Projects

An emergency response chatbot aims to enable centralized and reliable communications between the public and first responders.

This software program helps disaster responders extract actionable information from post-disaster aerial images.

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.

An algorithm uses camera imagery to estimate visibility for pilots flying in remote areas that lack weather sensors.

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.

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.