Researchers from the Department of Computer Science at Bar-Ilan University and from NVIDIA's AI research center in Israel have developed a new method that significantly improves how artificial ...

Extracting and analyzing relevant medical information from large-scale databases such as biobanks poses considerable challenges. To exploit such "big data," attempts have focused on large sampling ...

Objective To develop and validate an interpretable machine learning (ML)-based frailty risk prediction model that combines real-time health data with validated scale assessments for enhanced ...

This special report introduces small area estimation (SAE) as a modern approach for producing reliable, stand-level forest inventory information Small area estimation (SAE) is a set of statistical ...

Researchers at Google Cloud and UCLA have proposed a new reinforcement learning framework that significantly improves the ability of language models to learn very challenging multi-step reasoning ...

Background: Cardiovascular disease (CVD) is a global health concern. Traditional models often miss nonlinear dependencies among physiological and behavioral factors. Transformer-based deep learning ...

In the rapid development of vehicular networks, the exchange of information between vehicles and between vehicles and the infrastructure is becoming increasingly frequent. Vehicle location data have ...

Introduction People with a learning disability face significant health and mortality inequalities as well as wider systemic inequities. Challenges in palliative and end of life care (PEOLC) include ...

Missouri lawmakers have banned educators from leaning on a model of reading instruction called the “three-cueing” method as part of a bipartisan education package signed by Gov. Mike Kehoe on ...