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 ...

Abstract: Graph-level anomaly detection (GLAD) aims to distinguish anomalous graphs that exhibit significant deviations from others. The graph-graph relationship, revealing the deviation and ...

The post quoted-tweeted engineer, physician and entrepreneur Peter H. Diamandis and echoed a refrain Musk has voiced in public conversations over the years. "Better to live life erring on the side of ...

Apple Inc. said its hypertension detection system for its smart watch will arrive next week after receiving clearance Thursday from the US Food and Drug Administration. The feature, which was ...

A project run by Eaton and NREL has developed a tool that can detect powerline faults otherwise difficult to detect, enabling utility companies to reduce the chance of both power outages and wildfires ...

NASA's $10 billion space telescope studied the third interstellar object to enter the solar system, measuring the chemical contents of its halo. When you purchase through links on our site, we may ...

Deep Graph Anomaly Detection: A Survey and New Perspectives A professionally curated list of awesome resources (paper, code, data, etc.) on Deep Graph Anomaly Detection (DGAD), which is the first work ...

Introduction: Adolescent suicide is a critical public health concern worldwide, necessitating effective methods for early detection of high suicidal ideation. Traditional detection methods, such as ...

Abstract: Graph neural networks (GNNs) have shown promise in graph classification tasks, but they struggle to identify out-of-distribution (OOD) graphs often encountered in real-world scenarios, ...

In southern Australia, a government agency is trialing the assistance of hardworking detection dogs to help locate a protected python species for improved conservation efforts, ABC News Australia ...