SYMPLE Lab (System-level Memory, Processor, and Logic Engineering) explores next-generation AI system design across the full stack — from algorithms to architectures to silicon. We develop memory-centric and precision-adaptive computing techniques for efficient large-scale AI. Our research targets emerging generative AI workloads, including large language and diffusion models. By tightly co-optimizing models and hardware, we push the limits of energy efficiency and scalability. Our goal is to bring powerful AI from the cloud closer to everyday devices.