Unsupervised learning is a powerful type of machine learning where algorithms analyse and find patterns in data without any human intervention or prior knowledge of categories. Unlike supervised ...

In the world of machine learning, algorithms thrive on unsupervised data. They analyze large volumes of information without explicit labels, and yet still manage to learn useful patterns. This success ...

A research team has developed a powerful computational tool—the Algorithmic Root Trait (ART) extraction method—that can “see” beyond human perception to uncover hidden features in plant roots.

Sunkanmi Oluwadare, an experienced cybersecurity researcher at the University of Cincinnati, is leading groundbreaking research in Intrusion Detection Systems (IDS). His work focuses on unsupervised ...