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.
Discovery Early Career Researcher Award - Grant ID: DE150100091
Funder
Australian Research Council
Funding Amount
$341,000.00
Summary
Traffic on DNA: interplay between RNA polymerases and DNA-bound proteins. The DNA inside the cell is not just a repository of information, but is an active player in how that information is used. Proteins bind to defined locations on the DNA to control which genes are active, and genes are expressed by RNA polymerases that track along the DNA. Collisions between RNA polymerases and DNA-bound proteins can remove the proteins or block the polymerase. How can these essential processes safely coexis ....Traffic on DNA: interplay between RNA polymerases and DNA-bound proteins. The DNA inside the cell is not just a repository of information, but is an active player in how that information is used. Proteins bind to defined locations on the DNA to control which genes are active, and genes are expressed by RNA polymerases that track along the DNA. Collisions between RNA polymerases and DNA-bound proteins can remove the proteins or block the polymerase. How can these essential processes safely coexist on the DNA? The project aims to integrate systematic experiments using well-defined genetic components and mathematical modelling to understand the 'design' features of DNA and proteins that minimise these traffic problems. A better understanding could inform new strategies for manipulation of gene expression.Read moreRead less
Structural domains of beta-tubulin and their role in microtubule dynamics and transport. This study aims to obtain a fundamental understanding of how the structural domains of the cytoskeletal protein beta-tubulin are involved in microtubule structures during cell division and vesicular transport. Using gene-editing technology and coupling this with cell biological approaches and high-resolution cell imaging will enable detailed analysis of the role of beta-tubulin domains in these important cel ....Structural domains of beta-tubulin and their role in microtubule dynamics and transport. This study aims to obtain a fundamental understanding of how the structural domains of the cytoskeletal protein beta-tubulin are involved in microtubule structures during cell division and vesicular transport. Using gene-editing technology and coupling this with cell biological approaches and high-resolution cell imaging will enable detailed analysis of the role of beta-tubulin domains in these important cellular processes. The outcomes will include fundamental new knowledge in cell biology and lead to the development of unique biological models that can be used to understand disease.Read moreRead less
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
Discovery Early Career Researcher Award - Grant ID: DE160100620
Funder
Australian Research Council
Funding Amount
$378,000.00
Summary
Mechanisms of controlled gene expression in cells and organisms. The goal of this project is to reveal the nature of a cellular mechanism that has a major influence on gene expression in all eukaryotic cells. How gene expression is controlled is of fundamental importance to all life forms. The project plans to develop molecular tools that enable the visualisation and interrogation of this gene regulatory mechanism in live cells, tissues and whole organisms. The outcomes are anticipated to lead t ....Mechanisms of controlled gene expression in cells and organisms. The goal of this project is to reveal the nature of a cellular mechanism that has a major influence on gene expression in all eukaryotic cells. How gene expression is controlled is of fundamental importance to all life forms. The project plans to develop molecular tools that enable the visualisation and interrogation of this gene regulatory mechanism in live cells, tissues and whole organisms. The outcomes are anticipated to lead to an essential understanding of how cells respond to physiological and environmental cues by coordinating changes in gene expression, and to provide potential avenues towards manipulation for pharmaceutical, agricultural and biotechnology purposes.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE210101669
Funder
Australian Research Council
Funding Amount
$430,485.00
Summary
Polycomb Group Proteins - Shaping Chromatin Architecture to Silence Genes . This project aims to address the fundamental question of how genes are switched off by studying a group of molecular off-switches, the polycomb group proteins. The project is expected to generate new knowledge in the area of gene regulation and epigenetics by combining innovative methods of structural biology and cell biology in an interdisciplinary way. The expected outcomes include a more complete picture of the molecu ....Polycomb Group Proteins - Shaping Chromatin Architecture to Silence Genes . This project aims to address the fundamental question of how genes are switched off by studying a group of molecular off-switches, the polycomb group proteins. The project is expected to generate new knowledge in the area of gene regulation and epigenetics by combining innovative methods of structural biology and cell biology in an interdisciplinary way. The expected outcomes include a more complete picture of the molecular mechanisms that regulate gene expression and the development of novel methods to image the genome. This should provide significant benefits, such as facilitated development of gene editing tools and regulatory circuits for synthetic biology, as well as novel capabilities to image the genome at high resolution Read moreRead less