Projects

New machine learning methods capture statistical features within sonar data to distinguish between sound sources.

Teaming autonomous ground and aerial vehicles improves autonomous off-road military missions.

A new approach to materials discovery aims to expedite the process of deploying new materials for specific mission needs.

By compiling lightning data, satellite imagery, and numerical weather models, the GSWR provides radar-like analyses and forecasts over regions not observed by actual weather radars.

We are using reinforcement learning to train artificial intelligence to team with humans.

We are building an open-source toolbox to help researchers more easily design, evaluate, and monitor artificial intelligence (AI) systems.

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 are developing a sensor network to improve our understanding and monitoring of sea ice breakup in the rapidly changing Arctic region.

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