Worms is becoming a hotspot for predictive high-end algorithm development: The deep-tech company mAInthink.ai presents ...

New BeyondTrust research shows statistical models outperform heuristics in detecting Kerberoasting attacks. Better accuracy, ...

Vijay Kumar Soni, a digital payments expert, integrates engineering and AI to build secure, scalable financial platforms. His ...

To address this problem, we propose a novel industrial anomaly detection model G-Anomaly, to preserve the topological structure of the sample images and further enhance the model’s domain adaptability ...

DigitalOcean Holdings, Inc. (NYSE: DOCN), the simplest scalable cloud for digital native enterprises, today announced a collaboration with AMD that provides ...

AI-driven Clairity Breast platform, now FDA-approved, predicts five-year breast cancer risk from mammograms, enhancing early detection and prevention.

By leveraging agentic AI for container-based threat detection, organizations can move from reactive security to proactive defense, especially within the realm of identity and access management (IAM).

In this study, we applied the anomaly detection method based on sparse structure learning of the element correlation within MD trajectories to identify important features associated with state ...

What would you like to be added/modified: This project aims to design a device anomaly detection framework for KubeEdge, which uncovers causal relationships between device states to enable lightweight ...

Previous deep-learning-based methods have high-computation cost, which hinders their deployment in edge devices. In this article, we propose a dynamic anomaly detection network (DADN), which ...