In less than three years, artificial intelligence (AI) algorithms developed under DARPA’s Air Combat Evolution (ACE) program have progressed from controlling simulated F-16s flying aerial dogfights on computer screens to …
A sampling of PhysicsAI’s 2021 year in review: ✅We trained a deep neural network in less than one hour to drive a 26-ton US Army truck to perform convoy leader …
U.S. military researchers are asking artificial intelligence (AI) experts at PhysicsAI in Pacifica, Calif., to develop AI algorithms to enable future experimental high-performance unmanned combat aircraft to formulate teams of …
PhysicsAI will participate in a virtual competition designed to demonstrate advanced artificial intelligence (AI) algorithms that can perform simulated within-visual-range air combat maneuvering, colloquially known as a dogfight. Participants will …
Research paper published by IEEE in the 2018 21st International Conference on Intelligent Transportation Systems (ITSC). We investigate a deep learning methodology that can produce more accurate behaviors for autonomous …
In this Phase II project, PhysicsAI will develop, integrate, and demonstrate a prototype system that can incrementally learn robotic following behaviors on a large vehicle, using deep learning algorithms and …
