Abstract: In this paper, we propose an anomaly detection model based on Extended Isolation Forest and Denoising Autoencoder, which achieves unsupervised anomaly detection with good generalization ...

Abstract: Industrial few-shot anomaly detection (FSAD) requires identifying various abnormal states by leveraging as few normal samples as possible (abnormal samples are unavailable during training).

AI tools are frequently used in data visualization — this article describes how they can make data preparation more efficient ...

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Earnings announcements are one of the few scheduled events that consistently move markets. Prices react not just to the reported numbers, but to how those numbers compare with expectations. A small ...

The Numenta Anomaly Benchmark Welcome. This repository contains the data and scripts comprising the Numenta Anomaly Benchmark (NAB). NAB is a novel benchmark for evaluating algorithms for anomaly ...

An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

Cloud infrastructure anomalies cause significant downtime and financial losses (estimated at $2.5 M/hour for major services). Traditional anomaly detection methods fail to capture complex dependencies ...

oLLM is a lightweight Python library built on top of Huggingface Transformers and PyTorch and runs large-context Transformers on NVIDIA GPUs by aggressively offloading weights and KV-cache to fast ...

SAN DIEGO (KGTV) — A pet python that was believed to be stolen has returned to the Ocean Beach library. According to a librarian, a regular at the library spotted the snake on a windowsill near the ...

Splunk, a Cisco company, unveiled at its .conf25 conference this week, agentic AI-powered security and observability capabilities designed to automate threat response, streamline IT operations, and ...