Machine learning is an integral part of high-stakes decision-making in a broad swath of human-computer interactions. You ...

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

Explore the hidden challenges of context rot in AI and how input length affects large language models. Uncover the paradox of ...

Just as people from different countries speak different languages, AI models also create various internal "languages"—a ...

Hierarchical federated learning (HFL) is a privacy-preserving distributed machine learning framework with a client-edge-cloud hierarchy, where multiple edge servers perform partial model aggregation ...

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 ...