A new intelligent framework enhances lane keeping system safety testing by integrating statistical modeling, optimization algorithms, and real-time validation. It improves test coverage, accuracy, and ...

A metadata-driven ETL framework using Azure Data Factory boosts scalability, flexibility, and security in integrating diverse data sources with minimal rework. In today’s data-driven landscape, ...

Researchers from the University of Illinois Urbana-Champaign developed a data-driven framework for planning curbside EV charging in San Francisco, balancing economic efficiency, environmental benefits ...

What if your AI system could be evaluated with the same precision and rigor as a scientific experiment? In a world where artificial intelligence is increasingly central to decision-making, the stakes ...