Exploring Botanic Gardens Herbarium's value, via Environmental Aesthetics. . The project aims to aesthetically redefine engagement with the plant collection at Royal Botanic Gardens Herbarium (RBG) Sydney and to communicate its artistic, cultural and heritage value to the public through a Public Program of creative arts case studies. It's expected that new insights will arise from an environmental art methodology utilising the digitisation of the Herbarium specimens, so that audiences can intera ....Exploring Botanic Gardens Herbarium's value, via Environmental Aesthetics. . The project aims to aesthetically redefine engagement with the plant collection at Royal Botanic Gardens Herbarium (RBG) Sydney and to communicate its artistic, cultural and heritage value to the public through a Public Program of creative arts case studies. It's expected that new insights will arise from an environmental art methodology utilising the digitisation of the Herbarium specimens, so that audiences can interactively experience the plant archive through narratives that activate plants as underpinning ecosystems. Benefits to partners RBG, Bundanon Trust and Open Humanities Press will include the digital expansion of audience engagement with the Herbarium at RBG and Mt Annan and communication of collection’s significance.Read moreRead less
Extinction Imaginaries: Mapping Affective Visual Cultures in Australasia. This project aims to provide NGOs with new strategies for raising awareness of environmental change by investigating what animal extinction means to Australians. Australasia has the highest global extinction rates, yet despite the wide circulation of visual images of extinction little is known about how they affect people. The project expects to address this critical gap by bringing innovative methodologies to the analysis ....Extinction Imaginaries: Mapping Affective Visual Cultures in Australasia. This project aims to provide NGOs with new strategies for raising awareness of environmental change by investigating what animal extinction means to Australians. Australasia has the highest global extinction rates, yet despite the wide circulation of visual images of extinction little is known about how they affect people. The project expects to address this critical gap by bringing innovative methodologies to the analysis of public responses to images of extinction and how they affect social imaginaries. Expected outcomes include research translations with environmental NGOs which should provide significant benefits by addressing public concern for the deteriorating ecosystems that future generations will inherit.
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Designing for sustainability using a transformative repair model. The project will generate new knowledge in design-based repair and reuse of consumer products to develop a new community of craft and design practitioners, audience and clientele, in collaboration with leading Australian design and craft organisations. It responds to the pressing cultural and environmental burden of product obsolescence and consumer waste through innovation in transformative repair – a designed reworking of broken ....Designing for sustainability using a transformative repair model. The project will generate new knowledge in design-based repair and reuse of consumer products to develop a new community of craft and design practitioners, audience and clientele, in collaboration with leading Australian design and craft organisations. It responds to the pressing cultural and environmental burden of product obsolescence and consumer waste through innovation in transformative repair – a designed reworking of broken or discarded consumer objects that transforms their aesthetic appeal and cultural value. It applies transition design theory to develop localised progressions of the transformative repair model to foster knowledge exchange between partner organisation while contributing to a sustainable design economy in AustraliaRead moreRead less
Multi-Modal Dictionary Learning for Smart City Operation and Management. This Project aims to provide new digital asset management tools for city councils to improve city services by utilising new sensing and automated learning technologies for recognising, tracking and auditing of assets. Currently, there are no digital tools available to handle these services. This project proposes new multi-modal sensing and mapping of city asset techniques by building new multi-modal dictionary learning proc ....Multi-Modal Dictionary Learning for Smart City Operation and Management. This Project aims to provide new digital asset management tools for city councils to improve city services by utilising new sensing and automated learning technologies for recognising, tracking and auditing of assets. Currently, there are no digital tools available to handle these services. This project proposes new multi-modal sensing and mapping of city asset techniques by building new multi-modal dictionary learning procedures. The new framework will recognise different conditions of city assets in real-time to make decisions. Expected outcomes of this Project include integration and easy access of assets with unique digital identities to help city councils, governments, and navigation services for real-time asset monitoring.Read moreRead less
Robust, valid and interpretable deep learning for quantitative imaging. One of the biggest challenges in employing artificial intelligence is the “black-box” nature of the models used. This project aims to improve the effectiveness and trustworthiness of deep learning within quantitative magnetic resonance imaging. Deep learning has great promise in speeding-up complex image processing tasks, but currently suffers from variable data inputs, predictions are not guaranteed to be plausible and it i ....Robust, valid and interpretable deep learning for quantitative imaging. One of the biggest challenges in employing artificial intelligence is the “black-box” nature of the models used. This project aims to improve the effectiveness and trustworthiness of deep learning within quantitative magnetic resonance imaging. Deep learning has great promise in speeding-up complex image processing tasks, but currently suffers from variable data inputs, predictions are not guaranteed to be plausible and it is not clear to the end user how reliable the results are. The outcomes intend to deliver advanced knowledge and capability in artificial intelligence and machine learning that Australia urgently needs to capitalise on bringing deep learning into practical applications delivering economic, commercial and social impact.Read moreRead less
Developing key vision technology for automation of aquaculture factory. This project aims to investigate structural, coloured textural, and hyperspectral analysis approaches to achieve automated lobster molt-cycle staging and classification to the level required for commercial production. High labour cost, water contamination, and disease transmission are major barriers in Australian bay lobster aquaculture inhibiting its large scale production. Automation of the production process and reducing ....Developing key vision technology for automation of aquaculture factory. This project aims to investigate structural, coloured textural, and hyperspectral analysis approaches to achieve automated lobster molt-cycle staging and classification to the level required for commercial production. High labour cost, water contamination, and disease transmission are major barriers in Australian bay lobster aquaculture inhibiting its large scale production. Automation of the production process and reducing the human contact with animals are of high priority in the development of this Australian-led emerging industry. The project aims to develop technology to bring this world- first aquaculture factory to large scale production, and create new export opportunities for lobsters and production systems.Read moreRead less
Transforming rehearsal design using an interactive spatial aesthetic. The Project aims to investigate an interactive spatial aesthetic that facilitates modelling of operatic rehearsal design. It will do this through application of an experimental artistic system that reshapes concepts of spatial design through collaborative interaction between creative teams and digital systems. It demonstrates how creatives can immersively design a rehearsal in real time at up to 1:1 scale, assisted by an evolv ....Transforming rehearsal design using an interactive spatial aesthetic. The Project aims to investigate an interactive spatial aesthetic that facilitates modelling of operatic rehearsal design. It will do this through application of an experimental artistic system that reshapes concepts of spatial design through collaborative interaction between creative teams and digital systems. It demonstrates how creatives can immersively design a rehearsal in real time at up to 1:1 scale, assisted by an evolving database. It transforms our understanding of rehearsal design and the way it can be aesthetically explored, with outcomes that optimise and streamline design processes in the performing arts industry.Read moreRead less
Biochemical text mining for advancing chemical and pharmaceutical knowledge. The project aims to develop novel natural language processing methods to find, extract and structure complex chemical reaction information in scientific literature. The project addresses a recognised bottleneck to efficiency in the drug discovery process, by enabling biochemical research results to be turned into actionable information. This has the potential to inform and accelerate development of effective drug treatm ....Biochemical text mining for advancing chemical and pharmaceutical knowledge. The project aims to develop novel natural language processing methods to find, extract and structure complex chemical reaction information in scientific literature. The project addresses a recognised bottleneck to efficiency in the drug discovery process, by enabling biochemical research results to be turned into actionable information. This has the potential to inform and accelerate development of effective drug treatments through the linking of relevant biochemical information. By delivering new methods that improve the compilation of knowledge about chemicals and drugs from textual information resources, the project hopes to enable faster drug discovery.Read moreRead less
Dialogue-to-Action:Towards A Self-Evolving Enterprise Intelligent Assistant. The project aims to develop a novel Self-Evolving Enterprise Intelligent Assistant (EIA) by leveraging the Chatbot-based dialogue technique to acquire information, infer user intentions, understand languages, and determine subsequent actions to take through Dialogue-to-Action modelling. This new generation EIA is equipped with Artificial Generalised Intelligence, with a broad skill set able to tackle multiple business t ....Dialogue-to-Action:Towards A Self-Evolving Enterprise Intelligent Assistant. The project aims to develop a novel Self-Evolving Enterprise Intelligent Assistant (EIA) by leveraging the Chatbot-based dialogue technique to acquire information, infer user intentions, understand languages, and determine subsequent actions to take through Dialogue-to-Action modelling. This new generation EIA is equipped with Artificial Generalised Intelligence, with a broad skill set able to tackle multiple business tasks and handle fast-changing scenarios in business. The Self-Evolving EIA is a critical step on the path towards the future generation of EIA. Expected outcomes of this project are to develop adaptive EIA for Small and Medium Enterprise to improve their customer service quality.Read moreRead less
Deep mining neurological abnormalities from brain signal data. This project aims to develop a reliable, robust and real-time analysis system for automatic and accurate detection of neurological abnormalities, and the prediction of impending neurological problems from brain signal data. The project expects to design novel algorithms for brain signal processing, data compression, and detection and prediction of neurological abnormalities from massive brain signal data. The project will lead to sig ....Deep mining neurological abnormalities from brain signal data. This project aims to develop a reliable, robust and real-time analysis system for automatic and accurate detection of neurological abnormalities, and the prediction of impending neurological problems from brain signal data. The project expects to design novel algorithms for brain signal processing, data compression, and detection and prediction of neurological abnormalities from massive brain signal data. The project will lead to significant improvement of existing methods in health monitoring applications in Australia and worldwide and hence will save lives, money and resources.Read moreRead less