AI resources and research

Resources to support researchers, including applications, and current AI research at the University.

Centre for Artificial Intelligence and Digital Ethics (CAIDE)

CAIDE facilitates cross-disciplinary research, teaching and leadership on the ethical, technical, regulatory and legal issues relating to AI and digital technologies.
Computing and Information Systems: AI research

AI research is a particular strength in CIS. Our researchers address many different approaches to AI: deep learning, data mining, machine learning, natural language processing, and agent-based systems.
Computing and Information Systems: AI and Autonomy Lab

The AI and Autonomy Lab develops innovative approaches to high-level cognitive reasoning, such as performing collaborative tasks, assessing the cognitive states of other agents, and human-agent interaction.
Faculty of Engineering and Information Technology: Industry-driven AI research

FEIT researchers have expertise developing AI-based solutions that enhance industry performance. This expertise encompasses key aspects of AI, including machine learning, natural language processing and autonomy.
Melbourne Data Analytics Platform (MDAP)

MDAP is a team of research data and academic specialists enabling data-intensive and collaborative research across the University of Melbourne.
AI at Melbourne Connect

Melbourne Connect is a dynamic innovation hub hosting a diverse range of AI experts, including researchers, entrepreneurs, and industry leaders.