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

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.

Understanding molecular diversity is fundamental to biomedical research and diagnostics, but existing analytical tools struggle to distinguish subtle variations in the structure or composition among ...

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

Managing a power grid is like trying to solve an enormous puzzle. Grid operators must ensure the proper amount of power is ...

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 ...

High-precision GNSS applications, such as real-time displacement monitoring and vehicle navigation, rely heavily on resolving carrier-phase ambiguities. However, traditional methods like the R-ratio ...

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 ...

Dive deep into the Muon Optimizer and learn how it enhances dense linear layers using the Newton-Schulz method combined with ...