Published as an arXiv preprint, the paper details how unsupervised and self-supervised AI models are matching or surpassing ...

Background Patients with heart failure (HF) frequently suffer from undetected declines in cardiorespiratory fitness (CRF), which significantly increases their risk of poor outcomes. However, current ...

Scientists at Rice University have produced the first full, dye-free molecular atlas of an Alzheimer’s brain. By combining ...

Researchers at the University of Bayreuth have developed a method using artificial intelligence that can significantly speed up the calculation of liquid properties. The AI approach predicts the ...

Creating a kitchen organization system in your pantry can be tricky. You want to establish some order so that every item has a proper place and is easy to find. However, you also don't want to be ...

This work presents a novel, label-agnostic, multi-objective feature selection framework for high-dimensional biomedical data. The method jointly optimizes two intrinsic properties: distributional ...

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 ...

Lizélle Pretorius received funding from UNISA as part of a bursary when completing her PhD. She is currently a member of ISATT (International Study Association of Teachers and Teaching) and the Junior ...

Abstract: Unsupervised visible–infrared person reidentification (UVI-ReID) has recently gained great attention due to its potential for enhancing human detection in diverse environments without ...

Method-of-treatment (“MoT”) claims can be powerful tools for pharmaceutical companies seeking to extend market exclusivity for their products after the original composition-of-matter patents expire.