Upcoming events

AIML Research Seminar - Professor Erik Dam

Date: Tue, 11 Feb 2025
Location: AIML

There are thousands of 3D medicals scans available with potential for understanding disease progression and phenotypes. However, without accurate and detailed annotations, machine learning methods are challenged. In particular, biomechanics models need a dense, anatomically meaningful coordinate system to simulate physiology or to do focal statistics across populations or across time. One such analysis is to understand progression of knee osteoarthritis, through statistics of shape models including bones, cartilages, and ligaments derived from thousands of knee MRI.

Lifeblood Information Session

Date: Fri, 21 Feb 2025, 11:00 am - 12:00 pm
Location: AIML

Did you know that a plasma donation is needed in Australia every 18 seconds? Giving plasma is an easy, rewarding, and truly life-saving way we can give back to the community. Andrew Chadwick from Lifeblood Australia visited AIML to give a presentation to discuss how donors can get engaged with Lifeblood Australia, highlighting the eligibility requirements needed in order to donate plasma.

AIML Special Presentation: Data-centric Computer Vision – A Practice

Date: Mon, 24 Feb 2025, 1:30 pm - 2:30 pm
Location: AIML

Dr Xin Yu is a senior lecturer at the University of Queensland. He is an Australian Research Council (ARC) Discovery Early Career Researcher Award 2023-2025 (DECRA) recipient and an awardee of the prestigious Google Research Scholar Program in 2021. He received his PhD degrees from both the Australian National University and Tsinghua University. His research interests involve various Computer Vision and Machine Learning topics, especially in visual data quality enhancement and recovery, human movement understanding, medical imaging analysis, and multimodal data understanding.

AIML Research Seminar: Gaëlic Bechu

Date: Tue, 25 Feb 2025, 10:30 am - 11:15 am
Location: AIML

Gaëlic Bechu is a PhD student at the Centre for Augmented Reasoning, focusing on the role of AI in embodied systems, including robotics. In this seminar, he will share the latest developments in his PhD research, providing insights into his ongoing work and its applications.

AIML Special Presentation: HARNESS: Hierarchical Abstractions and Reasoning for Neuro-Symbolic Robotic Systems—From Perception to Autonomy

Date: Fri, 28 Feb 2025, 10:15 am - 11:15 am
Location: AIML

In this talk, Dr Rezatofighi will present HARNESS: Hierarchical Abstractions and Reasoning for Neuro-Symbolic Robotic Systems—From Perception to Autonomy, showcasing our work under the DARPA Assured Neuro-symbolic Reasoning (ANSR) program. This project focuses on building fully autonomous systems that unite perception, reasoning, and planning through neuro-symbolic frameworks, emphasising explainability, performance robustness and assurance.

CAR CATALYST Information Session

CAR Catalyst participants at the AIML building

Date: Fri, 7 Mar 2025
Location: AIML building

AIML has joined forces with deep tech, venture capitalist firm Main Sequence as its preferred partner to co-lead the Centre for Augmented Reasoning’s (CAR) Catalyst Program. This innovative initiative aims to significantly boost participants by nurturing their entrepreneurial goals and accelerating their path from product development to market entry.

AIML Special Presentation: ARC Discovery Project on Hyperspectral Video Tracking

Date: Fri, 21 Mar 2025, 11:00 am - 12:00 pm
Location: AIML

Video tracking is a fundamental AI technology with more than 100 billion dollars market values. Traditional tracking models based on colour or grayscale videos have inherent limitations in detecting and tracking objects. Focused on challenging scenarios faced by conventional camera systems, this research in the past five years harnesses the capability of hyperspectral video cameras in material identification within and beyond the visible spectrum to capture and model the spectral, spatial, and temporal information for object tracking. This talk gives an overview of hyperspectral imaging technology and how it is used to develop hyperspectral tracking methods, which form the foundation of a recently funded ARC Discovery Project.

AIML Research Seminar: The Search for LLM-Based Disinformation

Date: Tue, 25 Mar 2025, 11:00 am - 11:30 am
Location: AIML

Disinformation is one of the biggest threats to social progress and stability. Lies and post-truths radicalize decision-making and pervert knowledge. Accordingly, there has been an explosion of research seeking to detect disinformation in online content. Here, the frontier of disinformation detection research leverages a variety of ML techniques. Yet, a recent meta-analysis discovered existing techniques are only 79% accurate. More problematic is existing techniques only work against generated artifacts. Meaning, articles, tweets, and Reddit posts are in the wild before detection occurs. We need a technique to detect potential disinformation in the ML models before content gets loose. Fortunately, work is underway attempting to construct such a technique. This presentation will bring you up to speed on misinformation concepts. We will cover existing machine learning detection methods. The feature will be a progress snapshot of working at the model level. Keep in mind this is not only about fake news. No. Detecting misinformation is about preserving all human knowledge.

AI on the Ground: The Great Chatbot Debate Watch Party

Date: Wed, 26 Mar 2025, 12:30 pm - 2:30 pm
Location: AIML

Chatbots based on large language models (LLMs), like ChatGPT, answer sophisticated questions, pass professional exams, analyze texts, generate everything from poems to computer programs, and more. But is there genuine understanding behind what LLMs can do? Do they really understand our world? Or, are they a triumph of mathematics and masses of data and calculations simulating true understanding?

AIML Special Presentation: Continuum Robots for Minimally Invasive Surgery: Smaller, Softer, and Smarter

Date: Thu, 27 Mar 2025, 11:30 am - 12:30 pm
Location: AIML

Surgical robots have achieved commercial success and are experiencing rapid global growth. The robotics community continues to push the boundaries of safety, ease of use, and minimally invasive techniques in surgical robots. Continuum robots, with their intrinsic flexibility and miniature sizes, are emerging as ideal candidates for the next generation of minimally invasive surgical systems. Their development, however, presents three major challenges: design and manufacturing, human-robot interaction, and intelligent perception. In this talk, Dr Liao Wu will share his efforts to overcome these challenges, focusing on advancements that make surgical continuum robots smaller, softer, and smarter.