This project brings together experts in biomedical instrumentation, signal processing, neurophysiology, psychophysics, computer vision, Artificial Intelligence (AI), and Machine Learning (ML), as well as Air Force pilots, to develop and test AI-based, multi-modal physiologic sensor fusion approaches for objective performance prediction and optimization. The project will leverage immersive virtual environments to train pilots and unobtrusively measure predictors of performance. A series of Challenge Datasets developed from the program will be used to engage the community. Partnering with multiple governmental research efforts and Air Education and Training Command’s myriad pilot training units, the team seeks to provide proof-of-concept by demonstrably accelerating pilot training timelines, producing “better pilots faster.” These methods for accelerating training can then be transferred to all modes of learning across many disciplines and any task requiring significant cognitive effort.