In a future perhaps not too far away, artificial intelligence and its subfield of machine learning (ML) tools and models, ...

A machine learning model analyzing CpG-based DNA methylation accurately predicted the origin of many different cancer types ...

The field of intelligent energy systems has witnessed a remarkable transformation owing to innovations in machine learning. Over the past few decades, the ...

Machine learning (ML) is a rapidly evolving discipline that enables computers to acquire knowledge from data without being explicitly programmed. By leveraging algorithms capable of recognising ...

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. Sticking to an exercise ...

Machine learning has moved past its initial experimental phase. In earlier years, development often focused on creating the largest possible models to see what capabilities might appear. Today, the ...

Head and neck cancers represent a biologically heterogeneous group of malignancies requiring accurate diagnosis, staging, and risk stratification for ...

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 ...

The U.S. Army is working with university researchers to solve one of the hardest problems in autonomous driving: getting ...

A new study published in Genome Research presents an interpretable artificial intelligence framework that improves both the accuracy and transparency of genomic prediction, a key challenge in fields ...

What if auditors could predict when errors are more likely to occur in financial reporting? Instead of simply improving techniques for detecting errors, they could focus on how to stop them from ...