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

Compared with the secondaries market’s largely bottom-up approach to pricing portfolios, Oliver Gottschalg, professor of ...

Joint research led by Sosuke Ito of the University of Tokyo has shown that nonequilibrium thermodynamics, a branch of physics ...

Researchers have found a way to make the chip design and manufacturing process much easier — by tapping into a hybrid blend of artificial intelligence and quantum computing.

A research team from Southern Medical University has developed a machine learning-based gene model that predicts whether ...

Machine-learning algorithms speed up the calculations and make them feasible—though theorists still have to use supercomputers to run them. Shanahan and collaborators recently demonstrated that ...

Researchers in China have developed a powerful machine learning model that can help determine which patients with nasopharyngeal carcinoma (NPC) are likely to respond well to radiotherapy-a common ...

In recent years, machine learning (ML) algorithms have proved themselves to be remarkably useful in helping people deal with different tasks: data classification and clustering, pattern revealing ...

By Paul McClure June 15, 2023 Researchers have developed a machine-learning model to identify chemicals that may combat aging Depositphotos View 1 Images ...

Machine learning algorithms build a model based on sample data, known as training data, in order to make predictions or decisions without being explicitly programmed to do so.