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

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

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

A new study shows that machine-learning models can accurately predict daily crop transpiration using direct plant ...

The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...

A new machine learning approach developed through an international collaboration between Polytechnic University of Milan and Drexel University could help architects and urban planners better predict ...

Scholars analyze how the use of machine learning could reshape EPA drinking water standards.

Understanding how ozone behaves indoors is vital for assessing human health risks, as people spend most of their time inside.

According to a new study, machine learning can reliably identify patients at high risk of early dysphagia following acute ...

More aggressive feature scaling and increasingly complex transistor structures are driving a steady increase in process complexity, increasing the risk that a specified pattern may not be ...