AI-powered penetration testing is an advanced approach to security testing that uses artificial intelligence, machine learning, and autonomous agents to simulate real-world cyberattacks, identify ...
New benchmark shows top LLMs achieve only 29% pass rate on OpenTelemetry instrumentation, exposing the gap between ...
Foundational Concepts in Programming Industrial Robots. Before you can get a robot to do anything useful, you need to understand how it works and the math behind its movements. It ...
07.2025: Dinomaly has been integrated in Intel open-edge Anomalib in v2.1.0. Great thanks to the contributors for the nice reproduction and integration. Anomalib is a comprehensive library for ...
The dataset is already organized in YOLO format in the steel_dataset/ directory. If you need to reorganize from original format, see utility/reorganize_dataset.py. steel-defect-detection/ ├── ...
Foundational Concepts in Programming Industrial Robots. Before you can get a robot to do anything useful, you need to ...
Learn how lattice-based PQC secures Model Context Protocol (MCP) transport layers against quantum threats using NIST standards like ML-KEM and ML-DSA.
Microsoft released new open‑source quantum development tools that deepen VS Code and Copilot integration while targeting real ...
Modern economies run on networks that are expected to be always on, always secure, and increasingly autonomous. Hospitals rely on them for connected medical dev ...
Abstract: Anomaly detection for time-series data has been viewed widely in many practical applications and caused lots of research interests. A popular solution based on deep learning techniques is ...
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