News

The UQ AI Research Network is pleased to announce the 2025 UQ AI PhD Showcase. The UQ community is invited to join a two-day catered event on Thursday 26th & Friday 27th June at the St Lucia Campus. The event will include keynote talks from Dr. Peter Bailey (Canva) and Lawrence Kusz (ChatStat), presentations and posters of AI related projects by 40 UQ PhD researchers, an expert panel discussion, and social networking.

'Responsible AI: Your questions answered' is a first-of-its-kind report from the Australian Academy of Technological Sciences and Engineering in partnership with the Australian Institute of Machine Learning and features contributions from 13 Australian AI leaders including UQ AI academics.

The new AI Research Network builds on the research strengths fostered through the AI Collaboratory to advance UQ’s standing in AI research and education through transdisciplinary collaborations and engagement with industry, government and community.

While global dependency on AI is ballooning, humans are still suspicious of this new technology, particularly in the workplace. Findings from 'Trust in Artificial Intelligence: A global study', a world-first research partnership between The University of Queensland (UQ) and KPMG Australia, explores how organisations can build trust in their use of AI at work and encourage employees to buy in.

Professor Brian Lovell from the UQ AI Collaboratory and the School of Electrical Engineering and Computer Science, together with Sullivan & Nicolaides Pathology, has developed a system using AI to scan and analyse pathology slides, allowing for faster processing and diagnosis.

This video series, led by UQ AI's Dr Shekhar "Shakes" Chandra, provides information to help you with High Performance Computing (HPC), model profiling performance tuning, and model deployment.

In this two-video series, find out more about ChatGPT and how to optimise language models for dialogue, and delve into the world of Transformers.

Gain an in depth introduction to stable diffusion - an AI method that has taken over social media recently and marks significant progress in computer vision - with this seminar from the Summer of AI series.

Associate Professor Hongzhi Yin has been named in the prestigious IEEE Computer Society 'AI's 10 to Watch' list for 2022, a biennial award that recognises 10 rising stars in the field of Artificial Intelligence (AI) from among dozens of nominees. 

Join Dr Shekhar "Shakes" Chandra from the UQ AI Collaboratory as he guides you through four key areas of AI.

How can you be confident that a robot will always do the right thing? UQ Researchers are working together to make robots more useful and accessible to society.

UQ Researchers are addressing challenges to food production such as population increase and climate change through the use of AI.

Computer vision allows machines to perceive and react to the dynamic changes of the world. At UQ our researchers are working towards bridging the domain gap between laboratory data and the real world.

The goal of information retrieval research is to allow people to access high quality information in a fast and seamless manner. UQ researchers are developing new technologies that will power the next generation of search engines and recommender systems.

AI researchers are working together to make AI greener and more sustainable.

At UQ, we are developing new deep learning techniques for medical image analysis and creating new AI methods for analysing, extracting and distilling information relevant for healthcare professionals.

A University of Queensland and KPMG Australia study surveying more than 17,000 people from 17 countries revealed new insights into trust and attitudes towards AI and its use at work, the perceived risks and benefits, and expectations of its management and regulation.

Language models and AI is really having AI understand the world. UQ researchers are taking a human-centered approach, working together to understand how AI can be used to support what people want to do.

Trust is fundamental to the acceptance and adoption of AI technologies, yet there are inherent features of AI that make trust challenging to secure. Across multiple projects, UQ research is advancing understanding of the key drivers of trust in AI, stakeholder expectations of the management and governance of AI systems, and the organisational capabilities and practices required to achieve trustworthy AI and secure stakeholder trust.

On 31st October and 1st November, the University of Queensland (UQ) artificial intelligence (AI) research community gathered for a 2-day workshop on AI.