Density functional theory is a widely used computer-based quantum mechanical method for calculating properties of atoms, molecules, and materials.

One project Monteleoni worked on uses machine learning algorithms to combine the predictions of the approximately 30 climate models used by the Intergovernmental Panel on Climate Change.

To flexibly and robustly handle diverse problems, AI systems can leverage dual-process theories of human cognition that ...

So, you’re wondering what the deal is with programming languages for artificial intelligence, especially as we head ...

The 1990s were a boom time for new programming languages. The rise of the internet and the increasing complexity of software ...

As OEMs and machine builders continue to search for advantages in the digital age, the use of model-based design - an approach involving, at it's core, the ...

Opinion: Lidiya Mishchenko and Pooya Shoghi explain how to bridge a gap preventing successful patent claims to protect new ...

Some of the most encouraging results for reaction-enhancing catalysts come from one material in particular: tin (Sn). While ...

More information: Zhenghao Yin et al, Experimental quantum-enhanced kernel-based machine learning on a photonic processor, Nature Photonics (2025). DOI: 10.1038/s41566-025-01682-5 ...

So now, suddenly, when faced with terms like “hyperparameter tuning” and “unsupervised learning,” a 50-year-old brain initiates its own version of a denial-of-service attack in these courses.

In a comprehensive Genomic Press interview, Stanford University researcher Eric Sun reveals how machine learning is ...

Researchers developed a two-stage ML model to predict coating degradation by linking environmental factors to physical changes and corrosion. The framework enables more accurate, data-driven ...