New Lead-Free Brass Solutions for Drinking Water Applications. The aim of this Linkage Project is to provide viable material solutions to address the health problem of Lead-contamination in drinking water arising from Leaded-brass plumbing products and the impact Lead-removal from brass will have on the brass industry. In order to achieve this, this project engages leading multidisciplinary researchers along with Australian and international industry partners from across the brass industry suppl ....New Lead-Free Brass Solutions for Drinking Water Applications. The aim of this Linkage Project is to provide viable material solutions to address the health problem of Lead-contamination in drinking water arising from Leaded-brass plumbing products and the impact Lead-removal from brass will have on the brass industry. In order to achieve this, this project engages leading multidisciplinary researchers along with Australian and international industry partners from across the brass industry supply and sales network. This project seeks to identify and harness the key material-product attributes required to develop and implement new, lead-free alloy alternatives that meet health-compliance, production and commercial viability, that offer benefits across the industry network and health benefits to society.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
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
International collaboration in teaching and learning of Einsteinian physics. Following a previous project that showed that it is possible and beneficial to teach the modern Einsteinian paradigm of space, time, matter, light and gravity to students as young as 8 years old, this project aims to test and evaluate a seamless progression of learning modern physics through primary and secondary school. It will sequence, integrate and test research-informed teaching and learning materials, and assessme ....International collaboration in teaching and learning of Einsteinian physics. Following a previous project that showed that it is possible and beneficial to teach the modern Einsteinian paradigm of space, time, matter, light and gravity to students as young as 8 years old, this project aims to test and evaluate a seamless progression of learning modern physics through primary and secondary school. It will sequence, integrate and test research-informed teaching and learning materials, and assessment instruments developed through a 7-nation collaboration. Research across 24 schools will be reviewed by a panel drawn from professional organisations and curriculum authorities, and learning resources will be widely disseminated, with view to worldwide introduction of Einsteinian science at school.Read moreRead less
Processing mathematics tasks: the nature and role of visual and non-visual reasoning in digital and non-digital environments. Within the next four years, it is likely that the National Assessment Plan for Literacy and Numeracy (NAPLAN) will be administered in a digital mode. This project identifies differences between the delivery of mathematics assessment in pencil-and-paper and computer-based modes. Primary students' mathematics reasoning is compared across these modes and to cohorts from Sing ....Processing mathematics tasks: the nature and role of visual and non-visual reasoning in digital and non-digital environments. Within the next four years, it is likely that the National Assessment Plan for Literacy and Numeracy (NAPLAN) will be administered in a digital mode. This project identifies differences between the delivery of mathematics assessment in pencil-and-paper and computer-based modes. Primary students' mathematics reasoning is compared across these modes and to cohorts from Singapore.Read moreRead less
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
David and Goliath - what planets can do to the stars that created them. We used to think that when stars expand during their old age, they would destroy all their close-by planets. Today we know that if a star swallows a Jupiter-like planet it can suffer indigestion. The project will study how star-planet interactions takes place, determine their impact on the lives of stars and glimpse at the future of our own solar system.
Spatial Cognition—Expressive Representation Formalisms and Effective Reasoning Mechanisms. The project will contribute significantly to the advancement of knowledge in breakthrough science in qualitative spatial reasoning and smart information use in geographic information systems. Expressive spatial languages are important in organising spatial knowledge, defining spatial query languages and guiding spatial data mining. Effective spatial reasoning mechanisms bring theory closer to applications ....Spatial Cognition—Expressive Representation Formalisms and Effective Reasoning Mechanisms. The project will contribute significantly to the advancement of knowledge in breakthrough science in qualitative spatial reasoning and smart information use in geographic information systems. Expressive spatial languages are important in organising spatial knowledge, defining spatial query languages and guiding spatial data mining. Effective spatial reasoning mechanisms bring theory closer to applications including consistency checking and spatial query pre-processing. The project will help in extracting knowledge from massive spatial databases, meeting the growing needs of naive users for spatial information and establishing Australia as a major player in spatial cognition research and in the development of geo-location services.Read moreRead less
Observe, Reflect, Improve: a tool to enrich Children’s Learning (ORICL). This project aims to address long-standing concerns about the quality of education and care for children during their critical first two years. It will introduce a promising, future-focused digital tool, co-designed with practitioners and providers of early childhood services, to support infant-toddler educators’ planning and practice. Building on ground-breaking pilot work, we will undertake a national implementation and e ....Observe, Reflect, Improve: a tool to enrich Children’s Learning (ORICL). This project aims to address long-standing concerns about the quality of education and care for children during their critical first two years. It will introduce a promising, future-focused digital tool, co-designed with practitioners and providers of early childhood services, to support infant-toddler educators’ planning and practice. Building on ground-breaking pilot work, we will undertake a national implementation and evaluation of the Observe, Reflect and Improve Children’s Learning (ORICL) tool. Expected outcomes include: enhanced pedagogical practices; enriched learning experiences for children birth-two; effective communication with families; and improved resourcing for providers of early childhood education and care services. Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0668421
Funder
Australian Research Council
Funding Amount
$650,000.00
Summary
A MEG-based cognitive neuroscience laboratory. At present there is no MEG system in Australia, whereas MEG systems are currently springing up in research institutions in many other countries across the globe. This project will enable Australia to remain at the forefront of research in the cognitive neurosciences, as well as provide training opportunities to Australian doctoral students and postdoctoral fellows in the use of MEG in research. Finally, the MEG laboratory will allow Australian resea ....A MEG-based cognitive neuroscience laboratory. At present there is no MEG system in Australia, whereas MEG systems are currently springing up in research institutions in many other countries across the globe. This project will enable Australia to remain at the forefront of research in the cognitive neurosciences, as well as provide training opportunities to Australian doctoral students and postdoctoral fellows in the use of MEG in research. Finally, the MEG laboratory will allow Australian researchers to fill important gaps in our understanding of several areas of cognitive neuroscience, including basic auditory and visual processing, the study of cognitive processing in schizophrenia and in children with dyslexia and/or specific language impairment.Read moreRead less