Robots, drones, artificial intelligence (AI) and other emerging digital technologies, which are already helping to advance nuclear decommissioning projects worldwide, are set to play an increasingly ...

Machine learning models are designed to take in data, to find patterns or relationships within those data, and to use what ...

Simulating the real world is a tremendously complex problem if you want to do it at any useful level of fidelity. Traditional techniques are holding back design teams at vehicle and aerospace ...

The University of Connecticut has partnered with Eversource, the state’s lead energy provider, in a research effort to predict extreme weather events and their effects on energy systems and ...

Understanding and predicting complex physical systems remain significant challenges in scientific research and engineering. Machine learning models, while powerful, often fail to follow the ...

US scientists John Clarke, Michel Devoret, and John Martinis have won the 2025 Nobel Prize in Physics for groundbreaking experiments demonstrating quantum physics in action. Their work, proving ...

Mohit Shrivastava pioneers physics-informed AI to build intelligent, energy-efficient data centers that redefine sustainable engineering.

Researchers from the Centre for Theoretical Physics, Jamia Millia Islamia, in India have combined data from baryon acoustic oscillations and supernovae to question our understanding of the nature of ...