A new family of Android click-fraud trojans leverages TensorFlow machine learning models to automatically detect and interact ...

How agencies can use on-premises AI models to detect fraud faster, prove control effectiveness and turn overwhelming data ...

MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...

The tech tool has been subject to criticism and controversy since being launched by the department five years ago.

With Qubitra, they intend to drive practical value by applying quantum approaches to some of the finance sector’s most ...

Standard Chartered Ventures and Fujitsu Limited have announced the roadmap for their quantum-powered project, Qubitra ...

An AI model has been developed under government leadership to preemptively detect jeonse fraud before the contract signing stage. The government plans to discuss measures to develop it into an actual ...

ABSTRACT: Improved accuracy in predicting corporate financial fraud significantly enhances regulatory efficiency and market stability. However, detecting increasingly sophisticated fraud patterns ...

Researchers from Stony Brook University, in collaboration with Ecosuite and Ecogy Energy, have developed a self-supervised machine-learning algorithm designed to identify physical anomalies in solar ...

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 ...