Latest events

AIML Special Presentation: Historical reasoning and machine learning

Date: Fri, 7 Nov 2025, 3:00 pm - 4:30 pm
Location: AIML

How do historians learn from the past to identify patterns, make predictions, and improve their work? Are their heuristics helpful for further advancing the development of machine learning? In this workshop, Professor Marnie Hughes-Warrington explored examples of how prize-winning historians reason about the past, including through dynamic spatio-temporal scaling, the use of conditionals and counterfactuals, and in the citation of temporal markers to fix and give credence to information.

Responsible AI Summit for Future Education

Date: Thu, 6 Nov 2025, 10:00 am - 3:00 pm
Location: AIML

The Responsible AI Research (RAIR) Centre invited educators and researchers to the Responsible AI Summit for Future Education to explore how AI was transforming the way we teach and learn. The event offered practical insights for teachers and education professionals seeking to integrate AI responsibly into their classrooms and curricula. Through a panel discussion and interactive workshops, participants gained strategies to enhance digital literacy, improve student engagement, and prepare learners for an increasingly AI-driven world.

AIML Research Seminar: How to engage effectively on LinkedIn

Date: Tue, 21 Oct 2025, 10:30 am - 11:15 am
Location: AIML

With over a billion users, LinkedIn is filled with people sharing their professional lives, achievements, and goals. But are you among the loudest voices on the platform?

AI on the Ground Seminar: AI for Paediatric Fracture Detection on Imaging

Date: Mon, 20 Oct 2025, 10:30 am - 11:15 am
Location: AIML

This talk explored the development and evaluation of artificial intelligence for detecting fractures in children on X-rays—one of the most common but misdiagnosed emergency care conditions. Dr. Shelmerdine reviewed current evidence from commercial AI tools, discussed findings from a large multi-reader study, and shared perspectives from children and families on trust, consent, and AI in healthcare. The session also touched on early work around cost-effectiveness and value for the NHS, asking the central question: could AI genuinely improve outcomes in paediatric fracture care while delivering value to health systems?

AIML Research Seminar: Intelligent Molecular Design

Date: Tue, 7 Oct 2025, 10:30 am - 11:15 am
Location: AIML

Abstract: Proteolysis-targeting chimeras (PROTACs) represent a powerful strategy for targeted protein degradation, yet their design is hindered by the complexity of linker generation and degradability assessment. Our recent research unifies PROTAC generation and degradability prediction. We leverage graph-based architectures to generate chemically valid linkers guided by protein–ligand context and integrates predictive modelling to evaluate degradation potential. Experiments demonstrate the framework’s ability to produce diverse, drug-like candidates with reliable degradability predictions.

AI on the Ground Seminar: Case study of a sepsis silent trial in Queensland

Date: Fri, 26 Sep 2025, 10:30 am - 11:15 am
Location: AIML

In this session, Anton Van Der Vegt, Advanced QLD Industry Research Fellow at the University of Queensland, presented insights from a sepsis "silent trial" in Queensland – a novel approach to health program evaluation using real-world data and decision support tools without active clinical intervention. The case study provided valuable lessons for implementing AI systems in healthcare settings, especially where ethics, evaluation, and clinical integration intersected.

AIML Research Seminar: Perceiving Mind in Machine

Date: Tue, 23 Sep 2025, 10:30 am - 11:15 am
Location: AIML

Humans are prone to anthropomorphising AI, especially as systems grow more human-like. Perceiving mind and agency in machines has raised concerns about trust, attachment, manipulation, and other ethical/behavioural consequences. The potential long-term influences of advancing the human-likeness of machines are profound, likely affecting how we assign moral responsibility or moral significance to entities. Existing theories relating to anthropomorphism, such as Theory of Mind, dimensional models of Mind Perception, the Intentional Stance, and Mindreading, are vexed and overlapping. The state of anthropomorphism theory and lack of ecologically valid empirical work complicate the prediction and interpretation of consequences concerning human-like AI systems. This talk overviews whether the theory can tell us about the consequences of advancing human-like chat/assistant systems and what should make a system more human-like. To better answer such questions and advance empirical work in the field of human-AI interaction more broadly, the talk will introduce chatPsych: an open-source AI interface built to facilitate cognitive/behavioural/psychological research.

AIML Research Seminar: Pre-Surgical Diagnostic and Prognostic Prediction in Paediatric Brain Cancer Using Deep Learning

Date: Tue, 9 Sep 2025, 10:30 am - 11:15 am
Location: AIML

Abstract: Paediatric brain cancer (PBC) is the second most common form of childhood cancer, yet it carries the highest mortality rate. Alongside the mortality rate, many survivors experience intellectual and physical disabilities long into adulthood. A clear, ground-truth diagnosis based upon molecular information can only be obtained from a tumour sample, which in brain cancers often necessitates risky surgery.

End-to-end robotics learning: a self-contained tutorial from fundamentals to frontiers

Date: Tue, 2 Sep 2025, 9:30 am - 12:30 pm
Location: TechCentral lecture theatre

Artificial Intelligence is changing the world, but most AI still exists only in code. Robotics brings AI into the physical world, allowing it to see, move, and interact. AIML hosted a robotics tutorial delivered by our world-class researchers and engineers aimed at undergraduate and postgraduate students, as well as AI engineers.

AIML Research Seminar: How pre-award works and how to manage grant submissions via Research Services

Date: Tue, 26 Aug 2025, 10:30 am - 11:30 am
Location: AIML

The University of 911��'s Research Services Manager (Pre-award) Siobhan Guy gave a presentation on the pre-award process, how to navigate grant application requirements, submission management through Research Services, and the support they offer to researchers.

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