioNeMo and Modulus platforms drive generative biology, chemistry, and physics-informed simulations, and Google DeepMind's GraphCast provides highly accurate weather and climate predictions.
AI Boosts Climate Modeling Accuracy: AI significantly enhances climate modeling by processing vast datasets from satellites and sensors, identifying complex patterns, and improving spatial and temporal resolution for more accurate simulations of future climate scenarios, including extreme weather and sea-level rise.
AI Advances Natural Disaster Prediction Beyond Hurricanes: AI algorithms have shown promise in predicting 70% of earthquakes a week in advance and have been used to significantly reduce active wildfires, while Google's AI-based flood forecasting tool now covers 2 billion people across over 150 countries, offering river flood forecasts up to 7 days in advance.