The project will build upon CSIRO’s expertise in the field of QML to develop new and innovative QML models. QML has the potential to offer enhanced reliability, training speed-up and unique feature ...
Detecting and preventing accounting fraud is a concern for many policymakers around the world. This column presents a framework that incorporates machine learning techniques to detect and forecast ...
A surge in digital payment technologies has been paralleled by an equally rapid increase in credit card fraud. This research field explores multifaceted approaches that combine advanced analytics, ...
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 ...
Quick Summary Looking to detect and prevent financial and digital fraud more effectively? Discover the 7 best fraud detection systems for enterprises in 2025 that leverage advanced analytics, machine ...
The Chosun Ilbo on MSN
Government AI detects 60% of jeonse fraud risks early
An AI model to detect jeonse fraud risks in advance during the pre-contract stage has been developed under government leadership. The government plans to discuss measures to expand it into an actual ...
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