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

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.

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 machine learning model developed to predict 5-year survival in stage III colorectal cancer patients highlights key ...

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.

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

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