Combating Misinformation – Designing a Toolkit to Address a Global Problem. Misinformation impairs people’s cognition – their memory, reasoning and judgements – even if credible corrections are issued; it therefore poses a significant threat to evidence-based practice and policy. This project aims to develop novel psychological interventions to reduce the impact of misinformation, based on an experimental research program designed to systematically assess the effects of various types of misinfor ....Combating Misinformation – Designing a Toolkit to Address a Global Problem. Misinformation impairs people’s cognition – their memory, reasoning and judgements – even if credible corrections are issued; it therefore poses a significant threat to evidence-based practice and policy. This project aims to develop novel psychological interventions to reduce the impact of misinformation, based on an experimental research program designed to systematically assess the effects of various types of misinformation on cognition and behaviour. The expected outcome is the development of new knowledge regarding misinformation processing and communication and its translation into a toolkit for practical application. This promises to improve individual and public decision making and foster a culture of accurate information exchange.Read moreRead less
Automatic video annotation by learning from web data. This project aims to study next-generation video annotation technologies to automatically tag raw videos using a huge set of semantic concepts. The project will study new domain adaptation schemes and frameworks in order to substantially improve video annotation performance. The resulting prototype system can be directly used by ordinary users worldwide to search their personal videos using textual queries. The system is also applicable to vi ....Automatic video annotation by learning from web data. This project aims to study next-generation video annotation technologies to automatically tag raw videos using a huge set of semantic concepts. The project will study new domain adaptation schemes and frameworks in order to substantially improve video annotation performance. The resulting prototype system can be directly used by ordinary users worldwide to search their personal videos using textual queries. The system is also applicable to video surveillance applications, which can enhance Australia’s homeland security.Read moreRead less
In search of relevant things: A novel approach for image analysis. This project aims to investigate how experts’ cognitive processes may be transferred to computers for the automatic recognition of visual features. By merging computer and brain sciences, the project will characterise the way the brains of experts understand what is seen, in order to translate such a process in a new computer vision tool. This should provide significant benefits, such as automatic detection of threats or diseases ....In search of relevant things: A novel approach for image analysis. This project aims to investigate how experts’ cognitive processes may be transferred to computers for the automatic recognition of visual features. By merging computer and brain sciences, the project will characterise the way the brains of experts understand what is seen, in order to translate such a process in a new computer vision tool. This should provide significant benefits, such as automatic detection of threats or diseases in satellite and diagnostic imaging, respectively, among other applications. For the first time, the combination of how a computer analyses an image and how an expert interprets it will be used as a common language to enable machines to process visual information in a manner that mimics the way human brains do.Read moreRead less
The Monetisation of Children in the Digital Games Industry. This project aims to understand the monetisation of children in the digital games industry. It will employ innovative studies of children’s experiences in freemium games; parental attitudes and strategies; participatory research with game developers; and an examination of the platform and regulatory environment that shapes game monetisation. Expected outcomes include guidelines and recommendations for parents seeking to negotiate childr ....The Monetisation of Children in the Digital Games Industry. This project aims to understand the monetisation of children in the digital games industry. It will employ innovative studies of children’s experiences in freemium games; parental attitudes and strategies; participatory research with game developers; and an examination of the platform and regulatory environment that shapes game monetisation. Expected outcomes include guidelines and recommendations for parents seeking to negotiate children’s digital play; new ethical frameworks for the design and implementation of digital games for children; and actionable advice for policymakers and practitioners. This will bring significant benefits to Australian children, parents and game developers via improvements to the design of games for children.Read moreRead less
Emerging technologies for enrichment in old age: A critical perspective. This project aims to generate knowledge about older adults' experiences with emerging technologies used for social and emotional enrichment. Technologies like virtual reality are said to offer social benefits for those in advanced old age, but we have limited knowledge about the issues that can impede older adults’ experiences with these technologies and even cause harm for vulnerable users. This project seeks to identify e ....Emerging technologies for enrichment in old age: A critical perspective. This project aims to generate knowledge about older adults' experiences with emerging technologies used for social and emotional enrichment. Technologies like virtual reality are said to offer social benefits for those in advanced old age, but we have limited knowledge about the issues that can impede older adults’ experiences with these technologies and even cause harm for vulnerable users. This project seeks to identify empirically informed strategies for good practice in the design and deployment of emerging technologies for enrichment in old age. This should inform the future ethical design and use of emerging technologies to benefit the social and emotional well-being of older Australians.Read moreRead less
Deep Adder Networks on Edge Devices. This project aims to empower edge devices with intelligence by developing advanced deep neural networks that address the conflict between the high resource requirements of deep learning and the generally inadequate performance of the edge. Multiplication has been the dominant type of operation in deep learning, though the addition is known to be much cheaper. This project expects to yield theories and algorithms that allow deep neural networks consisting of n ....Deep Adder Networks on Edge Devices. This project aims to empower edge devices with intelligence by developing advanced deep neural networks that address the conflict between the high resource requirements of deep learning and the generally inadequate performance of the edge. Multiplication has been the dominant type of operation in deep learning, though the addition is known to be much cheaper. This project expects to yield theories and algorithms that allow deep neural networks consisting of nearly pure additions to fulfil the requisites of accuracy, robustness, calibration and generalisation in real-world computer vision tasks. The success of this project will benefit deep learning-based products on smartphones or robots in health and cybersecurity.Read moreRead less
Bio-inspired Computing for Problems with Chance Constraints. Bio-inspired algorithms have successfully been applied to a wide range of optimisation problems. Uncertainties in real-world applications can lead to critical failures of production schedules or safe critical systems. Chance constraints model such uncertainties and allow to limit the possibility of such failures. This future fellowship builds up the area of bio-inspired computing for problems with chance constraints. It develops high ....Bio-inspired Computing for Problems with Chance Constraints. Bio-inspired algorithms have successfully been applied to a wide range of optimisation problems. Uncertainties in real-world applications can lead to critical failures of production schedules or safe critical systems. Chance constraints model such uncertainties and allow to limit the possibility of such failures. This future fellowship builds up the area of bio-inspired computing for problems with chance constraints. It develops high performing bio-inspired algorithms for stochastic problems where the constraints can only be violated with a small probability. The outcomes will lead to more effective and reliable optimisation methods for complex planning processes in areas of national priority such as mining and manufacturing.Read moreRead less
AUSLearn: AUtomated Sample Learning for Object Recognition. This project aims to enable computers to learn how to effectively use training samples for object recognition. Training sample is the only source used by computers to learn recognising objects. This project creates a new research direction that will enable the first full exploration of the power of samples. The aims will be enabled by leveraging the recent advances in reinforcement learning, fast training algorithms, and by developing n ....AUSLearn: AUtomated Sample Learning for Object Recognition. This project aims to enable computers to learn how to effectively use training samples for object recognition. Training sample is the only source used by computers to learn recognising objects. This project creates a new research direction that will enable the first full exploration of the power of samples. The aims will be enabled by leveraging the recent advances in reinforcement learning, fast training algorithms, and by developing novel deep learning algorithms. The new algorithms will benefit a wide range of applications, e.g. to effectively use car crash training samples for accurately identifying potential road crashes in transport and to effectively use rare medical imaging training data for robustly diagnosing diseases in health.Read moreRead less
Target detection: neural networks, behaviour and biomimetic applications. This project aims to understand the neural and behavioural mechanisms that allow insects to efficiently detect moving targets in visual clutter, despite being equipped with small brains and low-resolution eyes. The project is expected to generate fundamental knowledge using a unique combination of quantitative behaviour, neurophysiology, pharmacological intervention and biomimetic modelling. Expected outcomes include an in ....Target detection: neural networks, behaviour and biomimetic applications. This project aims to understand the neural and behavioural mechanisms that allow insects to efficiently detect moving targets in visual clutter, despite being equipped with small brains and low-resolution eyes. The project is expected to generate fundamental knowledge using a unique combination of quantitative behaviour, neurophysiology, pharmacological intervention and biomimetic modelling. Expected outcomes include an increased understanding of neural mechanisms underlying sensory selectivity, the development of novel techniques, and enhanced capacity for interdisciplinary collaborations. The project will provide significant knowledge as the developed biomimetic algorithms should be applicable for increased performance in drones or other unmanned vehicles.Read moreRead less
New-generation flexible thermoelectrics for wearable electronics. This project aims to develop lightweight, flexible, and durable thermoelectric thin films for wearable electronics using a computation-guided approach, coupled with novel device design and materials nanoengineering strategies. The key breakthrough will overcome the stereotype of fragile thermoelectric materials and their low thermoelectric efficiency for achieving localised, instant, and controllable power generation and/or coolin ....New-generation flexible thermoelectrics for wearable electronics. This project aims to develop lightweight, flexible, and durable thermoelectric thin films for wearable electronics using a computation-guided approach, coupled with novel device design and materials nanoengineering strategies. The key breakthrough will overcome the stereotype of fragile thermoelectric materials and their low thermoelectric efficiency for achieving localised, instant, and controllable power generation and/or cooling with record-high performance in carefully designed wearable thermoelectric devices. Expected outcomes include new understanding of thermoelectrics and innovative technologies for achieving electronics/energy applications, which will provide significant economic and educational benefits for Australia.Read moreRead less