Artificial intelligence network

UQ researchers are working on techniques to manage increasingly large data sets and AI models, including human-in-the-loop data curation and energy efficient algorithmic design.

Our research focuses on developing algorithms and techniques for interpretation of visual information through processing, analysing, or fusing various modalities of multimedia data like images, videos, text, and audio.

UQ researchers are developing techniques for building effective machine learning systems using limited or synthetically generated datasets, without sacrificing predictive performance on novel real-world data.

While AI tools are becoming more sophisticated, evidence shows that effective use of these is limited. Our research aims to improve this through human-centred methodologies.

Our researchers are exploring new solutions for how generative AI systems operate, and how these systems can be used to truly amplify human potential.