July 8, 20255 min readFeatured
MML - Flood
Flooding is one of the most damaging natural disasters we face—and with climate change, the risks are only growing. In our latest research, we’ve developed a machine learning model that combines different types of data—like geographic information and past disaster records—to predict where floods are likely to happen over the next 1 to 5 years. By using both text and numbers together, our model performs significantly better than traditional methods, reaching up to 77% accuracy. It’s a step forward in using AI to plan ahead and reduce the impact of natural disasters.
by Nicole Zhang & Zein Mukhanov
Flood PredictionMachine LearningClimate Change