CMU Researchers Develop AI System to Help Prevent Airport Collisions
Near misses like the one at New York’s John F. Kennedy International airport inspired a group from the AirLab(opens in new window) in Carnegie Mellon University’s Robotics Institute(opens in new window) (RI) to create World2Rules, an AI system that learns interpretable safety rules from data to analyze, verify and explain potential collision scenarios. By learning from both everyday airport activity and documented safety violations, the system builds a clear picture of what…

