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 ...

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 ...

Design for manufacturing (DfM) is evolving from traditional engineering practices into a data-intensive discipline that requires real-time integration of manufacturing capabilities, supplier ...

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 ...

Madhuri Latha Gondi builds design mobile system architecture supporting high-volume real-time transactions on a global 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 ...

As data speeds push into the multi-gigabit range and requirements on digital systems grow more complex, cutting down the time-to-market while also ensuring error-free reliable designs seems impossible ...

With the addition of NVIDIA NVLink Fusion, SiFive computing platforms can connect directly to NVIDIA GPUs and accelerators using a coherent, high-bandwidth interconnect to reduce latency, share data ...

Design thinking is critical for developing data-driven business tools that surpass end-user expectations. Here's how to apply the five stages of design thinking in your data science projects. What is ...