A new Research Topic in Frontiers in Electronics shows how wearable sensors and machine learning models, from heart rate ...

The arrangement of electrons in matter, known as the electronic structure, plays a crucial role in fundamental but also applied research, such as drug design and energy storage. However, the lack of a ...

Researchers used a hierarchical machine learning strategy to identify tungsten bronze oxides and guide bismuth and germanium ...

Electron density prediction for a four-million-atom aluminum system using machine learning, deemed to be infeasible using traditional DFT method. × Researchers from Michigan Tech and the University of ...

Cardiovascular disease is the leading cause of death worldwide. Hypertension, as one of the predisposing factors of cardiovascular disease, is an important reason for the high incidence of ...

Chemists at Yokohama National University combined competition experiments, 3D electronic data and machine learning to predict ...

Why floating point is important for developing machine-learning models. What floating-point formats are used with machine learning? Over the last two decades, compute-intensive artificial-intelligence ...

The skies are an invisible battlefield, a realm where signals clash and information reigns supreme. For decades, military ...