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

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

The semiconductor industry enters 2026 amid a fundamental transformation as AI continues to expand faster than any previous compute wave. SoC design teams are confronting a level of complexity that is ...

News cycles are increasingly dominated by debates about AI’s impact on power systems, consumer energy prices, grid emissions ...

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

A new AI infrastructure platform claims to let enterprises deploy artificial intelligence without exposing ...