Research
We assemble multi-disciplinary teams tailored to solve individual AI applications, drawing on technical expertise from fields such as computing and information systems, engineering, statistics and the social sciences.
To this we add sector-specific capability such as mining, finance, manufacturing and biomedicine and undertake robust testing of any new AI system before it is implemented.
Research centres and groups
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Centre for Artificial Intelligence and Digital Ethics (CAIDE)
Establishing ethical, regulatory and legal standards for AI technologies.
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Melbourne Centre for Data Science
Interdisciplinary research, teaching and leadership in data science.
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ARC Training Centre for Cognitive Computing in Medical Technologies
Applying AI in data intensive medical contexts.