Rapidly-evolving smart grid technologies add complexity for electric utilities working to maintain a balanced network and ...

For the first time, large language models performed on a par with gold medallists in the International Mathematical Olympiad.

A new theory-guided framework could help scientists probe the properties of new semiconductors for next-generation ...

Recent advances in large foundation models promise to automate complex tasks in architecture, engineering, and construction (AEC). These models offer ...

Choosing the right generative AI architecture is crucial for professional problem-solving applications. Generalist models ...

Across the tech ecosystem, organizations are coalescing around a shared vision: The smarter future of AI lies at the edge.

Karst groundwaters are vital resources, providing drinking water to nearly 10% of the world’s population. However, human activities and global change have deteriorated the karst water quality and ...

The paper introduces a method to model various synchronous electrical machines called the equivalent circuit model (ECM). The purpose of developing ECM is to present an efficient machine model that is ...

Machine Learning (ML)-based compact modeling provides a promising alternative to traditional physics-based methods, enabling faster development of compact models for novel devices while offering ...

An international team led by Einstein Professor Cecilia Clementi in the Department of Physics at Freie Universität Berlin has ...