Such systems aren't necessarily hard real time, but their predictability requirements represent an integral part of the functions they perform. They gather data from various sources (e.g., sensors) ...

After years of rapid advancement in cloud‑centric AI training and inference, the industry is reaching an edge AI tipping point.

The modern workforce is no longer bound by location, time zone, or corporate networks. Data engineers, analysts, and business users now access critical systems from home offices, shared workspaces, ...

Emerging electronic control challenges in process industries revolve around the increasing complexity and connectivity of systems, alongside the need for greater efficiency, reliability, and security.

In the fast-changing digital era, the need for intelligent, scalable and robust infrastructure has never been so pronounced. Artificial intelligence is predicted as the harbinger of change, providing ...

How event-driven design can overcome the challenges of coordinating multiple AI agents to create scalable and efficient reasoning systems. While large language models are useful for chatbots, Q&A ...

Explore how gaming systems influence distributed systems design through low latency and cloud computing. Anand Ganesh shares insights on real-time data processing.