Radio-Based Navigation for Environments Without GPS
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.
Materials by Design
A new approach to materials discovery aims to expedite the process of deploying new materials for specific mission needs.
Mission-Ready Reinforcement Learning
We are using reinforcement learning to train artificial intelligence to team with humans and carry out complex military operations.
Responsible AI Toolbox
We are building an open-source toolbox to help researchers more easily design, evaluate, and monitor artificial intelligence (AI) systems.
Machine Learning in Resource-Constrained Environments
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.
Compact Optical Trapped-Ion Array Clock
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.
Low-Cost Localization Using Distributed Adaptable-Response Transponders
A deployable navigation network of small, low-cost radio transponders can help track the locations of first responders during rescue operations.
Green Instrumentation and Experimentation
We seek to innovate and accelerate solutions to address AI's carbon footprint and reduce data center energy usage.
Atmospheric Aerosol Characterization
We are designing a satellite-based lidar system to categorize aerosols in the atmosphere.