QA teams now use machine learning to analyze past test data and code changes to predict which tests will fail before they run. The technology examines patterns from previous test runs, code commits, ...

A recent study on the development and validation of an AI-based framework for first-trimester preeclampsia risk assessment ...

Despite major advances in genetic testing for breast cancer risk prediction, death rates remain disproportionately high among ...

Predictive analytics transforms your historical marketing data into powerful insights about what will happen next: whether that's identifying which customers are likely to make a purchase, identifying ...

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a simple sequence of words, but as a complex web of non-linear relationships.

Behavioral information from an Apple Watch, such as physical activity, cardiovascular fitness, and mobility metrics, may be more useful for determining a person's health state than just raw sensor ...

Introduction: Moving Beyond Predictive Accuracy  Prediction has been traditionally the backbone of applied data science. From ...

In the ever-evolving world of sports analytics, cycling stands on the brink of a data-driven revolution. By leveraging innovative data models, inspired by diverse industries, new opportunities for ...