Researchers are exploring AI-powered digital twins as a game-changing tool to accelerate the clean energy transition. These digital models simulate and optimize real-world energy systems like wind, ...

A new technical paper titled “Energy-Aware Deep Learning on Resource-Constrained Hardware” was published by researchers at Imperial College London and University of Cambridge. “The use of deep ...

Seeing nuclear as a flexible energy source - producing electricity, hydrogen and heat with large-scale energy storage - rather than merely as a source of baseload power means it can complement the ...