Vladimir Zakharov explains how DataFrames serve as a vital tool for data-oriented programming in the Java ecosystem. By ...

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

The White House has answered what had been one of the major outstanding questions regarding its pending deal to transfer TikTok’s US operations to a majority American ownership group: Under the ...

Engineering fundamentals aren’t just for computer science students. They pay huge dividends in both your systems’ service levels and your company’s balance sheet. As an industry, we’ve gotten good at ...

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 ...

Curious from birth, Fiona is a music writer, researcher, and cultural theorist based in the UK. She studied her Bachelor of Music in London, specializing in audiovisual practices, and progressed to a ...

Abstract: This innovative practice full paper describes how to integrate generative Artificial Intelligence (AI) with Data Structures and Algorithm Analysis (CS2) homework at Oklahoma State University ...

The original version of this story appeared in Quanta Magazine. Computer scientists often deal with abstract problems that are hard to comprehend, but an exciting new algorithm matters to anyone who ...

Abstract: In the analysis of audit data, algorithm optimization and fraud feature mining are important means to improve audit efficiency and accuracy. In this paper, an improved K-means clustering ...