A Navy seafloor scanning operation has reportedly helped researchers zero in on a shipwreck believed to be roughly 500 years ...

New CDN platform combines predictive traffic optimization, real-time threat detection, and edge computing in a unified ...

A machine learning model can predict hepatocellular carcinoma (HCC) risk using routinely available data, according to a study ...

Abstract: Auto insurance claim fraud has become increasingly prevalent in recent years posing a significant challenge for the auto insurance industry. To address this issue there is a growing need for ...

Abstract: Cardiovascular Diseases (CVD) remain the leading cause of death worldwide, posing a significant challenge to global health systems. Early identification ofi ndividuals a tr isk is crucial ...

This project implements a comprehensive ML pipeline to predict sepsis risk using clinical indicators. It provides both a command-line training interface and a web-based prediction interface for ...

Discover how AI healthcare technology and machine learning diagnosis are transforming disease detection, improving accuracy, and reshaping patient care in today’s evolving medical landscape. Pixabay, ...

Febraury 10, 2026—Phishing websites remain a persistent cybersecurity threat, exploiting users by imitating trusted online services. New machine-learning tools could help organisations flag more ...

AI is the broad goal of creating intelligent systems, no matter what technique is used. In comparison, Machine Learning is a specific technique to train intelligent systems by teaching models to learn ...

Metabolic dysfunction-associated fatty liver disease (MAFLD) is a complex metabolic disorder and one of the leading causes of chronic liver disease worldwide. Current diagnostic tools, such as ...