Overview: AI models may unintentionally learn from one another through shared datasets, especially in open-source communities ...

Neural networks revolutionized machine learning for classical computers: self-driving cars, language translation and even ...

Machine learning is helping create stronger, more efficient encryption methods. By analyzing huge amounts of data, ML can design encryption algorithms that are tougher to crack.

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

More information: Unifying multi-sample network inference from prior knowledge and omics data with CORNETO, Nature Machine Intelligence (2025). DOI: 10.1038/s42256-025-01069-9 ...

Discover the key differences between machine learning and generative AI. Learn how each technology works, their applications, and their impact on industries worldwide.

The work was supported by the Air Force Office of Scientific Research, the Office of Naval Research, and the US National Science Foundation. Most approaches to machine learning-based inverse design ...

GraphBNC: Machine Learning‐Aided Prediction of Interactions Between Metal Nanoclusters and Blood Proteins. Advanced Materials, 2024; DOI: 10.1002/adma.202407046 ...