Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational ...

Antimicrobial resistance (AMR) is an increasingly dangerous problem affecting global health. In 2019 alone, ...

Jessica Lin and Zhenqi (Pete) Shi from Genentech describe a novel machine learning approach to predicting retention times for ...

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, ...

Craif Inc. in Nagoya, Japan, working with Nagoya University's Institute of Innovation for Future Society, has developed a ...

We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.

Balance training patients may soon be able to get AI feedback during home exercises, with four wearable sensors and a new ...

This issue of The Journal of Risk Model Validation features two papers that directly address validation using machine learning. Whether their findings imply we will all (including the editor) become ...

From SOCs to smart cameras, AI-driven systems are transforming security from a reactive to a predictive approach. This ...

A generalizable ML framework predicts protein interactions with ligand-stabilized gold nanoclusters, supporting faster design ...