Researchers have developed a deep learning model that can predict wildfire spread using ensemble simulations at a fraction of the cost of traditional physics-based simulators. The model was trained on 10,584 fire spread simulations and found that surface fuel load is the most important predictor of burn probability. This research has implications for the development of AI agents that can analyze and predict environmental disasters.