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

The rapid escalation of AI/ML workloads—driven by increasingly large language models—is reshaping high-performance computing and AI data center architectures. Real-time inference and large-scale ...

AI workloads are forcing a fundamental rethink of how data centers are designed. Power, cooling, and compute must now be ...

Inside large engineering organizations, the lifeblood is rarely customer records; it is the designs, issues, and exper ...

Though the AI era conjures a futuristic, tech-advanced image of the present, AI fundamentally depends on the same data standards that have been around forever. These data standards—such as being clean ...

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 ...

Recent work under the INTEND project and the paper " Intent-Based Data Operation in the Computing Continuum " points in the ...

The Uptime Institute’s Tier standard is a globally recognized framework that classifies data centers into four tiers based on their infrastructure’s reliability, redundancy, and fault tolerance. These ...

Software development is increasingly automated. The existence of shortcuts, reference architectures, rapid application development environment design tools and configuration management accelerators ...

Data centers are among the fastest-growing markets worldwide, driven by the insatiable demand for computing power. With the rise of AI workloads and ever-denser server racks, facilities are struggling ...