Edge AI Explained: Intelligence Inside Devices | TinyML Primer скачать в хорошем качестве

Edge AI Explained: Intelligence Inside Devices | TinyML Primer

Edge AI: Intelligence Inside is an introductory video that sets the stage for our TinyML seminar at Mälardalen University (MDU). This video is not a live recording but a generated overview designed to introduce the core ideas behind Edge AI and TinyML—why intelligence is moving from the cloud into devices, and what this shift means for embedded systems. In this primer, we cover: • What Edge AI is and why it matters • The concept of “intelligence inside” devices • How TinyML enables ML on microcontrollers • Key constraints: memory, compute, power, and latency • Real-world motivations for on-device intelligence This video serves as the opening introduction to a broader seminar series on TinyML and embedded machine learning, aimed at students, researchers, and engineers working with edge devices and resource-constrained systems. 📂 Seminar materials and repository: https://github.com/HERO-MDH/TinyML-Se... ▶️ Watch the full TinyML seminar playlist to dive deeper into theory, tools, and practical deployment on microcontrollers.