Live Science

AI is getting better and better at generating faces — but you can train to spot the fakes

Surprisingly, the training increased accuracy by similar amounts in super recognizers and typical recognizers, Gray said.
IEEE

Anomaly Detection in Railway Tracks Using Hybrid Clustering and Spectral Analysis for Predictive Maintenance

Abstract: Efficient railway track maintenance is critical for safety, operational reliability, and cost-effective asset management. While traditional inspection methods are well-established and comply ...
EDN

Ignoring the regulator’s reference redux

Christopher Paul reviews Steve Woodward’s “Ignoring the regulator's reference” with a few minor tweaks to optimize ...
IEEE

Anomaly Detection in IoT Networks: A Deep Learning Approach Using Autoencoders

Abstract: The current fast proliferation of the Internet of Things (IoT) networks has made anomaly detection and security more difficult. Traditional methods are not able to detect hostile activities ...
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, ...
C&EN

De Novo Design of α-helical Peptide Nanopores for Single-Molecule Detection Using Helix Packing Motifs

Department of Biotechnology and Life Science, Tokyo University of Agriculture and Technology, Tokyo 183-8538, Japan ...