Nature

Deep Reinforcement Learning for Active Flow Control

Deep reinforcement learning (DRL) has emerged as a transformative approach in the realm of fluid dynamics, offering a data-driven framework to tackle the intrinsic complexities of active flow control.
CNN

CNN goes inside the academy preparing air traffic controllers to manage the high-stress and high-stakes skies

On a sprawling campus in the middle of the nation, thousands of students learn how to take command of the nation’s skies. The Federal Aviation Administration Academy, near the Oklahoma City airport, ...