Sticking to an exercise routine is a challenge many people face. But a research team is using machine learning to uncover what keeps individuals committed to their workouts.

The following is a summary of “Application of interpretable machine learning algorithm to predict lymph node metastasis in cutaneous malignant melanoma,” published in the April 2025 issue of ...

An automated machine-learning program developed by researchers from Edith Cowan University (ECU) in conjunction with the ...

They created a “periodic table” of over 20 classical machine-learning algorithms, showing how they are all connected through ...

Machine learning-powered security systems should be used as a tool, not as a replacement for security teams for web apps.

Sticking to an exercise routine is a challenge many people face. But a University of Mississippi research team is using machine learning to uncover what keeps individuals committed to their workouts.

A research team led by Prof. Mao Miaohua at the Yantai Institute of Coastal Zone Research of the Chinese Academy of Sciences, ...

After uncovering a unifying algorithm that links more than 20 common machine-learning approaches, MIT researchers organized ...

Genome editing has advanced at a rapid pace with promising results for treating genetic conditions -- but there is always room for improvement. A new paper showcases the power of scalable protein ...

Mariana Antaya built a machine learning model that correctly predicted three Formula 1 race winners, and she says the tool is ...

Artificial intelligence algorithms have now been combined with traditional laboratory methods to uncover promising drug leads against human enterovirus 71 (EV71), the pathogen behind most cases of ...