Abstract: A general problem in multi-node systems is data synchronization, where the most used method uses synchronous data updating. All changes made by the user are immediately reflected in the data ...

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

The popular short form video app has a new corporate structure in the United States, which could result in some changes for the 200 million Americans who use TikTok. By Emmett Lindner TikTok has new ...

Dr. Kasy is the author of the book “The Means of Prediction: How AI Really Works (and Who Benefits).” Imagine applying for a job. You know you’re a strong candidate with a standout résumé. But you don ...

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

Welcome to the Data Structures and Algorithms Repository! My aim for this project is to serve as a comprehensive collection of problems and solutions implemented in Python, aimed at mastering ...

Video surveillance is crucial for various applications, including unmanned aerial vehicle operations, flight safety monitoring, social security management, industrial safety, and criminal detection.

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 ...

Abstract: In this work, we focus on solving non-smooth non-convex maximization problems in multi-group multicast transmission. By leveraging Karush-Kuhn-Tucker (KKT) optimality conditions, we ...