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

The seven-month programme is aimed at working professionals seeking to build production-ready artificial intelligence ...

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: 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 ...

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM ...

Introduction: In swine disease surveillance, obtaining labeled data for supervised learning models can be challenging because many farms lack standardized diagnostic routines and consistent health ...

The "Threat Intelligence Market by Solution (Threat Intelligence Platform (TIPS), SIEM Integration), Service (Risk Assessment and Threat Hunting, MDR), Application (Incident Response, Fraud, Threat ...