WASHINGTON/HONG KONG, Dec 19 (Reuters) - TikTok's Chinese owner, ByteDance, on Thursday signed binding agreements to hand control of the short video app's U.S. operations to a group of investors, ...

Abstract: Hierarchical density based spatial clustering is a state-of-the-art clustering algorithm that is widely used by the research community for the analysis of spatial data. This popularity is in ...

To better understand which social media platforms Americans use, Pew Research Center surveyed 5,022 U.S. adults from Feb. 5 to June 18, 2025. SSRS conducted this National Public Opinion Reference ...

In just a few years, TikTok has gone from a niche lip-syncing app to one of the most powerful social media platforms in the world. From viral dance routines to comedic skits, food hacks, and global ...

Taking a page from the private insurance industry’s playbook, the Trump administration will launch a program next year to find out how much money an artificial intelligence algorithm could save the ...

A potential TikTok deal emerged Monday between the US and China, two days before the Trump administration's latest sell or be banned deadline. Now, attention is shifting to the app's Chinese algorithm ...

The US version of TikTok will reportedly still use the Chinese algorithm, but the American investors will have control over it. The latest report comes just a day after a deal with the US and China ...

This project applies hierarchical clustering to group local authorities in England based on case closure reasons from the Children in Need Census (2013–2024). It supports benchmarking, policy ...

Many modern clustering methods scale well to a large number of data items, N, but not to a large number of clusters, K. This paper introduces PERCH, a new non-greedy algorithm for online hierarchical ...

Dana Heitz reviews a criminal case out of Arizona involving AI-generated evidence. She sets out some ethical considerations for its future use—an issue of interest to attorneys and courts in New York, ...

Abstract: Image segmentation is the way of splitting digital data into subgroups known as image segments, which reduces the entire image's complexity and allows for further processing or image ...