Toto—an open-weights, zero-shot, time series foundation model—and BOOM, the largest public benchmark of observability metrics ...

Datadog, Inc. (NASDAQ: DDOG), the monitoring and security platform for cloud applications, today unveiled the first two launches from Datadog AI ...

Consequently, zero-shot anomaly detection techniques, which do not require training data and thus avoid interference from training data, have emerged as a new research direction. Meanwhile, the ...

The spokesperson added: “The goal of implementing Anomaly Detection Algorithm (ADA) solutions is to provide computer-assisted analysis of nonintrusive inspection image images and other data that ...

Although predicated on advanced math concepts, anomaly detection, or as the NIST Cybersecurity Framework 2.0 calls it, “adverse event analysis,” has over the past two decades been incorporated ...

Abstract: Zero-shot anomaly detection (ZSAD) aims to develop a foundational model capable of detecting anomalies across arbitrary categories without relying on reference images. However, since ...

Six of the firms that responded offer gunshot-detection technology, including SoundThinking, ShotSpotter’s parent company. The city has since started accepting bids on a new “gun violence ...

Current LLM-based methods for anomaly detection include prompt engineering, which uses LLMs in zero/few-shot setups, and fine-tuning, which adapts models to specific datasets. Despite their advantages ...

[paper] [code] [Wang2024] Context Correlation Discrepancy Analysis for Graph Anomaly Detection in TKDE, 2024. [paper] [Niu2024] Zero-shot Generalist Graph Anomaly Detection with Unified Neighborhood ...

at anomaly detection," Sinha said. "Embedding-based anomaly detectors are really good at detecting when observations are different from prior experiences, whereas zero-shot chain-of-thought reasoning ...