Vybe Energy’s platform uses advanced machine learning and surrogate-based optimization for improved efficiency while ...

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

Know how AI-agents in the grid optimize peer-to-peer pricing. Learn how automated trading bots within the energy stack ...

As net zero mandates tighten, Siemens, Honeywell and Johnson Controls are using AI to turn static structures into smart ecosystems ...

Does cloud-free AI have the cutting-edge over data processing and storage on centralised, remote servers by providers like ...

By applying new methods of machine learning to quantum chemistry research, Heidelberg University scientists have made significant strides in computational chemistry. They have achieved a major ...

AI in daily life powers hidden features in smartphones, appliances, navigation, and fitness devices, enhancing efficiency, personalization, and predictive performance seamlessly.

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 ...

Modernization projects are becoming a long-term, recurring revenue engine for manufacturers and service providers. Rapid urban migration and vertical real estate development in Asia-Pacific, the ...

New research by Energy Systems Catapult identifies the innovations needed to unlock a £70 billion opportunity for the UK.

RS offers an extensive selection of smart products optimized to support predictive maintenance strategies and improve ...