Nature

Anomaly Detection in Images Using Deep Learning Techniques

Anomaly detection in images is rapidly emerging as a critical field in both industrial quality control and medical diagnostics. Leveraging deep learning techniques, researchers have developed methods ...
Devdiscourse

Fast and Accurate Water Leak Detection in Distribution Networks Using Deep Anomaly Models

Researchers from Politecnico di Milano propose a data-driven water leak detection method that treats leaks as anomalies in ...
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, ...
Edexlive on MSN

Indian Banks Go All-In on AI: ML Revolutionizes Fraud Detection Amid RBI Push

Indian banks shift to ML models for FCC as rule-based systems falter against fraud, per KPMG. RBI's FREE-AI and SEBI guidelines accelerate AI in AML, fraud detection; 15+ banks use MuleHunter.AI ...
Daily FT

AI-enabled threat detection for Blockchain attacks

Artificial Intelligence enabled threat detection for Blockchain attacks mainly involved in the application of deep learning and machine learning techniques to identify and mitigate vulnerable and ...