By studying large language models as if they were living things instead of computer programs, scientists are discovering some ...

Abstract: This article presents the design and implementation of a generic model for fault diagnosis in electrical distribution networks, based on the Support Vector Machine (SVM) algorithm. The ...

Early-2026 explainer reframes transformer attention: tokenized text becomes Q/K/V self-attention maps, not linear prediction.

O n Tuesday, researchers at Stanford and Yale revealed something that AI companies would prefer to keep hidden. Four popular ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

WORK Medical Technology Group LTD (Nasdaq: WOK) ("WORK Medical", the "Company" or "we"), a supplier of medical devices in China, through its subsidiary ...

Pursuant to the Agreement, Hunan Saitumofei has granted Shanghai Benke exclusive distribution rights for the Analyzer in East China, covering Jiangsu Province, Shanghai Municipality, and Zhejiang ...

A research paper by scientists from Beihang University proposed a machine learning (ML)-driven cerebral blood flow (CBF) prediction model, featuring multimodal imaging data integration and an ...

This article appears in the December 2025 issue of The American Prospect magazine. Subscribe here. Earlier this year, a slightly balding man in spectacles, a black T-shirt, and bright high-top ...

Introduction: Accurately determining the bottom boundary of anti-seepage curtains is critical for ensuring the integrity and performance of this key engineered composite structure in karst reservoirs.

Music recommendation algorithms were supposed to help us cut through the noise, but they just served us up slop. If you buy something from a Verge link, Vox Media may earn a commission. See our ...

This project demonstrates the application of various machine learning algorithms for heart disease classification. By comparing the performance of SVM, MLP, and Random Forest models, we can determine ...