Quesma, Inc. announced the release of OTelBench, the first comprehensive benchmark for evaluating LLMs on OpenTelemetry ...
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 ...
Microsoft’s investigation into RedVDS services and infrastructure uncovered a global network of disparate cybercriminals ...
You must have the Ollama application installed and running. This project comes with pre-packaged wake-word (hey_jarvis) and TTS models in the models/ directory. No ...
Atlassian, Zebra Technologies, Kion, Dynatrace, Datadog and Drata are among CRN’s coolest cloud monitoring and management ...
If your calendar is packed with standups, releases, and stakeholder calls, structured learning can feel out of reach. Yet AI ...
What happens when intelligence moves off the cloud and onto the device? Edge AI Studio cuts latency, improves performance, ...
A tool for spotting pancreatic cancer in routine CT scans has had promising results, one example of how China is racing to apply A.I. to medicine’s tough problems. Self-service kiosks at the ...
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: This study focuses on the anomaly detection problem in Network Security Situational Awareness (NSSA). We systematically review traditional approaches and recent advancements based on Machine ...
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