Latest events

ARC Grant Writing Workshop

Date: Mon, 30 Sep 2024, 2:30 pm - 4:30 pm
Location: AIML

This session is designed specifically for Early to Mid-Career Researchers (EMCRs) looking to enhance their grant writing skills. The workshop will be led by Natalie Betts, a grant writing expert with extensive experience. Natalie's career has spanned various fields, providing her with invaluable experience in grant preparation. She spent 2.5 years as a management consultant at McKinsey & Co, learning about strategic positioning, decision-making, and budget modelling. She also worked for 6 years as a part-time technical writer for a medical device company and spent 10 years as a postdoctoral researcher at the Waite Campus, writing her own grants and papers. For the past 7 years, Natalie has been working as a grant editor, with the last 4 years in a full-time freelance position.

AIML Research Seminar: Robust Fitting on a Gate Quantum Computer

Date: Tue, 17 Sep 2024, 10:30 am - 11:15 am
Location: AIML

Abstract: This talk will introduce our paper recently accepted as Oral to ECCV2024. Gate quantum computers generate significant interest due to their potential to solve certain difficult problems such as prime factorization in polynomial time. Computer vision researchers have long been attracted to the power of quantum computers. Robust fitting, which is fundamentally important to many computer vision pipelines, has recently been shown to be amenable to gate quantum computing. The previous proposed solution was to compute Boolean influence as a measure of outlyingness using the Bernstein-Vazirani quantum circuit. However, the method assumed a quantum implementation of an L-infinity feasibility test, which has not been demonstrated. In our paper, we take a big stride towards quantum robust fitting: we propose a quantum circuit to solve the L-infinity feasibility test in the 1D case, which allows us to demonstrate for the first time quantum robust fitting on a real gate quantum computer, the IonQ Aria. We also show how 1D Boolean influences can be accumulated to compute Boolean influences for higher-dimensional non-linear models, which we experimentally validate on real benchmark datasets. This talk is intended for a computer vision audience with minimal quantum physics background.

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 Australian Information Industry Association (AIIA) SA Sundowner: AI Is Here 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 Asian Development Bank (ADB) 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 University of Adelaide’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.