Abstract: Graph Neural Networks (GNNs) have emerged as a powerful tool for addressing modern power system challenges by leveraging the inherent graph structure of power networks. This review ...

Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and other artificial intelligence (AI) models, learn to make accurate ...

A new international study has introduced Curved Neural Networks—a new type of AI memory architecture inspired by ideas from geometry. The study shows that bending the "space" in which AI "thinks" can ...

3I/ATLAS, earlier known as A11pI3Z, is only the third interstellar visitor to be discovered passing through our corner of the galaxy. By Kenneth Chang For only the third time, astronomers have found ...

Thanks to the neural network, the researchers now suspect, for example, that the black hole at the center of the Milky Way is spinning almost at top speed. Its rotation axis points to Earth. In ...

Abstract: Solar tracking systems improve the efficiency of photovoltaic (PV) and concentrated solar power technologies by maximizing solar energy capture. However, their performance is affected by ...

A sophisticated machine learning system that uses Long Short-Term Memory (LSTM) neural networks to forecast solar activity and space weather conditions. This system analyzes historical solar data ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Access to the potential energy Hessian enables determination of the Gibbs free energy ...