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 ...
RAPS

FDA Seeks Help Using Algorithms to Detect Adverse Event Anomalies

As it becomes more difficult for the US Food and Drug Administration (FDA) to decipher when a series of adverse events could actually be a sign of a more significant problem, the agency is calling on ...
Visual Studio Magazine

Anomaly Detection Using K-Means Clustering with JavaScript

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, ...
National Academies of Sciences%2c Engineering%2c and Medicine

Robust Machine Learning Algorithms and Systems for Detection and Mitigation of Adversarial Attacks and Anomalies: Proceedings of a Workshop

This activity was supported by Contract 2014-14041100003-019 with the Office of the Director of National Intelligence. Any opinions, findings, conclusions, or recommendations expressed in this ...
techtimes

Smart Eyes on the Road: Advancing Anomaly Detection in Traffic Surveillance

Every day, millions of vehicles navigate a complex network of roads. Traffic congestions, accidents, and stalled vehicles can quickly disrupt this flow, causing delays, frustrations, and even danger.