Learning Software Security Analysers with Imperfect Data. This project aims to systematically investigate next-generation learning-based software security analysis to detect vulnerabilities in real-world large-scale software. The expected learning-based foundation will support the handling of imperfect data in order to provide a precise, scalable and adaptive security analysis of the critical software components, thus capturing important security vulnerabilities missed by existing approaches. Th ....Learning Software Security Analysers with Imperfect Data. This project aims to systematically investigate next-generation learning-based software security analysis to detect vulnerabilities in real-world large-scale software. The expected learning-based foundation will support the handling of imperfect data in order to provide a precise, scalable and adaptive security analysis of the critical software components, thus capturing important security vulnerabilities missed by existing approaches. The success of this project will further enhance the international competitiveness of Australian research in this important field and will benefit any Australian industry and business where software systems are deeply-rooted, such as transportation, smart homes, medical devices, defence and finance.Read moreRead less
Generative Visual Pre-training on Unlabelled Big Data. This project aims to develop a generative visual pre-training of large-scale deep neural networks on unlabelled big data. Developing pre-trained visual models that are accurate, robust, and efficient for downstream tasks is a keystone of modern computer vision, but it poses challenges and knowledge gaps to existing unsupervised representation learning. Expected outcomes include new theories and algorithms for unsupervised visual pre-training ....Generative Visual Pre-training on Unlabelled Big Data. This project aims to develop a generative visual pre-training of large-scale deep neural networks on unlabelled big data. Developing pre-trained visual models that are accurate, robust, and efficient for downstream tasks is a keystone of modern computer vision, but it poses challenges and knowledge gaps to existing unsupervised representation learning. Expected outcomes include new theories and algorithms for unsupervised visual pre-training, which are anticipated to deepen our understanding of visual representation and make it easier to build and deploy computer vision applications and services. Examples of benefits include modernising machines in manufacturing and farming with visual intelligence. Read moreRead less
Autoimmune-based thrombocytopenia can be a life-threatening adverse event associated with viral load, surgery, drug therapies or the use of the anticoagulant, heparin. This grant will define mechanisms of anti-platelet antibody-dependent platelet activation and assess shedding of platelet-specific glycoprotein (GP)VI as an immediate consequence of this activation, provide a new strategy for evaluating risk of thrombosis in HIT.
Heparin-induced Thrombocytopenia And Thrombosis: Better Understanding Of Pathogenesis And Improving Diagnosis And Treatment
Funder
National Health and Medical Research Council
Funding Amount
$653,137.00
Summary
Heparin, a widely used drug, can cause an adverse effect which results in a fall of the platelet count and the development of serious thrombosis. This drug complication is mediated by an immune mechanism. This proposal aims to provide a better understanding of the disease mechanism. It also aims to develop a new test that will improve the diagnosis, and to produce a novel drug that will effectively suppress the immune reaction and improve the treatment.
Mechanisms And Therapies In Cardiovascular Disease
Funder
National Health and Medical Research Council
Funding Amount
$8,360,700.00
Summary
Cardiovascular disease (CVD) claims 1 person every 10 min in Australia and causes 1 in 3 deaths worldwide. The molecular and cellular processes underlying atherosclerosis, vascular injury and thrombosis are highly complex and not well understood. A multifaceted approach is needed to effectively address these key challenges. This Program brings together world experts in these areas to interrogate gaps in our basic understanding of CVD, and to develop novel therapies for CVD patients by exploiting ....Cardiovascular disease (CVD) claims 1 person every 10 min in Australia and causes 1 in 3 deaths worldwide. The molecular and cellular processes underlying atherosclerosis, vascular injury and thrombosis are highly complex and not well understood. A multifaceted approach is needed to effectively address these key challenges. This Program brings together world experts in these areas to interrogate gaps in our basic understanding of CVD, and to develop novel therapies for CVD patients by exploiting new knowledge through integrated research.Read moreRead less
The rapid interactions of circulating human blood platelets is critical to prevent bleeding, but can cause thrombotic diseases (heart attack, stroke). These highly regulated interactions involve specific adhesive proteins. Our studies will define factors regulating platelet interactions. Imaging the thrombotic process will quantify platelet function at an unprecedented resolution and we have a panel of new candidate reagents that will be assessed for antithrombotic potential.
Exploiting Geometries of Learning for Fast, Adaptive and Robust AI. This project aims to uniquely exploit geometric manifolds in deep learning to advance the frontier of Artificial Intelligence (AI) research and applications in cybersecurity and general cognitive tasks. It expects to develop new theories, algorithms, tools, and technologies for machine learning systems that are fast, adaptive, lifelong and robust, even with limited supervision. Expected outcomes will enhance Australia's capabili ....Exploiting Geometries of Learning for Fast, Adaptive and Robust AI. This project aims to uniquely exploit geometric manifolds in deep learning to advance the frontier of Artificial Intelligence (AI) research and applications in cybersecurity and general cognitive tasks. It expects to develop new theories, algorithms, tools, and technologies for machine learning systems that are fast, adaptive, lifelong and robust, even with limited supervision. Expected outcomes will enhance Australia's capability and competitiveness in AI, and deliver robust and trustworthy learning technology. The project should provide significant benefits not only in advancing scientific and translational knowledge but also in accelerating AI innovations, safeguarding cyberspace, and reducing the burden on defence expenses in Australia.Read moreRead less
This program of research is firmly focussed on the basic mechanisms involved in normal functioning of cells and tissues, followed by a step by step process to understand the abnormal or the diseased. The disease states we are investigating involve the blood and blood vessels, and when there is malfunction it may contribute to conditions as diverse as atherosclerosis, thrombosis, inflammation and cancer. The program thus addresses the fundamentals of diseases which are responsible for most deaths ....This program of research is firmly focussed on the basic mechanisms involved in normal functioning of cells and tissues, followed by a step by step process to understand the abnormal or the diseased. The disease states we are investigating involve the blood and blood vessels, and when there is malfunction it may contribute to conditions as diverse as atherosclerosis, thrombosis, inflammation and cancer. The program thus addresses the fundamentals of diseases which are responsible for most deaths in our society. We will use technology which is proven to provide precise information, the molecular and biochemical processes responsible for cell function (or malfunction). However in each individual project there will be a clear path to a clinical use, diagnostic or therapeutic. Indeed in a number of the components of the program there are already potential treatments and diagnostics in development and trial.Read moreRead less