Generative AI on Edge Systems Measuring where generative-AI inference — LLMs and RAG — spends time and energy on edge hardware, and adapting it at runtime Efficient Edge Vision Real-time visual perception within edge power budgets — from FPGA co-design to adaptive detector scheduling Robotics & Physical AI Vision-language-action models from edge to cloud — and where world models take embodied intelligence next Dependable Systems Reliability from mixed-criticality embedded systems to GPU supercomputers — the thread behind everything else