A multinational collaboration at Eitri medical innovation center in Bergen, Norway, has used machine learning models to identify patient groups at risk of being mistreated.

There are over 100 invasive plant species in Connecticut wreaking havoc on the state’s forests and waterways, but new technology may help ensure new species never get a chance to invade in the first ...

Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals ...

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, ...

Researchers at the School of Engineering and Applied Sciences have developed a wearable sensor system capable of estimating ...

Researchers at University of Tsukuba have developed a technology for real-time estimation of the valence state and growth rate of iron oxide thin films during their formation. This novel technology ...

Kernel methods represent a cornerstone in modern machine learning, enabling algorithms to efficiently derive non-linear patterns by implicitly mapping data into high‐dimensional feature spaces. At the ...

Understanding molecular diversity is fundamental to biomedical research and diagnostics, but existing analytical tools ...

Machine learning is expanding scientists’ catalogs of quakes and refining maps of underground faults. It also promises to ...

Data analytics and predictive modeling have helped the company cut inventory levels in half in the last two years, President ...