To effectively protect biodiversity in an era of climate change, ecologists first have to know where animal and plant species ...

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 ...

Researchers from the group of theoretical physicist Hans Briegel have collaborated with NVIDIA to develop an AI method that ...

"The machine-learning community is focused on achieving accuracy in a system without necessarily understanding why a system is working," Abdelaleem explains. "As physicists, however, we want to ...

With the growing emphasis on sustainable development, the demand for environmentally friendly solvents in green chemical ...

Net, a hybrid model that improves energy consumption prediction in low-energy buildings, enhancing accuracy and ...

As artificial intelligence explodes in popularity, two of its pioneers have nabbed the 2024 Nobel Prize in physics. The prize surprised many, as these developments are typically associated with ...

Machine learning has pushed the boundaries in several fields, including personalized medicine, self-driving cars and customized advertisements. Research has shown, however, that these systems memorize ...

A new research review looks at how computer vision and machine learning could be used to spot defects in 3D printed concrete.

A new study led by researchers from VIB and KU Leuven shows that Parkinson's disease can be divided into distinct subtypes, ...