VIVAERO New AI tool predicts airport traffic to avert devastating collisions In managing airport traffic, small errors can cause catastrophe. A group from the CMU Robotics Institute 's AirLab used the Pittsburgh Supercomputing Center 's Bridges-2 supercomputer to create World2Rules , an AI that draws from airport data and historical crash reports to help human controllers spot collisions before they happen. Their paper is published on the arXiv preprint server. Why it's important...On March 12, 2026, an air traffic controller told an Air Canada jet that had just landed at JFK Airport in New York to wait before crossing a runway, to avoid an EVA Air jet that was landing. The Air Canada crew acknowledged the instructions. But they began moving right away, while the EVA jet was still traveling toward them at a high speed. Fortunately, the alert controller transmitted, "Stop stop stop stop" in time. The Air Canada plane stopped, the EVA plane zoomed by it, and ther...
