U.S. Army Gen. James J. Mingus speaks with soldiers assigned to the Artificial Intelligence Integration Center, July 2024. (Spc. Rebeca Soria/Army) The Army on Tuesday announced that it is standing up ...

The third-ranking leader in the House of Representatives, who also happens to hail from Minnesota, demanded answers from Gov. Tim Walz after a YouTuber tried to confront employees of an alleged ...

Machine learning requires humans to manually label features while deep learning automatically learns features directly from raw data. ML uses traditional algorithms like decision tress, SVM, etc., ...

Abstract: This study addresses critical challenges in small target building extraction from high-resolution remote sensing imagery, particularly instance separation difficulties and boundary precision ...

1 School of Taxation and Public Administration, Shanghai Lixin University of Accounting and Finance, Shanghai, China. 2 School of Business, Computing and Social Sciences, University of Gloucestershire ...

We begin this tutorial to demonstrate how to harness TPOT to automate and optimize machine learning pipelines practically. By working directly in Google Colab, we ensure the setup is lightweight, ...

Shanghai, August 21, 2025 — Nuclear energy is widely recognized as one of the most promising clean energy sources for the future, but its safe and efficient use depends critically on the development ...

1 South African Medical Research Council/University of Johannesburg Pan African Centre for Epidemics Research Extramural Unit, Faculty of Health Sciences, University of Johannesburg, Johannesburg, ...

Abstract: Extracting 3-D building information from monocular satellite sensor imagery remains a formidable challenge in the field of remote sensing. Multitask frameworks based on deep learning, which ...

Objective: This study aims to develop a machine learning (ML) model that integrates computed tomography (CT) radiomics with clinical features to predict the progression of pulmonary interstitial ...