Machine learning (ML) is a subset of artificial intelligence (AI) that involves using algorithms and statistical models to enable computer systems to learn from data and improve performance on a ...

When you listen to quantum enthusiasts, you may feel tempted to treat QML as an emerging silver bullet, which it isn’t.

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

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.

Professor Toshiaki Taniike’s lab – Laboratory of Materials Informatics, is pioneering a new era of materials discovery by ...

A data-driven framework for highway design uses machine learning to improve decision-making by analyzing terrain, weather, and traffic in real time. This adaptive system enables smarter, safer, and ...

U.S. Department of Energy's (DOE) Argonne National Laboratory is helping researchers explore novel ways to design aeroplanes ...

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 ...

They also found that their machine learning model correctly predicted the behavior of the proteins in macaque monkeys even though it was trained only on mouse and human cell data.