The Defense Advanced Research Projects Agency (DARPA) has awarded PhysicsAI a prime contract under the Albatross program, a cutting-edge initiative to develop autonomous soaring capabilities for unmanned aerial vehicles (UAVs). …
The Defense Advanced Research Projects Agency has selected software company EpiSci in partnership with PhysicsAI to develop the first version of “tactical artificial intelligence algorithms for missionized, team-based air combat”. …
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 …
In this project PhysicsAI is developing a framework for using deep reinforcement learning (DeepRL) to create optimal training data from simulated imagery in order to train machine learning models with …
In this project, PhysicsAI is developing a spatiotemporal video perception capability based on end-to-end deep neural networks (DNNs) for exploiting full-motion EO/IR sensors mounted on vehicles to provide a real-time …
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 …
PhysicsAI will develop a framework for using deep reinforcement learning to create optimal training data from simulated imagery in order to train machine learning models with improved accuracy, increased robustness, …
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 I project PhysicsAI is developing a system that will allow real-time on-the-move integrated spatiotemporal processing of full-motion video data from EO/IR sensors for detection of in-road and …
