Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

TikTok has seen a sharp uptick in users removing the app since the company revealed plans to place its U.S. operations under ...

Dr Gulzar Singh explains how algorithmic decision-making in banks has outpaced the institutional structures designed to govern accountability, oversight, and escalation ...

(GLOBE NEWSWIRE) -- 41caijing.com, China's first AI PR service provider, today announced the launch of its AI-native PR and GEO communication infrastructure designed for Chinese brands expanding into ...

Is TikTok safer to use now that its U.S. operation is moving under an American ownership group? Kurt "CyberGuy" Knutsson ...

I'll explore data-related challenges, the increasing importance of a robust data strategy and considerations for businesses ...

What users are exposed to is rivalry around pricing and marketing, but some of the most intense competition is over data and ...

A new peer-reviewed study published in the journal Algorithms signals a major shift in how humanitarian logistics can be ...

Introduction: In unsupervised learning, data clustering is essential. However, many current algorithms have issues like early convergence, inadequate local search capabilities, and trouble processing ...

If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine-learning model might think it is a new data point. In computer science ...

NEW YORK, July 9 (Reuters) - TikTok is preparing to launch a standalone app for U.S. users that is expected to operate on a separate algorithm and data system from its global app, laying the ...