Who needs rewrites? This metadata-powered architecture fuses AI and ETL so smoothly, it turns pipelines into self-evolving ...

The rise of FML allows systems to become progressively more intelligent and autonomous by using on-device data and sharing only encrypted model updates.

There has been rapid growth in the use of machine learning (ML) software in emerging edge and IoT systems. ML software deployments enable analytics and pattern recognition for multi-modal data (e.g., ...

This study presents a comprehensive survey on Quantum Machine Learning (QML) along with its current status, challenges, and perspectives. QML combines quantum computing and machine learning to solve ...

A critical privilege escalation vulnerability affecting Azure Machine Learning (AML) has been discovered by cybersecurity researchers. The flaw allows attackers with only Storage Account access to ...