There's plenty of buzz around how AI can make self-healing networks a reality -- but how close are we to that, really?

That challenge is examined in the study Towards Eco-Friendly Cybersecurity: Machine Learning-Based Anomaly Detection with ...

Demos include PC-based and FS42 camera-based deep learning optical character recognition, deep learning anomaly detection on the newly launched Zebra NS42 camera (Credit: Zebra) Machine vision, edge ...

Introduction: Why Data Quality Is Harder Than Ever Data quality has always been important, but in today’s world of ...

TEGUAR and SORBA.ai Announce Strategic Hardware Partnership to Accelerate On-Prem Industrial AI Deployment in Critical Environments JACKSONVILLE, FL, UNITED STATES, January 5, 2026 /EINPresswire.com/ ...

The mathematics protecting communications since before the internet remain our strongest defense against machine-speed ...

Abstract: Credit card fraud detection presents a significant challenge due to the extreme class imbalance in transaction datasets. Traditional machine learning models struggle to achieve high recall ...

Abstract: This paper presents a vibration-based machine learning approach for road surface monitoring using smartphone sensors. With Mexico’s road network experiencing significant deterioration and ...

Information and communication technology (ICT) is crucial for maintaining efficient communications, enhancing processes, and enabling digital transformation. As ICT becomes increasingly significant in ...

Surpriver - Find High Moving Stocks before they Move Find high moving stocks before they move using anomaly detection and machine learning. Surpriver uses machine learning to look at volume + price ...