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

Sophisticated algorithms whose inner workings can be opaque make these predictions, so the lack of an uncertainty measure becomes an even greater problem when machine learning is involved.

A research team used flowering data from 169 rice genotypes—each with over 700,000 SNP markers—across multiple environments ...

For the study, the researchers used a combination of statistical methods and machine learning algorithms to help predict the most efficient times of day that photovoltaic (PV) power generation will ...

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

Sophisticated algorithms whose inner workings can be opaque make these predictions, so the lack of an uncertainty measure becomes an even greater problem when machine learning is involved.

Quantum machine learning algorithms can process more complex datasets in a shorter time, enhancing both the speed of model training and the accuracy of predictions.