This study reveals how machine learning models uncover new genetic variants linked to Alzheimer’s, advancing predictive ...

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

EMBL-EBI scientists and collaborators at Heidelberg University have developed CORNETO, a new computational tool that uses ...

Students gave their consent that their stories could be used for research purposes and might be published. Out of a class of ...

What began as a Ph.D. project has grown into a website with 120,000 unique visitors each year. With the platform OpenML, ...

The Recentive decision exemplifies the Federal Circuit’s skepticism toward claims that dress up longstanding business problems in machine-learning garb, while the USPTO’s examples confirm that ...

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

Researchers employed a machine learning technique known as random forest analysis and found that it significantly outperformed traditional methods in predicting which hospitalized patients with ...

For the first time, large language models performed on a par with gold medallists in the International Mathematical Olympiad.

This important study uses data on over 56 million articles to examine the dynamics of interdisciplinarity and international collaborations in research journals. The data analytics used to quantify ...

Are today’s elected leaders incapable of addressing public problems in a serious, respectful, bipartisan manner? If your answer is yes, I’ll concede that you have a strong case. Congress just ...