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

Previous methods struggle to incorporate real-time data or account for nonlinear interactions among macroeconomic variables.

Machine learning models can accurately predict which babies are at risk of being born with low birth weight, enabling earlier and more effective medical intervention.

Medulloblastoma the most common malignant pediatric brain tumor with a high risk of metastasis and poor survival outcomes.

Medulloblastoma the most common malignant pediatric brain tumor with a high risk of metastasis and poor survival outcomes. To ...

A new machine learning approach tries to better emulate the human brain, in hopes of creating more capable agentic AI.

Prasun Chaudhuri speaks to expert Subrata Das about the opportunities. Das is currently an adjunct faculty member at ...

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.

The increasing prevalence of myopia is a global health concern, with high myopia increasing the risk of vision damage. This ...