Projects

Robust, trustworthy, and safe machine learning algorithms that operate in resource-constrained environments will improve missile defense and other target recognition and mission planning systems.

Powered by our automatic speech recognition technology, the Networked Pronunciation Feedback (NetProF) software application helps students practice pronunciation in foreign languages.

We compiled a massive open-source dataset to develop deep learning models capable of detecting and predicting tornadoes.

We are developing tools to enhance the explainability of artificial intelligence (AI) systems for improved human-AI collaboration.

We developed new distributed coordination algorithms for deploying multiple autonomous systems from a single set of operator commands.

A new collaboration space is empowering researchers to drive innovations in human-AI teaming.

Hemorrhage causes 90% of preventable battlefield deaths. AI-GUIDE is designed to address this issue by enabling medics to catheterize a major blood vessel, through which life-saving aid can be delivered, in a pre-hospital setting.

We are developing scalable tools and techniques to accelerate the design and evaluation of reliable, mission-ready artificial intelligence systems.

Teams of autonomous systems learn collaboration strategies by hypothesizing how the team would perform if one system followed alternative trajectories or was eliminated from the team.

Our model optimizes the scheduling of aerial refueling missions, saving fuel and costs for the Department of War.