If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine ...

One of the shared, fundamental goals of most chemistry researchers is the need to predict a molecule's properties, such as ...

Researchers have found a way to make the chip design and manufacturing process much easier — by tapping into a hybrid blend ...

A new study presents a machine learning model that accurately predicts the compressive strength of high-strength concrete, ...

Wastewater treatment plants (WWTPs) are inherently complex, with nonlinear processes that are challenging to analyze and ...

Researchers in China used machine learning to create diagnostic and prognostic models to aid in identifying idiopathic ...

The disease is known for its strong association with climatic variables, especially excessive rainfall, high humidity, and ...

Machine learning accelerates catalyst discovery by combining theory, AI, and experiments to identify efficient materials for sustainable energy applications.

Compared with the secondaries market’s largely bottom-up approach to pricing portfolios, Oliver Gottschalg, professor of ...

Findings from a new study published in Annals of Family Medicine show that a machine learning model accurately predicts ...