Projects

Lincoln Laboratory's ML-HYDRAS tool will help users plan flood mitigation measures, model damage and debris flow, and prioritize resource allocation before, during, and after emergencies.

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.

This machine learning model will help military and hospital personnel predict when servicemembers and patients may recover following an injury or surgery.

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.