Embedded AI Lab

Efficient and Personalized AI Agents on various devices (Robots, Smartphones, Vehicles, Home Appliances, etc.) At the KAIST Embedded AI Lab, you can explore these questions through research spanning both AI models and systems. We pursue computation-embedded intelligence: understanding how an agent’s computational state and execution structure shape its ability to perceive, remember, learn, reason, and act. Make an important problem your own. Explore how neural memory should retain and retrieve experience, how agents should learn within limited resources, or how execution should adapt to the demands of a physical task. We encourage researchers to identify the assumptions behind existing approaches and develop questions that can grow into a coherent research direction. Build depth and connect across the computing stack. Your starting point might be foundation models, learning algorithms, operating systems, runtimes, compilers, or embedded hardware. Our research connects these areas, creating opportunities to develop a strong specialty and understand how your ideas enable advances elsewhere in the system. Turn your ideas into systems you can experiment with. Develop a model, implement a memory mechanism, build a runtime, or integrate an intelligent agent on a device. Study how your design changes learning capability, responsiveness, energy use, and dependable behavior. Working systems make discoveries tangible and reveal new questions that emerge during deployment. Grow into an independent researcher through collaboration. We value open discussion, rigorous experiments, shared learning, and mutual support. Our goal is to help one another develop the judgment to choose meaningful problems, the technical depth to solve them, and the clarity to communicate the results. Our lo