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Status : Active
Research Topic : NEURAL NETWORK
Socio-Economic Objective : Expanding Knowledge in Technology
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  • Active Funded Activity

    ARC Future Fellowships - Grant ID: FT200100590

    Funder
    Australian Research Council
    Funding Amount
    $789,542.00
    Summary
    Routing shapes of light for the next generation of fibre optic networks. In 2016, the United Nations declared access to the Internet as basic human right. Our communication networks are facing a capacity crunch, which will transform a basic human right for everyone into a privilege for a few. This project aims to avoid a capacity crunch by creating innovative solutions for the next generation of optical fibre communication networks. This project stands to generate new knowledge in photonics, opt .... Routing shapes of light for the next generation of fibre optic networks. In 2016, the United Nations declared access to the Internet as basic human right. Our communication networks are facing a capacity crunch, which will transform a basic human right for everyone into a privilege for a few. This project aims to avoid a capacity crunch by creating innovative solutions for the next generation of optical fibre communication networks. This project stands to generate new knowledge in photonics, optical communication and advanced manufacturing. The expected benefits are new academic collaborations, enhancing Australia’s international standing and economic benefit through commercialisation and training of students for the growing photonics industry in Australia.
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    Active Funded Activity

    Australian Laureate Fellowships - Grant ID: FL210100045

    Funder
    Australian Research Council
    Funding Amount
    $3,245,263.00
    Summary
    Energy-efficient artificial intelligence using quantum technologies. Artificial intelligence (AI) is transforming society but standard technologies come with significant hidden costs: training even a single, common, learning model can emit 5 times more carbon dioxide than the lifetime emissions of the average car. This Fellowship aims to develop artificial intelligence platforms using Australia’s significant investment in quantum technologies to bypass traditional approaches to AI. The expected .... Energy-efficient artificial intelligence using quantum technologies. Artificial intelligence (AI) is transforming society but standard technologies come with significant hidden costs: training even a single, common, learning model can emit 5 times more carbon dioxide than the lifetime emissions of the average car. This Fellowship aims to develop artificial intelligence platforms using Australia’s significant investment in quantum technologies to bypass traditional approaches to AI. The expected outcomes are neuromorphic computers that operate efficiently—with low-energy cost—and rapidly—achieving speeds impossible with conventional electronic approaches. The anticipated benefits are transformative technologies for AI, new applications across society, and new tools for exploring brain function and cognition.
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    Active Funded Activity

    Discovery Early Career Researcher Award - Grant ID: DE210101808

    Funder
    Australian Research Council
    Funding Amount
    $395,775.00
    Summary
    Genetic Programming for Big Data Analytics. The project aims to extend a powerful machine learning method, called genetic programming and also developing a new concept called Alpha program, for big data analytics. This project expects to generate a new approach by finding a systematic approach to develop gene structures using information theory. By borrowing the best genes from the population of programs, the Alpha program concept will be developed for the first time. The proposed approach aims .... Genetic Programming for Big Data Analytics. The project aims to extend a powerful machine learning method, called genetic programming and also developing a new concept called Alpha program, for big data analytics. This project expects to generate a new approach by finding a systematic approach to develop gene structures using information theory. By borrowing the best genes from the population of programs, the Alpha program concept will be developed for the first time. The proposed approach aims to enhance genetic programming for many practical problems. I contend that not only finding better tools for big data analytics is in the best interest of machine learning and big data communities, it also provides significant benefits for other communities and industries in Australia.
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