Edge AI has moved beyond choosing a single chip or platform. Teams now face a harder question: how to go from prototype to safe, compliant, large-scale deployment—thousands to millions of devices—without drowning in integration work and life-cycle risk. In this […]
In this session we’ll provide a comprehensive introduction to the three fundamental auto algorithms (3A) that enable high-quality imaging in embedded camera systems: auto-exposure (AE), auto-focus (AF) and auto-white-balance (AWB). We’ll explain the core principles and logic behind each algorithm, […]
Large language models are powerful but often impractical for embedded and on-prem systems due to latency, cost, privacy and memory constraints. Small language models (SLMs)—typically comprised of single-digit billions of parameters or less—offer a deployable alternative but require different expectations […]
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