A machine learning model predicted cardiac tamponade during AF ablation with high accuracy. Learn how XGBoost may improve ...

Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known Heston option pricing model as a benchmark, researchers show that global ...

Current models of mortality risk after heart failure (HF) rely primarily on cardiac-specific clinical variables and may ...

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...

Microsoft doesn't sit still for many years between major OS versions, and Windows 11 is already approaching its fifth year of existence. Here's what Windows 12 might look like, based on leaked code, ...

The future belongs to organizations that fuse exponential technology with exponential human learning grounded in a deep ...

Brain-Computer Interfaces (BCIs) are emerging as transformative tools that enable direct communication between the human brain and external devices. With recent advancements in Electroencephalography ...

Researchers at the University of Maryland and Tilburg University in the Netherlands have produced an AI-driven innovation to ...

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...

A team of UCSF researchers successfully tested several mainstream AI agents for the ability to analyze big data on women's ...

Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...

To his credit, Kasy is a realist here. He doesn’t presume that any of these proposals will be easy to implement. Or that it will happen overnight, or even in the near future. The troubling question at ...