Latest events

AIML Special Presentation: Dr Kateryna Dugina

Date: Mon, 16 Sep 2024, 2:00 pm - 2:30 pm
Location: AIML

Dr Kateryna Dugina from the University of Nottingham spoke about leveraging X-Ray microCT and Image Segmentation techniques to explore grain internal structure.

AIML Connect Fridays: Rethinking Education and Assessments in Response to Technology Disruptions

Date: Fri, 13 Sep 2024, 4:00 pm - 5:00 pm
Location: AIML

Abstract: "There are many developments in information technology that could have had a major impact on the way we educate and assess, but basically have not had that impact. If you were to compare my medical study, for example, with the current medical programs, you’d be hard pressed to find any differences. But my study was 40 years ago (even before PCs) and the world has changed dramatically. Also, the students have become more technology afforded. But education and assessment still operate as if the student did NOT have 24/7 point of care access to a world of knowledge, instruction, communication, feedback and now generative AI. There is a tendency in higher education (and in other educational settings) to think that business as usual will be the norm and that only evolutionary changes will be needed. But this is not the case. Various non-higher educational organisations are already venturing into the lucrative education market and industries are exploring how technology can feasibly (and cost-effectively) allow them to educate ‘their own’, for example with AI-powered personal tutors. It is, therefore, too simplistic to think that a fundamental rethink of education and assessment won’t be needed, and that the industry will remain protected by government regulations. That is a risky strategy. Although using modern technology to facilitate and even augment existing education and assessment processes is appealing, it should be seen as a simple first step to create more space for thinking about radical changes. I will suggest some directions these changes may need to take."

Australian Information Industry Association (AIIA) SA Sundowner: AI Is Here

Date: Thu, 12 Sep 2024, 4:00 pm - 6:30 pm
Location: AIML

We were thrilled to have a full house at last night’s event, sponsored and hosted by the Australian Institute for Machine Learning (AIML). The energy in the room reflected a strong interest in adopting AI to drive innovation across South Australian businesses.

Asian Development Bank (ADB) Members Visit AIML for the ADB Digital, Climate, and Innovation Program

Date: Mon, 9 Sep 2024, 10:30 am - 11:30 am
Location: AIML

Members of the visited the Australian Institute for Machine Learning (AIML) as part of the ADB Digital, Climate, and Innovation Program, held in Adelaide from 9–11 September 2024. The goal of the visit was to explore how the ��˴�Ƭ’s AI and machine learning expertise could support ADB’s objectives in the Asia-Pacific region.

International Science Fair – Engineering the Future Student Group Visit AIML

Date: Wed, 4 Sep 2024, 9:50 am - 11:00 am
Location: AIML

The Australian Science and Mathematics School recently hosted an International Science Fair (ISF) with the theme "Engineering the Future." The event brought together up to 50 students and teachers from regional South Australia, Canada, England, Indonesia, Thailand, and Japan at AIML.

AIML Research Seminar: How Has AI/ML Accelerated Genomic Discovery?

Date: Tue, 3 Sep 2024, 10:30 am - 11:15 am
Location: AIML

Dr Denis Bauer is a government research scientist, adjunct professor at Macquarie University and an AWS Hero. Her unique approach of joining cloud-computing with deep biological domain knowledge translates research into impactful products that have been used for disease gene detection in Motor Neuron Disease and the COVID-19 vaccine development. She contributes to advisory committees and open-source software projects, as well as keynotes international IT and Medical conferences. She was recognized as Brilliant Women in Digital Health 2021 and Women in AI 2022. She has attracted more than $41M in funding to further life-science research and digital health.

Australian Information Industry Association (AIIA) Awards Finalists Visit AIML

AIML Business and Development Manager, Matthew Cliff, presents to the AIIA Awards finalists

Date: Thu, 29 Aug 2024, 10:45 am - 11:45 am
Location: AIML

AIML welcomed the finalists of the (AIIA) Awards with a tour of our institute. These finalists represent a diverse range of innovators from across Australia, including individuals, groups, government, and private organisations. Our Business and Development Manager, Matthew Cliff, led the tour showcasing AIML’s research innovations and addressed many enthusiastic questions on specific use cases of AI adoption across various industries.

AIML Special Presentation: Translating Running Gait Assessments to In-field Application Using Wearable Sensors

Date: Fri, 23 Aug 2024, 10:30 am - 11:15 am
Location: AIML

Dr Joel Fuller is a Sports Scientist and Physiotherapy researcher from Macquarie University. He has expertise in research areas related to biomechanics, wearable technology, performance enhancement and injury prevention. Joel presented findings from his most recent wearable technology research which used IMU systems to (1) identify fatigue onset in athletes during an intensive running training intervention and (2) identify and retrain runners at high risk of impact-related injuries. He described how his work is seeking to engage with machine learning and deep learning to enhance performance and injury prevention outcomes for athletes and explore potential avenues for research translation.

AIML Research Seminar: Embracing Changes in Deep Learning: Continual Learning with Augmented and Modularised Memory (with Pre-trained Models)

Date: Tue, 20 Aug 2024
Location: AIML

Conventional DL approaches focus on the end results on fixed datasets/scenarios and fail to handle the dynamically raised novel requirements in the real world. Continual learning (CL) aims to train deep neural networks (DNNs) to efficiently accumulate knowledge on dynamically arriving data and task streams like humans. The main challenges include how to enable DNNs to learn on data and task streams with non-stationary distributions without catastrophic forgetting. To ensure DNNs effectively retain past knowledge while accommodating future tasks with a balance between stability and plasticity, we explore CL techniques from the viewpoint of augmenting and modularising the memorisation of DNNs. Given pre-trained models, do we need continual learning or how should we use continual learning? This talk delved into investigating how to continually perform adaptive learning with the pre-trained models and how to continually enhance pre-trained models.

Department for Education visit

Yanyuan Qiao operates the AIML robot dog

Date: Thu, 8 Aug 2024
Location: AIML

AIML hosted over 100 secondary school students during the Education and School Tours at Lot Fourteen event hosted by the South Australian Department of Education.

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