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.

In 2012, Automation World published an article looking at the decision factors faced when choosing electric or pneumatic actuators. More than a decade later, manufacturing engineers and OEMs still ...