Kennesaw State University (KSU) is stepping into the future of workforce-ready education with the launch of a new Bachelor’s degree ...
Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...
Security researchers detected artificial intelligence-generated malware exploiting the React2Shell vulnerability, allowing ...
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These 6 AI courses will make you an expert: You won't have to spend a single rupee ...
Artificial intelligence (AI) is rapidly transforming the way we work. While AI is impacting many traditional jobs, it is also ...
Abstract: This is a real-time face recognition and monitoring system that can be used in applications such as online exam proctoring and security. It uses the face recognition and OpenCV libraries of ...
Fraud in Savings and Credit Cooperative Organizations (SACCOs) remains a major challenge that undermines financial inclusion and sustainability in developing countries. This study conducted a ...
This hybrid approach achieves 94.1% accuracy while maintaining a low 2.8% false positive rate, making it suitable for production deployment in UIDAI's fraud detection pipeline. uidai-anomaly-detection ...
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 ...
Invictus Growth Partners has made a $63 million growth-equity investment to take control of Informed.IQ, a provider of artificial intelligence-powered verification and fraud prevention services to ...
Two-year-old Tofu is using AI to cross-reference social media profiles and verify applicant’s identity. A new partnership with ATS provider Gem and a $5 million seed fundraise should bring their HR ...
Improved accuracy in predicting corporate financial fraud significantly enhances regulatory efficiency and market stability. However, detecting increasingly sophisticated fraud patterns remains ...
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