Latest events

AI on the Ground Seminar: What if you could start over with what you know now?

Date: Fri, 27 Jun 2025, 10:30 am - 11:30 am
Location: AIML

This session explores the transition from academic AI prototypes to operational systems within clinical environments. Drawing from experiences at SickKids and now Seattle Children’s, this strategic and reflective talk will share key insights from previous successes and failures, with the goal of fostering dialogue and community learning around applied clinical AI.

AIML Connect Fridays: Bombshell – The Hedy Lamarr Story

Date: Fri, 20 Jun 2025, 4:00 pm - 5:30 pm
Location: AIML

Join us for AIML Connect Fridays to watch Bombshell – The Hedy Lamarr Story. In this documentary, discover the untold story of Hedy Lamarr: Hollywood star, scientific visionary, and the woman behind one of the most valuable technological breakthroughs of the 20th century.

AIML Research Seminar: Adversarial attacks against machine learning models for satellite imagery

Date: Tue, 3 Jun 2025, 10:30 am - 11:15 am
Location: AIML

Satellites utilise a wide range of sensing modalities to collect data for applications such as earth observation, navigation and disaster management. Hyperspectral imagery is one such modality that captures a detailed spectral response of scenes across the electromagnetic spectrum. This type of imagery, however, generates vast amounts of data which requires processing to extract meaningful insights. To permit real-time decision making, edge computing – performed directly onboard a satellite – is used to process data before transmission to ensure only essential data is downlinked, ensuring fast response times. This is critical for time-sensitive applications including disaster detection and military surveillance. Deep neural networks (DNNs) are increasingly being used to automate this processing onboard satellites due to their ability to detect objects and anomalies faster and more accurately than traditional methods. However, DNNs are susceptible to adversarial attack. These attacks involve placing engineered objects into the scene of an image that cause deep neural networks to produce incorrect outputs. This research explores the vulnerability of DNNs to adversarial attack in satellite imagery and investigates methods to enhance the reliability of DNNs in the presence of such threats.

Centre for Augmented Reasoning (CAR) Legacy Event

Date: Fri, 30 May 2025, 9:00 am - 5:30 pm
Location: AIML

The CAR Legacy showcased the achievements and impact of the Centre for Augmented Reasoning, a significant initiative funded by the Australian Government Department of Education in 2021, which helped transform Australia's capability in Machine Learning and Computer Vision.

CMS Research Seminar: Provable Security and Verification – From Theory to Practice

Date: Thu, 29 May 2025, 1:15 pm - 3:00 pm
Location: Ingkarni Wardli

In this talk, Professor Ioana Boureanu gave an overview of her work that covered aspects of cryptographic models and proofs, as well as logic-based formal verification for security and privacy, primarily in cryptographic protocols. Professor Boureanu discussed theoretical developments as well as applied verification, highlighting their impact on standardisation processes, for instance in the payments industry and mobile networks.

Stone & Chalk Ecosystem Mixer in Artificial Intelligence

Date: Fri, 23 May 2025, 4:30 pm - 6:30 pm
Location: Stone & Chalk

The packed event was held at Stone & Chalk and was an opportunity for some of the smartest, most innovative minds in the Australian AI space to come together to network and have a bit of fun. The gathering featured tech demonstrations, limitless opportunities for collaboration, and a spirited discussion on responsible AI from AIML's own Professor Javen Qinfeng Shi, Interim Director of the Responsible AI Research Centre (RAIR).

AIML Research Seminar: VSLAM-LAB – A Comprehensive Framework for Visual SLAM Baselines and Datasets

Date: Tue, 20 May 2025, 10:30 am - 11:15 am
Location: AIML

Visual SLAM (Simultaneous Localization and Mapping) research is often hindered by fragmented toolchains, inconsistent evaluation protocols, and complex system setups. In this seminar, Dr. Alejandro Fontan will present VSLAM-LAB, a unified and extensible framework designed to streamline the development, benchmarking, and deployment of Visual SLAM systems. VSLAM-LAB simplifies the end-to-end SLAM pipeline—from automated dataset downloading and formatting to standardized experiment execution and trajectory evaluation—using a single command-line interface. The framework supports a wide array of state-of-the-art SLAM methods and datasets, enabling reproducible research and facilitating fair, comprehensive comparisons.

AIML Special Presentation: AI Coexistence – Balancing Productivity and Societal Impact

Date: Tue, 13 May 2025, 10:30 am - 11:30 am
Location: AIML

Professor Mohammad Patwary explores artificial intelligence by addressing both its transformative potential and inherent risks. He frames AI deployment as essential but emphasises the need for careful evaluation throughout its lifecycle. He draws parallels between developing AI systems and nurturing human intelligence, asserting that both require similar care and accountability, discussing case studies from the Digital Innovation and Solution Centre (DISC) to demonstrate AI applications across industries such as manufacturing, healthcare, and agriculture.

AIML Special Presentation: Applications of Artificial Intelligence and Machine Learning in Advancing Cancer Diagnosis and Prognosis

Date: Fri, 9 May 2025, 10:30 am - 11:30 am
Location: AIML

Dr Maryam Arshad explores how advanced healthcare systems around the world are integrating artificial intelligence (AI) and machine learning (ML) to improve patient care. Her Fellowship focuses on identifying how these countries are addressing key challenges, such as low efficiency, poor data quality, clinician readiness, and algorithmic bias, that currently limit the effectiveness of ML tools in the UK. By examining successful international strategies, Dr Arsham aims to inform innovation and promote patient-centred, efficient healthcare within the NHS and broader UK medical community.

AIML Research Seminar: Sensing and Lasing with Multimode Fibre Optics

Date: Tue, 6 May 2025, 10:30 am - 11:30 am
Location: AIML

When light propagates in multimode optical fibres, it is confined in many orthogonal modes whose transverse profiles are propagation-invariant. This high dimensional modal space allows great flexibility in processing the output information, as well as controlling the input information for various purposes. In this talk, I will discuss a coherent suite of topics including (i) processing the output information from a multimode fibre in the context of sensing using machine learning, (ii) controlling the input information into multimode fibre as a mean of tailoring the output for laser applications, and (iii) the introduction of physical neural network, an emerging field in complex optics toward realisation of energy-efficient and low-latency machine learning.

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