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

Abstract: Log analysis, especially log anomaly detection, can help debug systems and analyze root causes to provide reliable services. Deep learning is a promising technology for log anomaly detection ...

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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 ...

Dr. James McCaffrey presents a complete end-to-end demonstration of anomaly detection using k-means data clustering, implemented with JavaScript. Compared to other anomaly detection techniques, ...

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 ...