Machine learning (ML) algorithms offer a promising solution in this challenging scenario. Here, I’ll dive into how ML goes beyond just being a popular term to become a powerful tool in ...

Researchers have developed a machine-learning workflow for processing complex 2D X-ray total scattering data from thin film ...

If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine ...

A new study presents a machine learning model that accurately predicts the compressive strength of high-strength concrete, ...

MicroAlgo's quantum machine learning algorithms leverage the parallelism and efficiency of quantum computing to accelerate the execution of machine learning tasks, enabling the processing of more ...

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 ...

Finding relationships between bio-signals and health outcomes is complicated for many reasons, including sorting out irrelevant data.

On the one hand, machine learning and artificial intelligence have already revolutionized our lives from everyday tasks to scientific research. On the other hand, quantum computing has emerged as ...