We are finally learning how to farm the sky for energy. All this time, the fastest, most consistent winds on Earth have stayed just out of reach. They swirled thousands of feet above our heads while ...

Abstract: This paper investigates the identification and resolution of social dilemmas in multi-agent reinforcement learning. The model of multi-agent environment was developed to simulate agent ...

In the first instalment of LCGC International's interview series exploring how artificial intelligence (AI)/machine learning ...

From predictive maintenance to training, digital twins are becoming a core platform for operational efficiency in these sectors.

Vertiv’s record Q4 results highlight surging demand for AI data center infrastructure, as operators accelerate investment in ...

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

Digital twins and prognostic models deliver detailed insights into a battery’s behaviour and lifespan, and machine learning..

This visualization shows moderately large pressure fluctuations within a 35-trillion-grid-point turbulence simulation, ...

The final, formatted version of the article will be published soon. The operation of fuel cell electric vehicle-to-grid (FCEV2G) stations presents a significant challenge due to the need to manage ...

Tim Stebbins interviews Parker Messick to reflect on the 2025 season, his MLB debut, how he's been training in the offseason and more ...