Modern control system design is increasingly embracing data-driven methodologies, which bypass the traditional necessity for precise process models by utilising experimental input–output data. This ...

AI will impact every industry and every aspect of society. The pace of AI continues to be relentlessly fueled by new software, hardware, and learning paradigms, and it remains a challenge to meet the ...

Model-based systems engineering (MBSE) has been around for a while, but it continues to gain ground in engineering projects ...

I’ve been flying multispectral missions for a few years now, and the biggest surprise of these systems is how much processing ...

AI systems are only as fair and safe as the data they’re built on. While conversations about AI ethics often focus on model architecture, algorithmic transparency or deployment oversight, fairness and ...

Integrating AI into chip workflows is pushing companies to overhaul their data management strategies, shifting from passive storage to active, structured, and machine-readable systems. As training and ...

EVOLVE, an agentic framework that autonomously optimizes AI training data, model architectures, and learning algorithms — ...

Analyzes design of data systems, including data stored in file systems, database management systems and physical data organizations. Studies calculus of data models, query languages, concurrency and ...

Why it matters: Operating data centers requires a lot of energy, and the enormous amount of water used to cool them is a growing environmental concern. As the expansion of AI data centers exacerbates ...