Edge Computing and Embedded Systems constitute a critical research field at the intersection of hardware design, network architecture, and intelligent software systems. Edge computing refers to the ...

NPU-equipped MCUs open the door to optimized edge AI in systems ranging from wearable health monitors to physical AI in ...

Edge AI reached an inflection point in 2025. What had long been demonstrated in controlled pilots—local inference, reduced latency, and improved system autonomy—began to transition into scalable, ...

As artificial intelligence (AI) continues its momentum across the electronics ecosystem, 2026 is shaping up to be a defining year for edge AI. After years of rapid advancement in cloud‑centric AI ...

Using edge systems to run elements of generative AI could be game-changing. It requires planning and skill, but this hybrid approach may be the future. Historically, large language models (LLMs) have ...

Industry 4.0 is not just about automation. It’s about smart systems that sense, adapt, predict and act in real time. One example is inventory control, which was once a centralized back-office function ...