Latest events

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.

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 Adelaide'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.

AI on the Ground Seminar: the journey towards an ecosystem that supports AI innovation in South Australian health

AI on the Ground August 2025 with HeartAI

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

HeartAI’s work enables the next generation of learning health systems through real-time data streaming, clinical decision support, and robust artificial intelligence. While these innovations unlock new possibilities for healthcare delivery, they also present significant challenges, requiring major restructuring of technical capabilities and capacities. This engaging session explored the practical applications of AI in healthcare and the collaborative ecosystem needed to sustain ongoing innovation.

Metropolitan and regional South Australian students visit AIML

Silvia Calado and Hilary Brookes with Thomas Nowak

Date: Tue, 12 Aug 2025, 10:00 am - 1:30 pm
Location: AIML

On 12 August, a group of 175 high school students from metropolitan and regional South Australia visited Lot Fourteen for a tour organised by the South Australian Government's Department for Education, aimed at encouraging interest in STEM pathways.

AIML Research Seminar: Why AI Literacy Matters: Empowering Future Thinkers in the Age of Uncertainty

Date: Tue, 29 Jul 2025, 10:30 am - 11:30 am
Location: AIML

In this talk, Dr Jinan Zou explores key AI literacy frameworks developed both in Australia and internationally, and how they shape our understanding of what it means to be AI-literate. Dr Zou also discusses how these frameworks can guide the development of educational programs that help individuals move beyond passive use toward critical, creative, and responsible engagement with AI.

Delegation of Northwest A&F University students visit AIML

Date: Fri, 25 Jul 2025, 3:00 pm - 5:00 pm
Location: AIML

On 25 July 2025, AIML welcomed a delegation of 18 school teachers and students from Northwest A&F University (NWAFU) in Shaanxi, China, who were visiting as part of a teacher training program. The visit began with a presentation by AIML Business Development Manager Matthew Cliff, who introduced AIML’s research centres, including the Centre for Augmented Reasoning (CAR), the CommBank Centre for Foundational AI Research, and the Responsible AI Research (RAIR) Centre. This was followed by presentations from AIML PhD student Cameron Gordon and RAIR Centre Education and Outreach Liaison Dr Jinan Zou.

AIML Connect Fridays: Coded Bias Screening

Date: Fri, 18 Jul 2025, 4:00 pm - 5:30 pm
Location: Tech Central, Lot Fourteen

AIML and the Lot Fourteen Innovation District presented a screening of Coded Bias, a documentary about artificial intelligence and the biases that can be embedded within. When MIT Media Lab researcher Dr Joy Buolamwini discovers that facial recognition does not see dark-skinned faces accurately, she worked to find out why these systems failed. After discovering that facial recognition programs only worked for her when she wore an actual white mask, she went on to research how else tech systems can affect minorities and embarks on a journey to push for the first-ever U.S. legislation against bias in algorithms that impact us all.