Smoke Visualization of Turbulence (VIDEO) California Institute of Technology This video is under embargo. Please login to access this video. Caption This slow-mo video, taken with smoke for visualization purposes, was obtained in the Caltech Real Weather Wind Tunnel system at significantly lower flow speed than the actual experiments. (In a new paper in the journal npj Robotics, a team of researchers from Caltech and Nvidia describes a control strategy they have developed for unmanned aerial vehicles, or UAVs, called FALCON (Fourier Adaptive Learning and CONtrol). The strategy uses reinforcement learning, a form of artificial intelligence, to adaptively learn how turbulent wind can change over time and then uses that knowledge to control a UAV based on what it is experiencing in real time.) Credit Caltech Usage Restrictions none License Original content Disclaimer: AAAS and EurekAlert! are not responsible for the accuracy of news releases posted to EurekAlert! by contributing institutions or for the use of any information through the EurekAlert system.