A more intelligent knowledge-based system apprentice. Our previous techniques already had an impact on Australian industry, with five Australian companies marketing such technology, and for three of these it is a central technology. We expect an early uptake of the enhancements we propose by these companies, greatly increasing their international competitiveness against other rule technologies. Three of these companies are very recent, so we would expect other company uptake of the new enhance ....A more intelligent knowledge-based system apprentice. Our previous techniques already had an impact on Australian industry, with five Australian companies marketing such technology, and for three of these it is a central technology. We expect an early uptake of the enhancements we propose by these companies, greatly increasing their international competitiveness against other rule technologies. Three of these companies are very recent, so we would expect other company uptake of the new enhanced technology. In turn Australian companies using the technology will improve their competitiveness in an increasingly knowledge-based economy by being able to more rapidly and easily deploy knowledge-based systems. Our previous techniques have already had a significant impact in medical practice.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
Machine Assisted, Multi-scale Spatial and Temporal Observation and Modeling of Marine Benthic Habitats. The Integrated Marine Observing System (IMOS) science plans include sampling campaigns reliant on Autonomous Underwater Vehicle (AUV) Facility data and designed to address the issues of marine biodiversity quantification and assurance. The proposed research will directly enhance the effectiveness of these programs by speeding labour-intensive analyses, aggregating the results, and searching f ....Machine Assisted, Multi-scale Spatial and Temporal Observation and Modeling of Marine Benthic Habitats. The Integrated Marine Observing System (IMOS) science plans include sampling campaigns reliant on Autonomous Underwater Vehicle (AUV) Facility data and designed to address the issues of marine biodiversity quantification and assurance. The proposed research will directly enhance the effectiveness of these programs by speeding labour-intensive analyses, aggregating the results, and searching for ecological patterns on a national scale that would be difficult to identify using traditional approaches tuned to process-scale studies. Australian society stands to benefit by virtue of improved large-scale models of ecosystem function and reduced cost for conducting marine ecosystem investigations.Read moreRead less
A New Platform for Developing a Compound Against Herpes Simplex Virus. This project aims to further explore the research team’s recent fundamental discovery of a protein found naturally in an Australian abalone that inhibits viral entry by blocking three key viral glycoproteins. We would aim to utilise this knowledge towards development of a new class of therapeutics against Herpes simplex viruses (HSV) and their consequent infections. The new therapeutics could overcome the low bioavailability ....A New Platform for Developing a Compound Against Herpes Simplex Virus. This project aims to further explore the research team’s recent fundamental discovery of a protein found naturally in an Australian abalone that inhibits viral entry by blocking three key viral glycoproteins. We would aim to utilise this knowledge towards development of a new class of therapeutics against Herpes simplex viruses (HSV) and their consequent infections. The new therapeutics could overcome the low bioavailability of current drugs and thus significantly shorten the recurrence period. Such new drugs may have broad applicability.Read moreRead less
Physics-aware machine learning for data-driven fire risk prediction. The 2019/20 Australian fire season was unprecedented in its extent, impact, and the response of fire agencies. In this project, we aim to answer the question: was the scale of these fires driven by known drivers of fire (drought, weather, fuels and ignitions), or were fundamentally new undescribed processes and phenomena involved? We will accomplish this by developing an innovative, physics-aware machine learning model of fire ....Physics-aware machine learning for data-driven fire risk prediction. The 2019/20 Australian fire season was unprecedented in its extent, impact, and the response of fire agencies. In this project, we aim to answer the question: was the scale of these fires driven by known drivers of fire (drought, weather, fuels and ignitions), or were fundamentally new undescribed processes and phenomena involved? We will accomplish this by developing an innovative, physics-aware machine learning model of fire risk and spread, trained and validated on a two-decade satellite fire record. The predictive ability of the model will be tested on the 2019/20 fire season to determine if novel drivers of fire can be identified, and the model itself will be operationalised into a novel short-to-mid term fire risk prediction tool. Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE100100107
Funder
Australian Research Council
Funding Amount
$400,000.00
Summary
Purchase of a multi-purpose Schottky field emission gun scanning electron microscope. Scanning electron microscopy is a basic analytical tool for imaging surfaces of natural and synthetic materials and identification of nanometre-scale features and their compositions. At the University of Tasmania, it supports four of our six designated priority research themes: Antarctic and Marine Studies, Environment, Frontier Technologies, and Sustainable Primary Production. Our research depending on this te ....Purchase of a multi-purpose Schottky field emission gun scanning electron microscope. Scanning electron microscopy is a basic analytical tool for imaging surfaces of natural and synthetic materials and identification of nanometre-scale features and their compositions. At the University of Tasmania, it supports four of our six designated priority research themes: Antarctic and Marine Studies, Environment, Frontier Technologies, and Sustainable Primary Production. Our research depending on this technique includes many fundamental and applied topics from a wide range of disciplines, such as developing portable detection devices for explosives, finding more efficient and sustainable ways to explore for ore, investigating the effects of climate change on marine ecosystems and improving salinity and drought tolerance of crops.Read moreRead less