Machine Intelligence augments human intelligence in analysing and synthesising vast amounts of information. We focus on the computational modelling and design of intelligent agents in complex real-world contexts. Our research integrates areas of artificial intelligence (AI), machine learning (ML) and vision, natural language understanding, and robotics, to build autonomous systems that can perceive, plan, and respond to their environment in pursuit of high-level goals. Our teaching portfolio includes introductory and advanced courses in AI and ML from the foundational science to implementation of large-scale practical intelligent systems, with applications in computer vision, language understanding, and robotics, co-taught and co-developed across the College. We also work across the University to address questions on integrating human and social values in AI systems, touching on aspects of philosophy, cognition, ethics, and safety.

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