Unsupervised learning is a branch of machine learning that focuses on analyzing unlabeled data to uncover hidden patterns, structures, and relationships. Unlike supervised learning, which requires pre ...

Cite as: {Henkel, M., Sprenger, M., and Lieleg, O., Machine learning for small data sets: an exemplary study on the classification of highly complex surface micromorphologies, unpublished work} The ...

(TNS) — Americans have done a shoddy job of teaching reading and math to the majority of our students. Our scores, when compared to other nations — most with fewer resources — are plummeting. As a ...

Mr. Means quietly departed his federal role about a month ago. His sister has been nominated for surgeon general. By Benjamin Mueller Calley Means, an influential adviser to Health Secretary Robert F.

Wall Street continues to break records while signs of stress mount for everyday Americans, underscoring the K-shaped nature of the U.S. economy—where the top climbs higher while the bottom stagnates ...

Objectives: This study aims to investigate the efficacy of unsupervised machine learning algorithms, specifically the Gaussian Mixture Model (GMM), K-means clustering, and Otsu automatic threshold ...

Traditional cardiovascular risk assessment entails investigator‐defined exposure levels and individual risk markers in multivariable analysis. We sought to determine whether an alternative unbiased ...

VAIL, Ariz. (KVOA) - While many schools in the Vail District reopened, Saguaro Creek K-8 School opened its doors to students for the very first time. The school welcomed over 420 students on its ...

Amsterdam’s struggles with its welfare fraud algorithm show us the stakes of deploying AI in situations that directly affect human lives. What Amsterdam’s welfare fraud algorithm taught me about fair ...