Researchers at the Department of Energy's Lawrence Berkeley National Laboratory (Berkeley Lab) have made a breakthrough in laser technology by using machine learning (ML) to help stabilize a ...

Scientists in Japan have developed a new, highly efficient method for designing wireless power transfer (WPT) systems. Based on machine learning, the method enables a system to maintain stable voltage ...

The convergence of artificial intelligence and digital twin technology is emerging as a transformative solution, enabling power producers to shift from static control systems to dynamic, ...

AI data centers feature extremely high power densities, with loads that can ramp up or down within seconds, creating significant challenges for power system stability. Power quality issues such as ...

The global energy landscape is transforming, and nowhere is this more evident than the electricity sector. Technological advancements, shifting economic conditions, and evolving environmental policies ...

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...