Featured events

We run a number of artificial intelligence related events and workshops throughout the year.

Featured event

The AI Seminar Series will explore relevant topics in artificial intelligence and invite industry speakers and researchers to share their knowledge, experience and success.

Featured event

In the interactive Ask Me Anything Series, a panel comprising of experts will explore relevant topics in artificial intelligence from different perspectives, and answer questions raised by registered participants in the form of a webinar.

Featured event

The Summer of AI events are available to UQ Students and Staff only. For more information contact Dr. Shakes Chandra on shekhar.chandra@uq.edu.au.

The Future of Precision Prevention for Advanced Melanoma

27 July 2022 3:00pm4:00pm
Precision prevention of advanced melanoma is fast becoming a realistic prospect, with personalized, holistic risk stratification allowing patients to be directed to an appropriate level of surveillance, ranging from skin self-examinations to regular total body photography with sequential digital dermoscopic imaging.

AI in healthcare – from bytes to bedside

19 August 2022 1:00pm2:00pm
Artificial intelligence (AI), and machine learning (ML) in particular, are set to revolutionise everyday healthcare and improve patient outcomes. This presentation will illustrate the steps required to take AI/ML applications from in-silico prototypes to effective point-of-care instruments embedded within electronic medical records and imaging software.

Explainable AI is dead! Long live explainable AI!

28 June 2022 11:00am12:00pm
Prof. Miller will present an overview of the intersection of explainable AI and will present some key examples of how to integrate social science knowledge into these methods for explainability in sequential decision making problems.

Ask Me Anything about Deep Learning

23 June 2022 3:00pm4:00pm
Have you ever wondered how deep learning impacts on our daily activities – including things like web searches, image searching, virtual assistants and even deep-fakes? If you are interested in this topic, please join us at this online Ask Me Anything session.

Unloading the Information “Overload” in Intensive Care

22 June 2022 10:00am11:00am
Prof John Fraser will explore how we can thrive in the midst of COVID 19 and provide an overview of the global collaboration of CCRG and the future of ICU.

Revisiting the Breeder’s Equation: Implications of our advancing understanding of trait genome-to-phenome relationships

26 May 2022 3:00pm4:00pm
Plant breeders are expected to have a working knowledge of the Breeder’s Equation. It is also expected that the Breeder’s Equation will be used as a framework to help optimise the design of their breeding program. This was relatively straightforward when breeding was based predominantly on selection for trait phenotypes. Today, breeders either use, or aspire to use, genomic information in many ways to improve the effectiveness of their breeding programs.

Ask Me Anything about Misinformation

12 May 2022 3:00pm5:00pm
How is misinformation and fake news generated? We'll have the answer at this Ask me anything session.

Beyond the Paddock: Enhancing food production through the integration of predictive digital agricultural systems

14 April 2022 12:00pm1:00pm
The issues of food security and sustainable agriculture are vital concerns to society and key topics in assessments of climate variability and change on productivity and food supplies. However, accurate and advance knowledge of the associated risk in crop production systems can mitigate some of the impacts of such causative threats. It is anticipated that such approaches will increasingly become more valuable in decision-making and lead to better preparedness in coping with the impact of extreme climate events leading to a reduction in the downside risk and more resilient agricultural food systems.

Agriculture meets AI

17 March 2022 4:00pm5:00pm
Artificial intelligence and the data sciences are enabling ‘Agriculture 4.0’. In 2020, agrifood tech startups raised more than $30 billion in investment. Many of these innovations are deployed in agriculture research, supporting new sustainable solutions that keep us fed. Professor Scott Chapman will discuss some of these digital and predictive agriculture technologies.

Ask Me Anything about what we can predict from social media with AI

15 March 2022 3:00pm5:00pm
Ever wondered how social media impacts on our society? Be part of this riveting Ask me anything session to get your answers.
AI stock graphic

2021 UQ Workshop on Artificial Intelligence

10 December 2021 9:00am5:00pm
Artificial Intelligence (AI) is receiving widespread attention around the world, and this workshop brought academics and research from around UQ together to share knowledge, explore synergies and develop collaborations around AI.

Personalised care of musculoskeletal pain: The potential of AI

1 December 2021 4:00pm5:00pm
Musculoskeletal pain conditions, including low back pain, are the leading cause of disability internationally. Recent work has begun to expose features that have the potential to guide personalisation of treatment, but the challenge to disentangle the complexity of the condition is immense. Artificial intelligence will need to play a role.

Ask Me Anything about Face Recognition

19 October 2021 4:00pm6:00pm
What is your question about Face Recognition? We'll have the answer at this Ask me anything session.

Bridging the Gap between Text and Knowledge

12 October 2021 4:00pm5:00pm
Sophia Ananiadou will describe NLP methods for the extraction of structured representations from text for downstream applications while addressing challenges of information extraction tasks.

Fairness, interpretability and diverse datasets are not enough – getting specific about algorithmic bias

15 July 2021 3:00pm4:00pm
The concept of "biased data" is often too generic to be useful.  Through a series of cases studies, we will explore what algorithmic bias is, different types (with different causes), and debunk some common misconceptions.  We will cover why algorithmic bias is a problem worth addressing and some steps towards solutions.