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NYU's Physics-Informed AI 'Digital Twin' Forecasts Wildfire Spread in Real Time | Nova Global News

Nova Global News

NYU's Physics-Informed AI 'Digital Twin' Forecasts Wildfire Spread in Real Time | Nova Global News

Content overview: “NYU's Physics-Informed AI 'Digital Twin' Forecasts Wildfire Spread in Real Time | Nova Glo”. Researchers at New York University's Fire Research Group have developed a new AI system that acts as a digital twin of an active wildfire, capable of forecasting fire spread in near real time. Early testing shows the tool can predict how a fire will evolve, potentially giving firefighters a critical Researchers at New York University's Fire Research Group have developed a new AI system that acts as a digital twin of an active wildfire, capable of forecasting fire spread in near real time.

Early testing shows the tool can predict how a fire will evolve, potentially giving firefighters a critical advantage. The system integrates physics-based models with machine learning to simulate fire behavior dynamically. Unlike traditional models that can take hours, this AI aims to deliver updates in seconds, enabling faster decision-making during fast-moving incidents. This listing links straight to the original page, where the content is available in full.

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