MIT researchers developed a new, machine learning-based adaptive control algorithm that could minimize deviation from intended targets in the face of unpredictable forces like gusty winds. Unlike standard approaches, the new technique doesn't require the person programming the autonomous drone to know about the structure of the disturbances. Instead, the control system’s artificial intelligence model learns all it needs to know from a small amount of observational data collected from 15 minutes of flight time.