When AI-driven detection underperforms, the instinct is to tune the algorithm, retrain the model or push the vendor for a ...

Welcome. This repository contains the data and scripts which comprise the Numenta Anomaly Benchmark (NAB) v1.1. NAB is a novel benchmark for evaluating algorithms for anomaly detection in streaming, ...

Sivakumar is an enterprise architect with 20+ years delivering secure cloud and AI/ML systems in retail and fintech. Stablecoins were created to solve one of crypto’s biggest problems: volatility. A ...

Abstract: Existing traffic video summarization algorithms are capable of detecting one-class (i.e., collision) anomaly and cannot handle uncertainty issues arising between two-class anomalies, such as ...

Abstract: Industrial development has changed vehicles of traditional into autonomous vehicles (AVs). AVs play a significant role since they are measured as a vital module of smart cities. The AV is an ...

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 ...

Site Reliability Engineering (SRE) is one of the key pillars for organizations. SRE teams are responsible for maintaining the system's scalability and reliability. One of the key challenges SRE teams ...

Dr. James McCaffrey of Microsoft Research tackles the process of examining a set of source data to find data items that are different in some way from the majority of the source items. Data anomaly ...

The digital age has ushered in a new era of convenience and opportunity. However, it has also opened doors for malicious actors, leading to a surge in fraudulent activities across various sectors.

Welcome to the ALeRCE anomaly detector framework. This is the main repository where you can find all the resources associated to our article: Alert Classification for the ALeRCE Broker System: The ...