Machine learning technique teaches power-generating kites to extract energy from turbulent airflows more effectively, ...

In an RL-based control system, the turbine (or wind farm) controller is realized as an agent that observes the state of the ...

Overview:  Reinforcement learning in 2025 is more practical than ever, with Python libraries evolving to support real-world simulations, robotics, and deci ...

Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...

AI methods are increasingly being used to improve grid reliability. Physics-informed neural networks are highlighted as a ...

Fluid–structure interaction (FSI) governs how flowing water and air interact with marine structures—from wind turbines to ...

Recent developments in machine learning techniques have been supported by the continuous increase in availability of high-performance computational resources and data. While large volumes of data are ...

Scientists are trying to tame the chaos of modern artificial intelligence by doing something very old fashioned: drawing a ...

A shortage of qualified AI engineers and other talent as well as escalating corporate reliance on AI strategy are pushing AI ...