2026-05-11 21:35 UTCSummary onlyUpdated: 2026-06-30 13:03 UTC

PSC Bridges-2 Helps Train AI to Predict and Explain Airport Collision Risks

May 11, 2026 — In managing airport traffic, small errors can cause catastrophe. Today at a NASA symposium in Los Angeles, a group from the CMU Robotics Institute’s AirLab reported using PSC’s Bridges-2 supercomputer to create World2Rules, an AI that draws from airport data and historical crash reports to help analyze and explain potential collision risks in airport operations.

SourceAIwireAuthor: Andrew Jolly

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World2Rules AI developed by CMU AirLab using PSC Bridges-2 supercomputer.
Combines neural and symbolic methods to learn interpretable safety rules from Amelia-42 dataset (10TB of FAA data).
Achieves 23.6% improvement over neural-only and 43.2% over symbolic-only in learning accurate safety rules.
Future work includes incorporating time-evolving dynamics and extending to other safety-critical domains.

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