Abstract: Financial transactions' growing quantities and complexity require improved anomaly detection techniques to fight fraud. This paper looks at the application of self-enclosure neural networks ...

Abstract: Financial crime is increasingly facilitated by technology and globalization, demanding advanced IT tools for detection. This paper presents an approach to automate the detection of ...

Speaking at WSJ Opinion Live in Washington, D.C., WSJ Editorial Page Editor Paul Gigot and SandboxAQ CEO Jack Hidary discuss Large Quantitative Models (LQMs) and their role in AI applications, the ...