Assembly Magazine

Machine Learning Detects Fastening Errors

Ford engineers are studying whether AI can play a role in detecting faulty run-downs. To do that, they first had to determine ...
techtimes

Securing API Gateway with AI/Ml-Driven Anomaly Detection & Mitigation

Are you aware that your API gateway, a vital component of modern software architecture, is also one of the most vulnerable points in a network? Shockingly, a 2022 survey by Statista revealed that most ...
Electronic Design

Explainable AI for Anomaly Detection

What is explainable AI (XAI)? What are some of the use cases for XAI? What are the technology requirements for implementing XAI? Anomaly detection is the process of identifying when something deviates ...
Automation World

The Insight-to-Action Gap: How Integrating ML Anomaly Detection with CMMS Eliminated 84% of Unplanned Downtime

Predictive maintenance fails not from bad models, but broken handoffs. Here's the integration architecture that closed the ...
insideHPC

Anomaly Detection: Its Real-Life Uses and the Latest Advances

Anomaly detection in the context of data science is detecting a data sample that is out of the ordinary and does not fit into the general data pattern (or an outlier). This deviation can result from a ...
insideHPC

Blue Coat Systems and Prelert Partner to Provide Anomaly Detection in Security Solutions

Prelert, a leading provider of machine learning anomaly detection, and Blue Coat Systems, Inc., a market leader in enterprise security, announced a partnership to integrate Prelert’s machine learning ...