ARLINGTON, Texas -- Miami just made an example out of Ohio State by flipping a script that was almost 25 years in the making. The Buckeyes once used a bowl game against Miami to not only win a trophy ...

The deal paves the way for TikTok to escape legal peril months after a U.S. ban. Social media giant TikTok struck an agreement to put its U.S. operations under the majority control of U.S. investors, ...

Dr. James McCaffrey presents a complete end-to-end demonstration of anomaly detection using k-means data clustering, implemented with JavaScript. Compared to other anomaly detection techniques, ...

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.

Rachel Feltman: For Scientific American’s Science Quickly, I’m Rachel Feltman. TikTok’s algorithm, which shapes what more than a billion users see, has developed an almost mystical reputation for ...

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 ...

The funds in most U.S. retirement accounts are pretty basic - stocks and bonds. But what about investing in all kinds of other stuff? That's the idea behind a recent executive order signed by ...

President Trump signed executive order on Thursday aimed at allowing investors greater access to alternative assets to 401(k) plans. Private market assets bring diversification to investment ...

Classification of gas wells is an important part of optimizing development strategies and increasing the recovery. The original classification standard of gas wells in the Sulige gas field has weak ...

ABSTRACT: Clustering is an unsupervised machine learning technique used to organize unlabeled data into groups based on similarity. This paper applies the K-means and Fuzzy C-means clustering ...

Clustering is an unsupervised machine learning technique used to organize unlabeled data into groups based on similarity. This paper applies the K-means and Fuzzy C-means clustering algorithms to a ...