The institute and Roar serve as a major resource to the high-performance computing (HPC) and big data research community within the University,” said Guido Cervone, ICDS director. “ICDS aims to ...

The analysis highlights a mixed performance record for predictive models, with significant variability depending on the ...

Background Machine learning based on clinical characteristics has the potential to predict coronary CT angiography (CCTA) findings and help guide resource utilisation.Methods From the SCOT-HEART ...

This issue has now been addressed. Li Hang's newly launched book 'Machine Learning Methods (2nd Edition)' dedicates a chapter ...

One of the most significant benefits software teams realize when they leverage AI in the software development life cycle ...

Just like medicine helps the human body, electrolyte additives act as medicine for batteries, improving their efficiency and ...

Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...