Machine learning (ML) and deep learning (DL) as two well-known methods of artificial intelligence (AI) have emerged as powerful tools in extracting insights and patterns from vast amounts of data. In ...

For a project in Bangladesh, Prof. Mushfiq Mobarak and his team used machine-learning models applied to mobile phone records ...

Across the University of Pennsylvania Health System, scientists are now using AI to enhance their understanding of biological systems and modern medicine.

Introduction Maternal and child mortality has markedly decreased worldwide over the past few decades. Despite this success, the decline remains unequal across countries and is overall insufficient to ...

A team of researchers from the University of Chicago's Pritzker School of Molecular Engineering (UChicago PME) has used ...

Dr Michele Orini shares how machine learning can help identify critical VT ablation targets for a safer, data-driven ...

The inversion of the one-dimensional wave spectrum from dual-polarized synthetic aperture radar (SAR) data is performed using machine learning methods, namely Random Forest (RF), eXtreme Gradient ...

Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...

With Qubitra, they intend to drive practical value by applying quantum approaches to some of the finance sector’s most ...

Abstract: The widespread use of the internet has led to frequent cryptographic attack event incidents, which pose various risks, including the leakage of personal information, privacy data, identity ...

A lab at the University of Idaho will use a Department of Defense grant to develop machine learning models that might be able ...

A University of Idaho lab received $1.3 million from the Department of Defense to study early detection methods for ...