Strengthen your agency’s edge by using AI code detection to spot risky AI-generated sections early and protect quality, security, and client trust. Build a repeatable review process by scanning repos, ...

Recent studies highlighted a practical setting of unsupervised anomaly detection (UAD) that builds a unified model for multi-class images. Despite various advancements addressing this challenging task ...

Abstract: Graph-level anomaly detection (GLAD) aims to identify graphs that significantly deviate from the norm. Despite remarkable advancements in recent years, existing GLAD approaches struggle with ...

Abstract: In the domain of image anomaly detection, significant progress has been made in un- and self-supervised methods with datasets containing only normal samples. Although these methods perform ...

We have attempted to develop a Fracture Line Detection System using MATLAB and its Image Processing Toolbox. The system aims to assist radiologists by processing X-ray images to automatically ...

According to Greg Brockman on Twitter, Codex is now demonstrating significant improvements in identifying security vulnerabilities within code. OpenAI is exploring trusted access programs specifically ...