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 …
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 …
