New tool leverages proprietary hiring success learning models trained on 150M+ hiring outcomes and proven science ...
Human trafficking remains a hidden crisis in the U.S. Learn how hotels, training laws, and partnerships are helping identify victims and stop trafficking.
Security teams often spend days manually turning long incident reports and threat writeups into actionable detections by ...
The Paris-based streaming service also plans to commercialize its proprietary AI-detection technology for the broader music industry.
Minnesota fraud cases involving daycare centers and medical providers demonstrate how fraud serves as an entry point for ...
This project implements and compares Temporal Graph Neural Networks (TGNNs) for detecting fraudulent transactions in financial networks. We've built a complete end-to-end system including model ...
Abstract: Federated Learning (FL) enables insurance companies to collaboratively train fraud detection models while maintaining data privacy. However, existing FL solutions are designed for static ...
Abstract: The expansion of digital interactions within present-day banking has led in a rise of fraudulent activity, making real-time fraud detection important for financial institutions. This study ...
Introduction: The growing prevalence of fraud and malware, fueled by increased online activity and digital transactions, has exposed the shortcomings of conventional detection systems, particularly in ...
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