기계 지능 연구실

Our ultimate goal is to develop socially intelligent machines. To achieve this, we are currently focusing on addressing challenges in , including multi-modal learning, video understanding, 3D perception, agentic system, reasoning in large language and multimodal language models (LLMs and MLLMs), and embodied intelligence with physical world interaction. We are also working on data-efficient learning to tackle the difficulties of acquiring large-scale real-world data. Research: You will work in a team with AMILab graduate students to explore and develop technologies needed in the current research community around a specific research topic. Regular Meetings and Seminars: You will participate in regular meetings and discussions to share research progress, as well as attend weekly seminars. Experience developing machine learning models, with proficiency in Python and PyTorch. Strong interest in artificial intelligence and computer vision. (Closed) Candidates for Graduate School (MS & PhD): Only applicable to the student who plan to apply for 2027 Fall.