The healthcare industry is at a crossroads. Advanced analytical technology and operational efficacy converge with strategic ...
DENVER, CO, UNITED STATES, January 12, 2026 /EINPresswire.com/ — The Deepfake Summit, the first official event produced by The Prism Project and Acuity Market ...
Abstract: Financial institutions face a major problem with credit card fraud which requires them to build strong fraud detection systems. The study evaluates different machine learning methods to ...
Abstract: Fraud detection remains a difficult task due to the extreme imbalance between normal and fraudulent transactions, where fraud typically represents less than 1% of the data. This imbalance ...
Financial fraud has become both more sophisticated and harder to isolate, hiding within massive streams of legitimate activity. Conventional machine learning models, long relied upon by banks and ...
What’s driving the rise in digital fraud? The global payments landscape appears more dynamic and complex than ever before. As e-commerce spending accelerates toward an estimated $8.1 trillion by 2028, ...
A new report from a provider of an AI-powered accounts receivable platform has a perhaps curious message: Be careful about placing too much trust in artificial intelligence. The vendor, Billtrust, ...
Cybersecurity researchers have discovered vulnerable code in legacy Python packages that could potentially pave the way for a supply chain compromise on the Python Package Index (PyPI) via a domain ...
Amber Nigam is CEO and cofounder of basys.ai, a Harvard-based company streamlining prior authorization for health plans with agentic AI. In 2023, the U.S. spent $4.9 trillion on healthcare, almost one ...
1 School of Computer Engineering, Suzhou Polytechnic University, Suzhou, China 2 College of Science Mathematics and Technology, Wenzhou-Kean University, Wenzhou, China The proliferation of digital ...
Quantum software startup Haiqu announced results from a trial this week demonstrating that current quantum computers could detect subtle financial anomalies that could indicate fraud more efficiently ...
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