Switching Dynamics Approach for Distributed Global Optimisation . This project aims to create a breakthrough switching dynamics approach and new technology to speed up finding optimal solutions. It will develop a distributed switching dynamics based optimisation scheme for global optimisation problems in industrial big-data environments where timely decision making is required. It will result in a practical technology for industry optimisation problems such as economic energy dispatch in smart g ....Switching Dynamics Approach for Distributed Global Optimisation . This project aims to create a breakthrough switching dynamics approach and new technology to speed up finding optimal solutions. It will develop a distributed switching dynamics based optimisation scheme for global optimisation problems in industrial big-data environments where timely decision making is required. It will result in a practical technology for industry optimisation problems such as economic energy dispatch in smart grids and optimal charging and discharging tasks in a large network of electric vehicles, helping Australian power industry improve efficiency and security, as well as training the next generation scientists and engineers for Australia in this emerging field.Read moreRead less
Deep visual understanding: learning to see in an unruly world. Deep Learning has achieved incredible success at an astonishing variety of Computer Vision tasks recently. This project aims to convey this success into the challenging domain of high-level image-based reasoning. It will extend deep learning to achieve flexible semantic reasoning about the content of images based on information gleaned from the huge volumes of data available on the Internet. The project expects to overcome one of the ....Deep visual understanding: learning to see in an unruly world. Deep Learning has achieved incredible success at an astonishing variety of Computer Vision tasks recently. This project aims to convey this success into the challenging domain of high-level image-based reasoning. It will extend deep learning to achieve flexible semantic reasoning about the content of images based on information gleaned from the huge volumes of data available on the Internet. The project expects to overcome one of the primary limitations of deep learning and will greatly increase its practical application to a range of industrial, cultural or health settings.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE190100539
Funder
Australian Research Council
Funding Amount
$408,000.00
Summary
Towards conversational vision-based Artificial Intelligence. This project aims to develop a novel learning framework, Vision-Ask-Answer-Act (V3A). This framework will allow a machine to perform a sequence of actions via a conversation with human users, based on intricate processing of not just visual input, but human-computer verbal exchanges. Artificial intelligence has great potential as a tool for economic productivity and daily tasks. Applications in cars and assistant robots, still in their ....Towards conversational vision-based Artificial Intelligence. This project aims to develop a novel learning framework, Vision-Ask-Answer-Act (V3A). This framework will allow a machine to perform a sequence of actions via a conversation with human users, based on intricate processing of not just visual input, but human-computer verbal exchanges. Artificial intelligence has great potential as a tool for economic productivity and daily tasks. Applications in cars and assistant robots, still in their early days, typically require significant expertise to use effectively. The outcomes of this project will push the boundary of vision-language research to produce a conversational intelligent agent that can be easily used in common situations across industry, transport, the medical sector, and at home.Read moreRead less
Impacts of changing water ownership and reforms on Australian water markets. Water markets play a critical role in helping Australia’s food bowl survive periods of severe drought. This project aims to evaluate how the Murray-Darling Basin water markets performed, in terms of the impact of water ownership, and investigate how water reforms have affected rural communities over the past two decades. Expected outcomes include a clearer understanding on how different water ownership structures impact ....Impacts of changing water ownership and reforms on Australian water markets. Water markets play a critical role in helping Australia’s food bowl survive periods of severe drought. This project aims to evaluate how the Murray-Darling Basin water markets performed, in terms of the impact of water ownership, and investigate how water reforms have affected rural communities over the past two decades. Expected outcomes include a clearer understanding on how different water ownership structures impact price and price volatility of water, market power, economic welfare of water traders, and what social and economic impacts water reforms in the past decades have in the Basin. The findings will provide critical evidence for evaluating future water reforms, building resilient rural communities and safeguarding food security.Read moreRead less
Making Meta-learning Generalised . This project aims to develop novel machine learning techniques, termed generalised meta-learning, to make machines better utilise past experience to solve new tasks with few data. It expects to reduce the undesirable dependence of current machine learning on labelled data and significantly expand its application scope. Expected outcomes of the project consist of new theoretical results on meta-learning and a set of innovative algorithms that can support the bui ....Making Meta-learning Generalised . This project aims to develop novel machine learning techniques, termed generalised meta-learning, to make machines better utilise past experience to solve new tasks with few data. It expects to reduce the undesirable dependence of current machine learning on labelled data and significantly expand its application scope. Expected outcomes of the project consist of new theoretical results on meta-learning and a set of innovative algorithms that can support the building of next generation of computer vision systems to work in open and dynamic environments. This should be able to produce solid benefits to the science, society, and economy of Australian via the application of these advanced intelligent systems.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE220100265
Funder
Australian Research Council
Funding Amount
$417,000.00
Summary
A closed-loop human–agent learning framework to enhance decision making. This project aims to design a foundational human–agent learning framework to augment the decision making process, using reinforcement and closed-loop mechanisms to enable symbiosis between a human and an artificial-intelligence agent. It envisages significant new technologies to promote controllability and efficient and safe exploration of an environment for decision actions – drastically boosting learning effectiveness and ....A closed-loop human–agent learning framework to enhance decision making. This project aims to design a foundational human–agent learning framework to augment the decision making process, using reinforcement and closed-loop mechanisms to enable symbiosis between a human and an artificial-intelligence agent. It envisages significant new technologies to promote controllability and efficient and safe exploration of an environment for decision actions – drastically boosting learning effectiveness and interpretability in decision making. Expected outcomes will benefit national cybersecurity by improving our understanding of vulnerabilities and threats involving decision actions, and by ensuring that human feedback and evaluations can help prevent catastrophic events in explorations of dynamic and complex environments.Read moreRead less
Solar-Driven C-H Functionalization Reactions. This project aims to investigate the functionalization reaction of unreactive C-H bonds using light as the source of energy. Light is a transformative change to synthesis as thermal activation is exchanged to solar activation. The latter gives access to excited state chemistry and enables reaction steps that are thermally inaccessible. It is a key strategy to leverage synthesis to the demands of the 21st century and to minimise its ecologic footprint ....Solar-Driven C-H Functionalization Reactions. This project aims to investigate the functionalization reaction of unreactive C-H bonds using light as the source of energy. Light is a transformative change to synthesis as thermal activation is exchanged to solar activation. The latter gives access to excited state chemistry and enables reaction steps that are thermally inaccessible. It is a key strategy to leverage synthesis to the demands of the 21st century and to minimise its ecologic footprint. At the same time this strategy provides a lever to profoundly impact and drive new concepts in synthesis. Significant benefits are expected, such as increase in fundamental knowledge on photochemical processes, but also the access to new materials for applications as drugs or OLEDs.Read moreRead less
Engineered redox polymers for catalytic water purification. This project aims to develop a novel family of chemically and structurally controlled redox polymer as metal-free catalysts for wastewater micropollutant treatment. Innovations lie in the synthesis of high-performance and nanostructured carbon-based materials, multiscale modeling, and in situ characterizations for understanding structure-property relationship in carbon catalysis. Expected outcomes will deliver innovations in functional ....Engineered redox polymers for catalytic water purification. This project aims to develop a novel family of chemically and structurally controlled redox polymer as metal-free catalysts for wastewater micropollutant treatment. Innovations lie in the synthesis of high-performance and nanostructured carbon-based materials, multiscale modeling, and in situ characterizations for understanding structure-property relationship in carbon catalysis. Expected outcomes will deliver innovations in functional materials, mechanism, catalytic engineering, and sustainable separation processes. This project will provide significant benefits in renovating smart nanomaterials in advanced manufacturing and clean environmental technologies, promoting Australia’s economic development and environment protection.Read moreRead less
Switchable and stereocontrolled photoredox catalysis. This project aims to develop new catalytic synthetic reactions for the rapid and more direct functionalisation of organic compounds under mild conditions with the use of visible light. An integrated experimental and computational approach will be used to design potent visible-light photocatalysts that retain the advantages of standard photoredox catalysis but with the added ability to intercept and, thus control, reactive intermediates in sit ....Switchable and stereocontrolled photoredox catalysis. This project aims to develop new catalytic synthetic reactions for the rapid and more direct functionalisation of organic compounds under mild conditions with the use of visible light. An integrated experimental and computational approach will be used to design potent visible-light photocatalysts that retain the advantages of standard photoredox catalysis but with the added ability to intercept and, thus control, reactive intermediates in situ. This will enable the control of stereochemistry in photoredox reactions – not possible with standard catalysts - and establish other useful synthetic transformations. These strategies will make it easier to prepare valuable classes of organic molecules – efficiently, safely, and cost-effectively.
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Redesigning Landcare policy to better coordinate across landholders. This project aims to study how landscape-sensitive economic incentives and social norms can be leveraged to enhance the short- and long-term effectiveness of conservation programs. It will yield new knowledge for innovative designs in conservation contracting that is urgently needed to address worsening environmental threats in Australia and worldwide. In collaboration with Nobel laureate Vernon Smith’s team, new methods and pr ....Redesigning Landcare policy to better coordinate across landholders. This project aims to study how landscape-sensitive economic incentives and social norms can be leveraged to enhance the short- and long-term effectiveness of conservation programs. It will yield new knowledge for innovative designs in conservation contracting that is urgently needed to address worsening environmental threats in Australia and worldwide. In collaboration with Nobel laureate Vernon Smith’s team, new methods and protocols will improve our ability to generate better data and better understand how social and incentive mechanisms can constructively interact to facilitate collaborative environmental action. Results will help make the achievement of environmental targets and the use of public funds more cost-effective. Read moreRead less