When governance is engineered into how data is created and used, it accelerates access, experimentation, model development ...

Innovative CLIQ system removes lighting as a construction bottleneck by dramatically reducing labor time and operating ...

The evolution of artificial intelligence, data engineering, and enterprise systems is no longer driven by isolated breakthroughs. It is shaped by practitioners who build, scale, and govern technology ...

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 ...

Data centers and high-performance computing (HPC) are the primary enablers of today’s power-hungry AI-driven technology, but chip designers, EDA vendors, and the data centers themselves have a long ...

As AI and other technologies surge in popularity, so has the demand for data centers to power global digital transformation. However, a greater demand for data centers also introduces demand for ...

Implementation uses role-based persona mapping to reconfigure interface views based on user intent and task context ...

As companies rely more heavily on real-time analytics and AI-driven tools, data engineering is evolving into a role that ...

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 ...

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 ...

When synthetic data and digital twins are combined, the result is a technological synergy that unlocks design potential, accelerates prototyping and expands the limits of creativity. In the field of ...