For military drones to work their best, artificial intelligence and machine learning solutions have to run in extreme conditions—on the edge, in the sky, and on low-power hardware. Understand how we right-size our network architectures and deploy our solutions to low-size, low-weight, and low-power systems.
The next great breakthrough in medical research is out there, buried under billions of pieces of medical data, waiting to be discovered. We partnered with the Renaissance Computing Institute (RENCI) and the National Institutes of Health (NIH) to build ROBOKOP, a user-friendly natural-language search engine for medical researchers.
When the Defense Advanced Research Projects Agency (DARPA) wanted to combine information from disparate sensors, we built the first persistent object tracking software to fuse natural language with raw sensor data. Learn how our HERMIT software combines known target behaviors, analyst communications, and disparate sensor data to make sense of the world.
When the U.S. Army needed to detect buried threats at increased distances, we provided the data wrangling, analytics, and basic research support to prioritize funding decisions and identify promising combinations of sensors to achieve the Army’s mission. Learn how our fundamental science yields actionable intelligence to help solve complex problems.
Detecting problems with deep sea open wellbores requires 24/7 visual monitoring with humans in the loop. We built new machine learning and computer vision tools that automatically monitor a video feed from miles under water to keep rigs drilling and the environment safe.
When the U.S. Army needs to detect threats in infrared (IR) and RGB image data, we develop new kinds of machine learning algorithms that reliably detect enemy vehicles at extreme distances. Learn how we develop custom artificial intelligence and machine learning for Department of Defense aided target recognition applications.