Modelling human brain development with stem cells and biomaterials. With limited resources to directly study and advance our understanding of human neural development, this
proposal will establish models of 4 key stages. Employing innovative, interdisciplinary approaches, biomaterials will be fabricated to provide structural and chemical support for human stem cells during: (i) neural induction, (ii) specification into neuronal progenitor subpopulations, (iii) neuronal maturation and integration ....Modelling human brain development with stem cells and biomaterials. With limited resources to directly study and advance our understanding of human neural development, this
proposal will establish models of 4 key stages. Employing innovative, interdisciplinary approaches, biomaterials will be fabricated to provide structural and chemical support for human stem cells during: (i) neural induction, (ii) specification into neuronal progenitor subpopulations, (iii) neuronal maturation and integration into complex neural networks as well as, (iv) the organisation of neurons into larger 3-dimensional brain structures, namely folding of the human cortex. Further, biomaterials developed here have commercialisation potential, targeted at standardizing the culturing of human stem cells to defined neural populations.
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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
Engineering a technology platform for organoids. Protein delivery technologies hold great potential to improve organoids (miniature organs used as in vitro models), allowing a deep understanding of development. However, current limitations must be overcome - particularly cost, precision, and efficacy. This project will engineer delivery materials to improve the efficacy of organoids, allowing control over the location and timing of protein delivery. Outcomes will include a technology platform o ....Engineering a technology platform for organoids. Protein delivery technologies hold great potential to improve organoids (miniature organs used as in vitro models), allowing a deep understanding of development. However, current limitations must be overcome - particularly cost, precision, and efficacy. This project will engineer delivery materials to improve the efficacy of organoids, allowing control over the location and timing of protein delivery. Outcomes will include a technology platform of immediate use in the agriculture sector and for animal model alternatives. The benefit will be widespread, ensuring the growth and sustainability of our health and agriculture sector. The project will increase public understanding of protein delivery technologies, aiding in technology adoption.Read moreRead less
Industrial Transformation Training Centres - Grant ID: IC170100030
Funder
Australian Research Council
Funding Amount
$4,133,659.00
Summary
ARC Training Centre in Cognitive Computing for Medical Technologies. The ARC Training Centre in Cognitive Computing for Medical Technologies aims to create a workforce that is expert in developing, applying and interrogating cognitive computing technologies in data-intensive medical contexts. This will facilitate the next generation of data-driven and machine learning-based medical technologies. The Centre will provide a world-class industry-driven research training environment for PhD students ....ARC Training Centre in Cognitive Computing for Medical Technologies. The ARC Training Centre in Cognitive Computing for Medical Technologies aims to create a workforce that is expert in developing, applying and interrogating cognitive computing technologies in data-intensive medical contexts. This will facilitate the next generation of data-driven and machine learning-based medical technologies. The Centre will provide a world-class industry-driven research training environment for PhD students and postdoctoral researchers. These researchers will lead the medical technology industry into a new era of data-driven personalised and precision medical devices and applications. The Centre will result in the development of capabilities in the core technologies of machine learning and the practical application of cognitive computing in the area of health.Read moreRead less
Industrial Transformation Research Hubs - Grant ID: IH180100002
Funder
Australian Research Council
Funding Amount
$5,000,000.00
Summary
ARC Research Hub for Driving Farming Productivity and Disease Prevention. The ARC Research Hub for Driving Farming Productivity and Disease Prevention aims to increase farm production and disease prevention through advancing and transferring new artificial intelligence technologies into industrial deployment. The Hub will combine machine vision, machine learning, software quality control, engineering, biology, and farming industries to develop technologies to build more intelligent systems. Thes ....ARC Research Hub for Driving Farming Productivity and Disease Prevention. The ARC Research Hub for Driving Farming Productivity and Disease Prevention aims to increase farm production and disease prevention through advancing and transferring new artificial intelligence technologies into industrial deployment. The Hub will combine machine vision, machine learning, software quality control, engineering, biology, and farming industries to develop technologies to build more intelligent systems. These dynamic systems will help determine what goal to achieve and the most efficient plan to achieve it. This Hub is expected to contribute to higher farming efficiency, lower production costs and fewer disease risks, giving the Australian industry new business opportunities and an international competitive advantage.Read moreRead less
Precision Pollination: Data-driven enhancements to boost crop yield. The project aims to transform industrial crop pollination from an intuitive domain to one where decisions are based on sound data and best-practice principles. It proposes to achieve this modernisation of global pollination practice by developing novel technologies to operate a three-stage loop: honeybee pollination monitoring, simulation-based forecasting, and management. This is intended to ensure that the capability of honey ....Precision Pollination: Data-driven enhancements to boost crop yield. The project aims to transform industrial crop pollination from an intuitive domain to one where decisions are based on sound data and best-practice principles. It proposes to achieve this modernisation of global pollination practice by developing novel technologies to operate a three-stage loop: honeybee pollination monitoring, simulation-based forecasting, and management. This is intended to ensure that the capability of honeybees to provide essential ecosystem services is informed by transferable, standardised data acquisition and management techniques that maintain bee health and maximise pollination. The anticipated outcomes are higher fruit yields and quality, and a beneficial step-change in industry productivity and profitability.Read moreRead less