Mosaic ATM is excited to announce the launch of the Performance-Based Flow Management (PBFM) Benchmarking Large Language Model LLM Evaluation project, PBLE. This project aims to evaluate whether artificial intelligence can facilitate the implementation of the PBFM concept and improve Traffic Flow Management (TFM) decision-making.
In this white paper, we explore Mosaic ATM’s air traffic controller communications training tool, the Reconfigurable Interactive Communications Training Environment (RICTE), which leverages artificial intelligence to simulate realistic, multi-modal communication scenarios, enhancing the training effectiveness and proficiency of air traffic controllers.
In this white paper, we explore using large language models and on-premises AI to transcribe and analyze pilot- controller communications, enhancing aviation safety and efficiency through real-time insights and secure, customizable deployment.