Hardware Acceleration for Neural Systems. To really understand how brains work, we need to simulate neural networks of a size similar to that of the human brain (100 billion neurons, 100 trillion connections). Simulating such a network on standard computers in not possible because of its sheer size. Several groups are currently building very expensive and proprietary hardware to solve this, but the output from these projects will not be accessible to other researchers. In order to make real prog ....Hardware Acceleration for Neural Systems. To really understand how brains work, we need to simulate neural networks of a size similar to that of the human brain (100 billion neurons, 100 trillion connections). Simulating such a network on standard computers in not possible because of its sheer size. Several groups are currently building very expensive and proprietary hardware to solve this, but the output from these projects will not be accessible to other researchers. In order to make real progress in neuroscience, many more researchers need to be enabled to participate. To do this, the project will build a system from commercial hardware (FPGAs) that will cost only a few ten thousand dollars and it will make this design and software available for free. Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE160100850
Funder
Australian Research Council
Funding Amount
$330,000.00
Summary
Dynamic adaptive software configuration. The aim of this project is to use computational intelligence in software engineering processes to achieve self-optimising products. Many mobile device users bemoan inadequate battery life, and device size is largely determined by the battery. In addition, information and communications technology uses six per cent of the global electricity production. The expected outputs of this project will be packages of optimisation components that software engineers ....Dynamic adaptive software configuration. The aim of this project is to use computational intelligence in software engineering processes to achieve self-optimising products. Many mobile device users bemoan inadequate battery life, and device size is largely determined by the battery. In addition, information and communications technology uses six per cent of the global electricity production. The expected outputs of this project will be packages of optimisation components that software engineers can incorporate into next generation products: the products analyse their collected usage data, perform what-if analyses, and optimise their configurations accordingly for the next usage period. Hence, the products may respond faster, be more reliable, and consume less energy.Read moreRead less
Tracing nature's template: using statistical machine learning to evolve biocatalysts. In this project new computational methods will be developed to design nature-inspired, biological catalysts for industrial purposes. Such methods will enable catalysts to be designed that can improve the effectiveness and environmental footprint of drug development, agricultural and specialist chemical production and environmental remediation.
Advanced planning systems for vertically integrated supply chain management. This project will integrate various algorithms into an adaptive, dynamic and intelligent system that deals with the vertically integrated supply chains. The outcomes include publications in the quality outlets, generation of intellectual property, and dissemination of this research amongst the research and business communities.
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.Read moreRead less
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.Read moreRead less
Complete blood fractionation using a low-cost microfluidic system. This project aims to understand particle focusing in inertial microfluidic systems to design efficient devices for cell sorting. The field of microfluidics could ultimately advance medical research but device design is primitive. Microfluidic particle separations are not thoroughly simulated before fabrication to predict performance. This project is expected to accelerate progress in design of efficient microfluidic devices. The ....Complete blood fractionation using a low-cost microfluidic system. This project aims to understand particle focusing in inertial microfluidic systems to design efficient devices for cell sorting. The field of microfluidics could ultimately advance medical research but device design is primitive. Microfluidic particle separations are not thoroughly simulated before fabrication to predict performance. This project is expected to accelerate progress in design of efficient microfluidic devices. The knowledge and models developed in this project should help design and develop a microfluidic device for efficient fractionation of complex fluids into valuable components.Read moreRead less
A quantum bus for large-scale diamond quantum computers. This project aims to experimentally demonstrate a device needed to bus quantum information between defect clusters in large scale quantum computers. Quantum computers could transcend limits of today’s ‘classical’ computers. Diamond is a proven platform for small-scale quantum computing and simple quantum algorithms have already been demonstrated using small clusters of diamond defects. To build a large-scale quantum computer that can reali ....A quantum bus for large-scale diamond quantum computers. This project aims to experimentally demonstrate a device needed to bus quantum information between defect clusters in large scale quantum computers. Quantum computers could transcend limits of today’s ‘classical’ computers. Diamond is a proven platform for small-scale quantum computing and simple quantum algorithms have already been demonstrated using small clusters of diamond defects. To build a large-scale quantum computer that can realise the potential of quantum computing, a device must be invented to bus quantum information between defect clusters. This project will experimentally demonstrate physical mechanisms that were theoretically identified for the operation of such a device. This is expected to make a quantum bus for large-scale diamond quantum computers possible.Read moreRead less
Breaking barriers to high-performance room-temperature quantum technologies. This project aims to break the major barriers to realising high-performance quantum technologies that operate at room temperature by exploiting the unique properties of colour centres in diamond and two-dimensional materials. This project expects to yield profound new knowledge of colour centres and new theoretical methods, experimental techniques and quantum devices. Expected outcomes are significant enhancements of ....Breaking barriers to high-performance room-temperature quantum technologies. This project aims to break the major barriers to realising high-performance quantum technologies that operate at room temperature by exploiting the unique properties of colour centres in diamond and two-dimensional materials. This project expects to yield profound new knowledge of colour centres and new theoretical methods, experimental techniques and quantum devices. Expected outcomes are significant enhancements of existing technologies, invention of novel two-dimensional technologies, and expanded domestic capability and international collaborations in quantum technology. These outcomes will benefit Australia by securing its global competitiveness in quantum industry and providing transformative tools to science, defence and industry.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE170100169
Funder
Australian Research Council
Funding Amount
$360,000.00
Summary
Diamond quantum technology. This project aims to advance diamond quantum technologies by discovering and engineering defects, innovating quantum microscopy techniques and enabling large-scale diamond quantum computing. Quantum technologies could transcend the limits of today’s current technologies. Defects in diamond are a proven platform for the development of quantum microscopes which could yield images of nature at the atomic scale and quantum computers that may solve problems too difficult f ....Diamond quantum technology. This project aims to advance diamond quantum technologies by discovering and engineering defects, innovating quantum microscopy techniques and enabling large-scale diamond quantum computing. Quantum technologies could transcend the limits of today’s current technologies. Defects in diamond are a proven platform for the development of quantum microscopes which could yield images of nature at the atomic scale and quantum computers that may solve problems too difficult for classical computers. This project will employ an integrated research approach, spanning fundamental theory to device design and demonstration. Key anticipated outcomes are international collaboration and knowledge, capability and training in quantum microscopy and computing. This will benefit Australia by securing its global competiveness in the emerging market of quantum technology.Read moreRead less