This study compares the quality of English-to-Arabic translations produced by Google Translate (GT) with those generated by student translators. Despite advancements in neural machine translation ...

Furthermore, the XGB model demonstrated the most accurate calibration across all prediction windows, with values of 0.129, 0.136, 0.144, and 0.148, respectively. Additionally, decision curve analysis ...

Background: To establish a classification model for assisting the diagnosis of type 2 diabetes mellitus (T2DM) complicated with coronary heart disease (CHD). Methods: Patients with T2DM who underwent ...

A new AI model created by researchers at Brown can generate motion in all kinds of robots and animated figures — humanoids, quadrupeds and more — from simple text commands. PROVIDENCE, R.I. [Brown ...

Welcome to the official repository for MT-R1-Zero, the first open-source adaptation of the R1-Zero Reinforcement Learning (RL) paradigm for Machine Translation (MT). MT-R1-Zero achieves highly ...

Swiss-based language services provider Supertext has presented its top tips and recommendations for companies to reposition their language services to AI-first models at SlatorCon Remote on March 18, ...

1 Department of Business Information System, Central Michigan University, Mount Pleasant, MI, USA. 2 Department of MPH, Central Michigan University, Mount Pleasant, MI, USA. 3 Department of ...

Conclusions: The model described in this study is the first multicenter-validated AKI prediction model that accurately predicts CAP-AKI during hospitalization. The web-based prediction platform ...

Abstract: In Nigeria, Yoruba is a predominant language among over 500 spoken languages. Despite its importance, Yoruba is classified as a low-resourced language, lacking the extensive datasets and ...