TDAAD is a Python package for unsupervised anomaly detection in multivariate time series using Topological Data Analysis (TDA). Website and documentation: https://irt-systemx.github.io/tdaad/ ...

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 ...

Abstract: Anomaly detection in multivariate time series has gained significant attention in past few years. The rarity of anomalies, considerable data volatility, absence of anomaly labels, and need ...

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 ...

Abstract: Critical infrastructures encompass a wide range of process control systems, each with unique security needs. Securing diverse systems is a challenge since they require custom defenses. To ...

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 ...

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 ...