Fraud is a growing problem in the fintech ecosystem, with many firms suggesting that activity is on the rise. Is artificial ...
Abstract: The rapid adoption of Unified Payments Interface (UPI) systems has revolutionized digital transactions in India, but has also led to an increase in fraudulent activities targeting ...
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How betting platforms use machine learning for fraud detection
Fraud remains one of the biggest challenges for betting platforms. This article explains how machine learning helps spot ...
A new family of Android click-fraud trojans leverages TensorFlow machine learning models to automatically detect and interact with specific advertisement elements.
ABSTRACT: Improved accuracy in predicting corporate financial fraud significantly enhances regulatory efficiency and market stability. However, detecting increasingly sophisticated fraud patterns ...
Amirali Aghazadeh receives funding from Georgia Tech. When NASA scientists opened the sample return canister from the OSIRIS-REx asteroid sample mission in late 2023, they found something astonishing.
Fraud detection is no longer enough to protect today’s financial ecosystem. As digital transactions increase in volume and complexity, banks require intelligent systems that can assess risk with ...
Advanced fraud detection system using machine learning to identify fraudulent transactions and activities. This project implements multiple machine learning algorithms including Random Forest, XGBoost ...
Archer Materials (ASX: AXE) has signed a research services agreement with the CSIRO’s data and digital specialist arm to advance quantum machine learning for fraud detection in financial transactions.
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