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 ...

The language used to describe conflicts naturally reflects assumptions about how different forms of violence emerge and develop. "For instance, we ...

This column focuses on open-weight models from China, Liquid Foundation Models, performant lean models, and a Titan from ...

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

A novel AI method inspired by the Sabarimala Yatra enhances problem-solving in science and medicine. Discover its ...

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 ...