Artificial Intelligence (AI) has become a buzzword in today’s tech-driven world, promising new possibilities and reshaping industries. Despite its prevalence, ...

Now, Windows 11 25H2 will begin automatically installing on "most eligible PCs," but only non-enterprise hardware.

Our bodies are made up of around 75 billion cells. But what function does each individual cell perform and how greatly do a healthy person's cells differ from those of someone with a disease? To draw ...

A key challenge lies in balancing patient privacy with the opportunity to improve future outcomes when training artificial intelligence (AI) models for applications such as medical diagnosis 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 ...

Our eLibrary offers over 25,000 IMF publications in multiple formats. This study applies state-of-the-art machine learning (ML) techniques to forecast IMF-supported programs, analyzes the ML ...

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance metrics do not capture it. Consequently, a model might offer sufficient ...

AI is not limited to diagnostics or imaging. It also plays a transformative role in biomedical research, computational ...

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...

Machine learning has been a fundamental part of the marketing automation process for some years now and is only going to explode in terms of scope and importance over the coming decade. But as the ...