The strategic advantage of QML continues to expand its presence in industries that deal with complex, high-dimensional data.

Semiconductor processing is notoriously challenging. It is one of the most intricate feats of modern engineering due to the ...

So now, suddenly, when faced with terms like “hyperparameter tuning” and “unsupervised learning,” a 50-year-old brain initiates its own version of a denial-of-service attack in these courses.

Magnetic materials are in high demand. They're essential to the energy storage innovations on which electrification depends ...

Density functional theory is a widely used computer-based quantum mechanical method for calculating properties of atoms, molecules, and materials.

In recent years, the development of advanced driving assistance systems (ADAS) has grown significantly within the transportation industry to assist drivers for making safe maneuvers. A major component ...

Some of the most encouraging results for reaction-enhancing catalysts come from one material in particular: tin (Sn). While ...

I am a computational biologist interested in interpretable machine learning for genomics and health care. Interpretable ...

LCGC International interviewed Bob Pirok from the University of Amsterdam, Netherlands to discuss strategies for enhancing ...

A learning algorithm is a mathematical framework or procedure that calculates the best output given a particular set of data. It does this by updating the calculation based on the difference ...