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

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.

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 ...

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

While AI-driven approaches tout increased speed and lower costs, commercial interests compromise scientific collaboration.

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

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 ...

This article explores the current applications of artificial intelligence (AI) in chromatography. It anticipates AI’s transformative benefits for the future, looking at the impacts that separation ...

In Optica Quantum, Okinawa Institute of Science and Technology (OIST) researchers propose the first practical application of ...

Machine learning methods enable computers to learn without being explicitly programmed and have multiple applications, for example, in the improvement of data mining algorithms.

A team of researchers at the University of Nottingham have developed new AI tools to encourage chemists and chemical engineers to make their processes more sustainable.

In the field of mineral exploration, it is strikingly evident that radioactive-bearing mineralization predominantly resides within granitic intrusions and along structural discontinuities.