Technology Networks

AI in the LIMS: How Machine Learning Is Changing Research Data Management

AI in LIMS platforms is reshaping research data management, from automated data capture to anomaly detection. Discover how ...

Quantum error correction can constantly recalibrate a processor

There are some obvious big picture issues that stand between us and useful quantum computing. Issues like whether we can make ...
Tech Xplore

Brain-inspired hardware brings faster, lower-power anomaly detection to AI systems

The brain's cerebellum doesn't waste energy analyzing every moment. Instead, it constantly monitors the world for the ...

How Rajesh Mattaparthi Is Using AI To Detect Hidden Faults In Standby Power Generators

Principal Data Engineer Rajesh Mattaparthi is using transformer-based AI to detect hidden faults in standby power generators ...
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

Google Cloud has expanded its enterprise cybersecurity push with AI Threat Defense, as the market shifts towards AI-native threat detection, contextual triage, and supervised remediation. The launch ...
leewayhertz

AI in anomaly detection: Use cases, methods, algorithms and solution

In this era of digital transformation, buzzwords like ‘Industry 4.0’ and ‘digitalization’ have become part of our daily vocabulary. But behind these trendy terms lies a potent technological innovation ...
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 ...
Scientific Research Publishing

Optimizing Network Security via Ensemble Learning: A Nexus with Intrusion Detection ()

Network intrusion detection systems need to be updated due to the rise in cyber threats. In order to improve detection accuracy, this research presents a strong strategy that makes use of a stacked ...
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 ...