At the Samsung AI Center-Cambridge, our teams work closely to develop innovate machine learning (ML) algorithms and systems, with the overarching objective to deliver state-of-the-art efficient AI models across Samsung consumer devices. To this end, we focus on high-impact projects that balance research and commercial outcomes. Our group conducts research on on-device and edge-based ML systems, focusing on model/system and hardware/software co-design, adaptive inference methods, robotic systems, and the optimized on-device deployment of large language models (LLMs) and multimodal visual language models (VLMs).
Our team is characterized by its diverse backgrounds and expertise, ranging from pure machine learning and mobile/embedded systems to computer architecture and robotics, with strong emphasis on combining excellent research skills with hands-on development abilities. This diversity has enabled us to develop groundbreaking cross-stack ML systems and algorithms. Throughout our projects, we maintain strong ties with close-to-product teams, contributing to commercialization goals and ensuring our research has a tangible impact for Samsung through successful tech transfers and numerous patent applications. At the same time, our work is consistently and widely recognized, with multiple papers published in top-tier international conferences and journals.