The Department of Energy (DOE) has released specifications for 26 artificial intelligence (AI) challenges under its Genesis ...

A new low-power sensor node framework combines sensing and machine learning, with the potential to enhance real-time ...

In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of ...

Plasma mirrors capable of withstanding the intensity of powerful lasers are being designed through an emerging machine ...

Georgia Tech’s Qi Tang is building machine learning (ML) models to accelerate nuclear fusion research, making it more affordable and more accurate. Backed by a grant from the U.S. Department of Energy ...

AI is driving record power demand in data centers, with rack densities hitting 150 kW. C&D Technologies helps operators ...

EPFL roboticists have shown that when a modular robot shares power, sensing, and communication resources among its individual ...

South Korean researchers have developed a guided-learning framework that accurately predicts PV power without requiring irradiance sensors during operation, using routine meteorological data instead.

Researchers at the Indian Institute of Science (IISc) have uncovered fundamental insights into designing gallium nitride (GaN ...

The goal of the summer job is to assist the mechatronics research group in their research. The specific job description will be defined based on the selected candidate's skills and interests.