People can learn to spot AI faces – but the clues are no longer obvious

Deepfake faces generated via artificial intelligence (AI) have become so realistic that they routinely fool people, with some ...
IEEE

Real-World Anomaly Detection by Using Digital Twin Systems and Weakly Supervised Learning

Abstract: The continuously growing amount of monitored data in the Industry 4.0 context requires strong and reliable anomaly detection techniques. The advancement of Digital Twin technologies allows ...
DATAQUEST

Google Cloud enters AI-native cybersecurity race against Anthropic and OpenAI

Enterprise cybersecurity has shifted from human‑driven patching to autonomous AI warfare. Google Cloud’s Threat Defence initiative redefines contextual triage, remediation, and India’s regulatory edge ...
pv magazine International

Industry 4.0 technologies raise cyber risks for smart renewables grids

An international research team developed a multi-stage intrusion detection system that uses supervised and unsupervised AI techniques to detect and mitigate cyber threats in smart renewable energy ...
Semiconductor Engineering

New Frontiers In Fault Detection And Classification

IC manufacturers are increasingly relying on intelligent data processing to prevent downtime, improve yields, and reduce scrap. They are integrating that with fault detection and classification (FDC) ...
Forbes

AI Applications In Fraud Detection In The Banking Industry

Kinil Doshi is a Senior VP at Citibank and a fintech expert in banking compliance and risk management with two decades of experience. In this article, I want to explore AI applications in fraud ...
IEEE

Anomaly Detection for In-Vehicle Network Using Self-Supervised Learning With Vehicle-Cloud Collaboration Update

Abstract: With the increasing communications between the In-Vehicle Networks (IVNs) and external networks, security has become a stringent problem. In addition, the controller area network bus in IVN ...
ITU

Unsupervised representation learning for BGP anomaly detection using graph auto-encoders

The Border Gateway Protocol (BGP) is crucial for the communication routes of the Internet. Anomalies in BGP can pose a threat to the stability of the Internet. These anomalies, caused by a variety of ...
Nature

Unsupervised anomaly detection for posteroanterior chest X-rays using multiresolution patch-based self-supervised learning

The demand for anomaly detection, which involves the identification of abnormal samples, has continued to increase in various domains. In particular, with increases in the data volume of medical ...
Nature

Unsupervised anomaly detection with generative adversarial networks in mammography

Breast cancer is a common cancer among women, and screening mammography is the primary tool for diagnosing this condition. Recent advancements in deep-learning technologies have triggered the ...