Two broad categories of machine learning models are clustering (unsupervised learning) and classification (supervised learning). Each of these has its pros and cons and, predominantly, the advertising ...

Imagine walking into a factory where machines can think ahead, predict problems before it happens, and automatically make adjustments to realise peak performance. By Johan Potgieter, cluster ...

A research team has developed a powerful computational tool—the Algorithmic Root Trait (ART) extraction method—that can “see” ...

Deep learning shows a lot of promise in healthcare, especially in medical imaging, where it can help improve the speed and accuracy of diagnosing patient conditions. But it also faces a serious ...

Despite rapid advances, the study highlights significant geographical and thematic imbalances in current research. Nearly half of the reviewed studies were conducted in China, while other critical ...