Linkage Infrastructure, Equipment And Facilities - Grant ID: LE130100156
Funder
Australian Research Council
Funding Amount
$210,000.00
Summary
Computational infrastructure for machine learning in computer vision. The many trillions of images stored on computers around the world, including more than 100 billion on Facebook alone, represent exactly the information needed to develop artificial vision. All we need do is extract it. This project will develop the computational infrastructure required to allow Australian researchers to achieve this goal.
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE160100090
Funder
Australian Research Council
Funding Amount
$250,000.00
Summary
Computational infrastructure for developing deep machine learning models. Computational infrastructure for developing deep machine learning models:
The computational infrastructure for developing deep machine learning models aims to enable new developments in machine learning of deep neural network models by providing the specialised computing necessary to train and evaluate the networks. In the last three years, deep networks have smashed previous performance ceilings for tasks such as object ....Computational infrastructure for developing deep machine learning models. Computational infrastructure for developing deep machine learning models:
The computational infrastructure for developing deep machine learning models aims to enable new developments in machine learning of deep neural network models by providing the specialised computing necessary to train and evaluate the networks. In the last three years, deep networks have smashed previous performance ceilings for tasks such as object recognition in images, speech recognition and automatic translation, bringing the prospect of machine intelligence closer than ever. Modern machine learning techniques have had huge impact in the last decade in fields such as robotics, computer vision and data analytics. The facility would enable Australian researchers to develop, learn and apply deep networks to problems of national importance in robotic vision and big data analytics. Read moreRead less
ARC Centre of Excellence for Robotic Vision. Robots are vital to Australia's future prosperity in the face of high relative wages, low or decreasing productivity, and impending labour shortages. However the work and workplaces of our most important industries are unstructured and changeable and current robots are challenged by their inability to quickly, safely and reliably "see" and "understand" what is around them. The Centre's research will create the fundamental science and technologies th ....ARC Centre of Excellence for Robotic Vision. Robots are vital to Australia's future prosperity in the face of high relative wages, low or decreasing productivity, and impending labour shortages. However the work and workplaces of our most important industries are unstructured and changeable and current robots are challenged by their inability to quickly, safely and reliably "see" and "understand" what is around them. The Centre's research will create the fundamental science and technologies that will allow robots to see as we do, and overcome the last barrier to the ubiquitous deployment of robots into society for the benefit of all.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
Special Research Initiatives - Grant ID: SR180100005
Funder
Australian Research Council
Funding Amount
$1,225,000.00
Summary
Remediation of PFAS contaminated soil using soil washing and immobilisation. This project aims to assess the applicability of soil washing and immobilisation as cost-effective techniques for the remediation of per- and poly-fluroalkyl substance (PFAS) contaminated Australian soils. The project expects to establish the efficacy of the remediation of a range of PFASs, including many polyfluorinated precursors of perfluorinated, chemically-persistent legacy pollutants which are of concern. The proj ....Remediation of PFAS contaminated soil using soil washing and immobilisation. This project aims to assess the applicability of soil washing and immobilisation as cost-effective techniques for the remediation of per- and poly-fluroalkyl substance (PFAS) contaminated Australian soils. The project expects to establish the efficacy of the remediation of a range of PFASs, including many polyfluorinated precursors of perfluorinated, chemically-persistent legacy pollutants which are of concern. The project will provide a scientific basis for understanding the benefits and limitations associated with soil washing and immobilisation techniques and a more comprehensive understanding of future liabilities associated with formation of PFASs from precursors remaining in remediated soils. Collaboration with stakeholders will ensure benefits are captured both commercially and environmentally, as well as removing a potential and on-going health threat to communities exposed to these contaminants.Read moreRead less
Applying search theory for eradicating invasive species. Invasive species have major economic and environmental impacts in Australia and are a major cause of extinctions worldwide. Monitoring is crucial for the timely control of invasive species in sensitive environments. Early detection increases the probability of eradication and increased accuracy in detection reduces the impact of control programs on non-target species. Efficient monitoring also is crucial in determining whether eradication ....Applying search theory for eradicating invasive species. Invasive species have major economic and environmental impacts in Australia and are a major cause of extinctions worldwide. Monitoring is crucial for the timely control of invasive species in sensitive environments. Early detection increases the probability of eradication and increased accuracy in detection reduces the impact of control programs on non-target species. Efficient monitoring also is crucial in determining whether eradication has succeeded. Search Theory has been applied for over 60 years in a wide range of non-biological monitoring problems, resulting in large increases in target detection rates. Gains of a similar magnitude in invasive species detection would greatly enhance Australia's capacity to manage these threats.Read moreRead less
ARC Centre of Excellence for Carbon Science and Innovation. ARC Centre of Excellence for Carbon Science and Innovation. This Centre aims to develop carbon-based catalysts for clean energy, CO2 capture, and green chemistry to reduce emissions. The Centre expects to use pioneering data-guided atomic-precision synthesis and multiscale analysis to transform fundamental science of carbon materials. Expected outcomes of this Centre will benefit new technologies for energy, environmental, and green che ....ARC Centre of Excellence for Carbon Science and Innovation. ARC Centre of Excellence for Carbon Science and Innovation. This Centre aims to develop carbon-based catalysts for clean energy, CO2 capture, and green chemistry to reduce emissions. The Centre expects to use pioneering data-guided atomic-precision synthesis and multiscale analysis to transform fundamental science of carbon materials. Expected outcomes of this Centre will benefit new technologies for energy, environmental, and green chemical industries by utilising abundant sunlight, seawater, and waste feedstocks. This should provide significant benefits, through industry collaborations, our new world-leading capacity will train a next generation of game changers to empower emerging carbon industries to solve grand socio-economic challenges, ultimately meeting zero-carbon emissions targets.Read moreRead less
Industrial Transformation Training Centres - Grant ID: IC230100027
Funder
Australian Research Council
Funding Amount
$5,000,000.00
Summary
ARC Training Centre in Plant Biosecurity. The ARC Training Centre in Plant Biosecurity aims to deliver a solution for Australia’s increasing biosecurity risk through generational change in its workforce coupled with breakthrough technologies. It will launch an innovative training program for future leaders who will build relationships with end users and engage meaningfully with communities for effective implementation strategies. Expected outcomes include a cohort of highly skilled graduates tha ....ARC Training Centre in Plant Biosecurity. The ARC Training Centre in Plant Biosecurity aims to deliver a solution for Australia’s increasing biosecurity risk through generational change in its workforce coupled with breakthrough technologies. It will launch an innovative training program for future leaders who will build relationships with end users and engage meaningfully with communities for effective implementation strategies. Expected outcomes include a cohort of highly skilled graduates that will innovate novel diagnostic technologies, enable data-driven decision platforms and address barriers to biosecurity adoption. This suite of graduates and technologies will transform the plant biosecurity sector to protect Australia’s $5.7 trillion natural and productive ecosystems.Read moreRead less
ARC Research Network for Understanding and Managing Australian Biodiversity. Biodiversity research is strong in Australia but is highly uncoordinated and, along with recent major breakthroughs in both theory and techniques, has highlighted the need for a Network to properly integrate research and focus it on the most appropriate scale. This Network aims to bring together a diverse spectrum of highly experienced and early career researchers to pool their ideas and expertise to allow them to deter ....ARC Research Network for Understanding and Managing Australian Biodiversity. Biodiversity research is strong in Australia but is highly uncoordinated and, along with recent major breakthroughs in both theory and techniques, has highlighted the need for a Network to properly integrate research and focus it on the most appropriate scale. This Network aims to bring together a diverse spectrum of highly experienced and early career researchers to pool their ideas and expertise to allow them to determine how best to describe Australia's current biodiversity and the biological and environmental history leading up to the present. A major outcome will be the ability to predict the impacts of environmental change on biodiversity to assist management decisions across Australia, with lessons of global importance.Read moreRead less