Today, we live in a digital world where online transactions have made it increasingly easy for cyber crimes, more so fraud, ...

Multiparametric magnetic resonance imaging (MRI)-based machine learning techniques have the potential to identify B-cell lymphoma-6 (BCL-6) overexpression in patients with primary central nervous ...

RADS, and deep learning (DL) radiomics can significantly enhance the accuracy of ovarian cancer diagnosis according to recent ...

Since its inception in 1978, in vitro fertilization (IVF) has provided a pathway to parenthood for millions, with over 8 ...

This study leverages multimodal machine learning to predict moments of negative experience ... Our best models achieved an ROC-AUC of up to 0.87 on hold-out videoconference sessions, with ...

Abstract: Cross-validation is commonly used to estimate machine learning model performance on new samples ... Selecting the early stopping point during cross-validation can result in ROC-AUC estimates ...

With different names surrounding AI, let's identify what each one actually does to maximize efficiencies and provide better ...

AI is consuming more energy than ever, with data centers struggling to keep up with demand. A breakthrough training method ...

Microsoft is expanding functionality for agentic AI into its Azure AI Foundry platform, furthering one of the hottest areas ...

Adrian College and Siena Heights University are exploring new courses and new ways of teaching as artificial intelligence ...

What do you wonder? By The Learning Network New York City legalized it last year. Should other cities follow suit? Or is it too dangerous? By The Learning Network We invite students to explain ...