NYU's Physics-Informed AI 'Digital Twin' Forecasts Wildfire Spread in Real Time

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. The technology could transform wildfire response by providing real-time situational awareness and helping allocate resources more effectively. As wildfires grow more frequent and severe due to climate change, tools like this may become essential for protecting lives and property. The NYU team plans further validation and hopes to deploy the system in operational settings soon.