Department of Defense

Machine Learning Dataset Auto Generator (ML-DAG)

Computational Models and Wearable Sensors for Real-Time Assessments of Soldiers' Performance in Complex Tasks

Futures Emergency Management through Artificial Intelligence

Commerical Solutions for Innovative Space Data Analytics

Automated Cyber Opposition Forces

Machine Learning for Defense Applications

Autonomous Flight Termination Analysis and Real Time Subsequent Debris Impacts

Standalone Non-Invasive Sensing of Cyber Intrusions in FADEC for Critical Aircraft System Protection

Development of a real-time biomarker sensor for the assessment of high threat events during Battlefield Airmen training and operations

Novel Approaches for Eliminating Bias Drift in Infrared Focal Plane Arrays

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