With the rapid advancements in computer technology and bioinformatics, the prediction of protein-ligand binding sites has ...

Understanding the properties of different materials is an important step in material design. X-ray absorption spectroscopy ...

A research team led by NIMS has, for the first time, produced nanoscale images of two key features in an ultra-thin material: ...

The global demand for Explainable AI (XAI) is accelerating as organizations seek greater transparency and accountability in artificial intelligence systems used across critical industries. According ...

IOP Publishing’s Machine Learning series is the world’s first open-access journal series dedicated to the application and ...

In an era where insurance fraud drains billions from the global economy annually, a groundbreaking study by researchers ...

Machine Learning (ML) algorithms have revolutionized various domains by enabling data-driven decision-making and automation.

When Hurricane Melissa spun up unexpectedly in the Atlantic earlier this month, traditional forecasting models were caught off guard by its rapid intensification. Yet weather models using artificial ...

A research team has developed a powerful computational tool—the Algorithmic Root Trait (ART) extraction method—that can “see” beyond human perception to uncover hidden features in plant roots.

From Localized Systems to Global Ecosystems: Supply chains are now digitally interconnected. Cloud platforms enable ...

Harvard and Northwestern researchers combine AI and physics to design unstable proteins that comprise the dark proteome.