Projects

With the goal of enabling navigation in environments where GPS is unavailable or unreliable, researchers are developing algorithms to fuse information across a network of small, low-power radio-frequency devices.

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

We are using reinforcement learning to train artificial intelligence to team with humans and carry out complex military operations.

Dedicated satellite imaging could help coordinate emergency response to disasters.

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.

Optical atomic clocks are the most accurate in the world, but they are very large, sensitive instruments. We are transforming the complex components of these clocks into a compact, portable platform.

A deployable navigation network of small, low-cost radio transponders can help track the locations of first responders during rescue operations.

We seek to innovate and accelerate solutions to address AI's carbon footprint and reduce data center energy usage.  

We are designing a satellite-based lidar system to categorize aerosols in the atmosphere.