AI tools can help candidates answer interview questions, pass online exams, and earn professional certifications, raising new ...

For as long as there have been tests in schools, students have found ways to cheat, whether its peeking over a classmate’s shoulder or scribbling notes on a palm or crib sheet.

Medical artificial intelligence (AI) faces a fundamental challenge: uncertainty quantification. Artificial neural networks ...

Researchers have developed a new "emotionally aware" AI-based model for classifying mental health conditions, which could ...

Ocula360, an AI-based tool for diabetic retinopathy lesion detection, showed efficacy in detecting DR across multiple levels ...

A three-stage pipeline progressed from slit-lamp image training to smartphone optimization and public self-capture, incorporating human-computer interface refinements and preprocessing to improve real ...

Background and Purpose The limited walking ability that follows a stroke restricts the patient’s independent mobility about the home and community, a significant social handicap. To improve the ...

Abstract: Motorimagery EEG classification plays a crucial role in non-invasive Brain-Computer Interface (BCI) research. However, the performance of classification is affected by the non-stationarity ...

Researchers created tiny 3D photonic devices with features small enough to channel visible light. (Nanowerk News) Using a new technique that can create vacancies at any site across a material and then ...

Abstract: In the diagnosis of preinvasive breast cancer, some of the intraductal proliferations pose a special challenge. The continuum of intraductal breast lesions includes the usual ductal ...

NeuralClassifier is designed for quick implementation of neural models for hierarchical multi-label classification task, which is more challenging and common in real-world scenarios. A salient feature ...