An interatomic potential is a set of mathematical rules that describes the complex dance of forces between atoms — how atomic ...

Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...

A team of researchers from the University of Chicago's Pritzker School of Molecular Engineering (UChicago PME) has used Quantum Machine Learning (QML) to identify cancer early.

We’re honored to welcome Tom and Ram to our advisory board. Their combined insights, from standards in verification and ...

By leveraging AI/ML-driven modeling, Keysight enables semiconductor companies to accelerate innovation, reduce development ...

Keysight Technologies has launched a new Machine Learning Toolkit within its Device Modelling Software Suite, designed to ...

One of the primary challenges with prosthetic hands is the ability to properly tune the appropriate grip based on the object ...

In the domain of metamaterials, the push toward automated design has been accelerated by advances in generative machine learning. The advent of deep ...

Keysight Technologies has introduced a new Machine Learning Toolkit as part of its latest Device Modelling Software Suite, aiming to reduce the time required for semiconductor device modelling and ...

The ice in a domestic freezer is remarkably different from the single crystals that form in snow clouds, or even those formed ...

As climate extremes intensify across Africa, the need for accurate and timely weather prediction has become increasingly ...

Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...