Common applications of unsupervised learning include customer segmentation, anomaly detection, data compression, and organising large datasets for better understanding.

A new study finds that many popular image datasets used to train AI models are contaminated with test images or ...

Our experts reviewed the data to understand trends on identity theft, credit card fraud, and data breaches. Check out the latest in this in-depth report.

A team of Johns Hopkins engineers has developed a new, more powerful method to observe molecular vibrations, an advance that could have far-reaching implications for early disease detection ...