Projects

We are developing a compact and encapsulated optical salinity sensor to enable more distributed and persistent monitoring of the ocean’s 3D structure.

We are developing a neural network using data derived from satellite measurements of temperature and humidity to improve drought monitoring and forecasting.

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

New navigation and vehicle autonomy algorithms consider which tasks humans and autonomous systems respectively do best, with the goal of improving search path planning and object classification in underwater environments.

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.

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.