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

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

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 ...

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 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 ...

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 ...

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 ...

AurenixAI uses advanced artificial intelligence to power modern trading systems, improving speed, accuracy, and smarter data-driven decisions in fast-moving financial markets.