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Research Topic : COGNITIVE
Socio-Economic Objective : Expanding Knowledge in Technology
Australian State/Territory : VIC
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  • Researchers (28)
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  • Active Funded Activity

    Linkage Projects - Grant ID: LP200301403

    Funder
    Australian Research Council
    Funding Amount
    $479,588.00
    Summary
    Next generation smart lighting to improve sleep and alertness. Light has a powerful influence on our sleep and alertness. The manipulation of the amount of blue in a light source and the visual brightness of a light source are key factors, but there has been no systematic study that can guide manufacturers in the design of the ideal light source for promoting either sleep or alertness. This study will systematically examine the impact of the amount of blue light in a light source and the visual .... Next generation smart lighting to improve sleep and alertness. Light has a powerful influence on our sleep and alertness. The manipulation of the amount of blue in a light source and the visual brightness of a light source are key factors, but there has been no systematic study that can guide manufacturers in the design of the ideal light source for promoting either sleep or alertness. This study will systematically examine the impact of the amount of blue light in a light source and the visual brightness, creating a wide range of combinations that can be used to model the optimal light specifications for sleep and alertness, while maintaining visual acuity and colour discrimination. This will be the evidence base needed by the lighting industry to create the next generation of smart lighting.
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    Funded Activity

    Discovery Projects - Grant ID: DP140100431

    Funder
    Australian Research Council
    Funding Amount
    $360,000.00
    Summary
    Pattern recognition in animals and machines: using machine learning to reveal cues central to the identification of individuals. The power to recognise individuals of a species requires significant image and pattern discrimination abilities. Yet, individual recognition has been found in a huge range of species, from humans to invertebrates demonstrating its importance for social interactions. The project will investigate this ability in lower vertebrates (fish, with no visual cortex), so as to u .... Pattern recognition in animals and machines: using machine learning to reveal cues central to the identification of individuals. The power to recognise individuals of a species requires significant image and pattern discrimination abilities. Yet, individual recognition has been found in a huge range of species, from humans to invertebrates demonstrating its importance for social interactions. The project will investigate this ability in lower vertebrates (fish, with no visual cortex), so as to understand the underlying mechanisms of pattern discrimination. The project will also test how robust this ability is during changes in water quality (elevated carbon dioxide levels and increased turbidity). The outcomes will further our knowledge base in lower vertebrate vision and evolution, and also have implications for human vision, image analysis, and artificial vision.
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    Active Funded Activity

    Industrial Transformation Training Centres - Grant ID: IC210100019

    Funder
    Australian Research Council
    Funding Amount
    $4,583,816.00
    Summary
    ARC Training Centre for Optimal Ageing. The ARC Training Centre for Optimal Ageing aims to address issues identified by older adults as essential for quality of life. With our industry partners, we aim to train the next generation of researchers to understand, detect and improve psychosocial factors that support mental activity, physical health and social connectedness, and embrace advances in artificial intelligence, digital-enriched environments and adaptive workplaces to deliver effective dig .... ARC Training Centre for Optimal Ageing. The ARC Training Centre for Optimal Ageing aims to address issues identified by older adults as essential for quality of life. With our industry partners, we aim to train the next generation of researchers to understand, detect and improve psychosocial factors that support mental activity, physical health and social connectedness, and embrace advances in artificial intelligence, digital-enriched environments and adaptive workplaces to deliver effective digital solutions. By developing new capacity and capability to drive the digital transformation of industries supporting our ageing population, our Centre seeks to deliver economic and social benefits that enable Australians to live enriched, healthy and independent lives as they age.
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    Funded Activity

    ARC Centres Of Excellence - Grant ID: CE140100007

    Funder
    Australian Research Council
    Funding Amount
    $20,000,000.00
    Summary
    ARC Centre of Excellence for Integrative Brain Function. The Centre of Excellence for Integrative Brain Function will address one of the greatest scientific challenges of the 21st century to understand how the brain works. We will investigate complex functions such as attention, prediction and decision-making, which require the coordination of information processing by many areas of the brain. This will require a highly collaborative approach involving neurobiologists, cognitive scientists, eng .... ARC Centre of Excellence for Integrative Brain Function. The Centre of Excellence for Integrative Brain Function will address one of the greatest scientific challenges of the 21st century to understand how the brain works. We will investigate complex functions such as attention, prediction and decision-making, which require the coordination of information processing by many areas of the brain. This will require a highly collaborative approach involving neurobiologists, cognitive scientists, engineers and physicists, allowing us to translate our discoveries into novel technologies for the social and economic benefit of all Australians. We will also train a new generation of multidisciplinary researchers, and contribute our expertise to a range of public education and awareness programs.
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    Showing 1-4 of 4 Funded Activites

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