Read more With global credit card fraud projected to cross $403 billion in the next decade, NVIDIA is stepping in with AI-powered backup. Unveiled at the Money20/20 financial conference, NVIDIA’s new ...

NVIDIA introduces a new AI blueprint to enhance fraud detection in financial services, leveraging advanced algorithms and accelerated computing to mitigate credit card fraud risks.

New AI model detects credit card fraud with 99% accuracy and zero black box The core problem tackled by this research is the opaque nature of many high-performing AI models used in fraud detection.

Mastercard's AI-powered fraud detection system uses risk-scoring and behavioral biometrics to help identify suspicious transactions.

The increasing digitalization of banking services has led to a surge in financial fraud, necessitating advanced detection systems.

This project tackles the problem of credit card fraud detection using machine learning techniques. Fraud detection is crucial in real-world financial systems, where even a small percentage of ...

A team of international researchers has unveiled a powerful new machine learning framework, “FraudX AI,” designed to detect credit card fraud with high precision on real-world, highly imbalanced ...

Dornadula, V.N. and Geetha, S. (2019) Credit Card Fraud Detection Using Machine Learning Algorithms. Procedia Computer Science, 165, 631-641.

Credit cards are replacing cash in shopping. With the increase in popularity of plastic money like credit cards, hackers are misusing this as an opportunity to commit fraud. In this research work, we ...