Reinforcement learning algorithm enables hydraulic power without power switching complications, enabling improved energy ...

This system utilizes machine learning algorithms to optimize the operation of particle accelerators, reducing manual intervention and enhancing precision in real-time control. By integrating virtual ...

Automation experts from Beckhoff, DigiKey and Siemens Digital Industries explain how AI enhances motion control across ...

UC Santa Cruz’s group of researchers were the winning team of the L2RPN Delft 2023, a competition which invited participants from around the world to use reinforcement learning or similar techniques ...

The Earth's oceans, covering over 70% of the planet's surface, represent a vast frontier for scientific discovery and resource utilization, yet remain ...

The inside of a tokamak—the doughnut-shaped vessel designed to contain a nuclear fusion reaction—presents a special kind of chaos. Hydrogen atoms are smashed together at unfathomably high temperatures ...

Shape Memory Alloys (SMAs) have emerged as critical components in the field of robotics, offering compact and ...

Space exploration has always relied on the continuous improvement of spacecraft propulsion systems. As humanity dreams of ...

A new AI model that optimizes the use of renewables and other energy sources outperforms traditional power restoration techniques for islanded microgrids, a new paper shows. It's a story that's become ...