The dataset used was a widely known credit card fraud detection benchmark obtained from Kaggle. It is notoriously imbalanced, ...

Key predictive features included mood scores, game accuracy, and environmental variables like temperature and humidity. The system’s ability to identify risk factors dynamically allowed it to deliver ...

Digital finance is accelerating, and threats are evolving in complexity, outpacing traditional methods for detecting fraud.

Researchers found that lower lean muscle mass and higher intermuscular adipose tissue acted as imaging-visible markers that ...

The time is now to focus on AI infrastructure, which will enable companies to scale AI and build a future where humans and ...

This study highlights the potential of heart rate variability as an early indicator of gestational diabetes, facilitating ...

Artificial Intelligence (AI) systems are increasingly becoming tools of efficiency and innovation but they could also become instruments of unfairness and insecurity if left unchecked.

Ultra-processed foods (UPFs) contributed nearly half of daily energy intake among 8–12-year-old Australian children. In older ...

Objective To explore the association between biological rhythm and internalising disorders among children and adolescents. Design, setting and participants This cross-sectional study used data from ...

Although credit bureaus have collected this data for three years, it's only now being factored into assessments of consumer creditworthiness.

A credit score reflects payment habits, debt use, credit age, types and new applications. Understanding these factors can ...

FICO announced Monday that it will begin incorporating buy-now-pay-later data into new scoring models, marking the first time ...