They are developing an AI capable of predicting how ambulances move in urban traffic to improve response times

Researchers at the NYU Tandon School of Engineering have developed a new artificial intelligence system designed to predict how ambulances move through urban traffic. The primary goal of this technology is to improve emergency response times in cities.

Urban traffic congestion remains a major hurdle for emergency medical services, making accurate prediction models vital for optimizing routes and reducing delays in life-saving operations.