Discover how a new AI system is revolutionizing energy management by merging machine learning and mathematical programming. This innovative approach ...

An international research team developed CyberSentry, a software framework using advanced deep learning and optimization techniques to enhance cybersecurity in SCADA systems for power plants and ...

This editorial explores how power systems can proactively tackle climate change amid soaring renewable energy penetration. It highlights existing research gaps and showcases cutting-edge studies on ...

Shallem, Greg Ravikovich and Eitan Har-Shoshanim examine how AI addresses the challenge of data overload in solar PV.

The latest versions of Apple's MacBook Pro laptops include M5 chips with revamped architecture to bring performance upgrades ...

Researchers at the Lawrence Berkeley National Laboratory have developed a design and training framework ...

A research team led by Prof. Tianyu Wang and Jialin Meng from the School of Integrated Circuits and State Key Laboratory of Crystal Materials at Shandong University has developed the world’s first ...

This studentship will develop physics-informed Edge AI methods for predictive health management of batteries and power electronics in electrified vehicles under real-world driving conditions.

Modern energy infrastructure is increasingly defined as cyber-physical systems where physical power distribution and digital ...

A new AI framework called THOR is transforming how scientists calculate the behavior of atoms inside materials. Instead of relying on slow simulations that take weeks of supercomputer time, the system ...

Beyond its methodological contribution, the study offers new insights into how stimulus-driven variability and internally generated gain fluctuations evolve over time and between brain areas. The ...