A Novel Automatic Neural Network Feature Extractor. This project aims to study feature extraction abilities of convolutional as well as traditional neural networks and develop a generic feature extractor which can be applied to wide variety of real-world image and non-image data. New concepts for automatic feature extraction, feature explanation, hybrid evolutionary algorithms and non-iterative ensemble learning will be introduced and evaluated. The expected outcomes are a generic feature extrac ....A Novel Automatic Neural Network Feature Extractor. This project aims to study feature extraction abilities of convolutional as well as traditional neural networks and develop a generic feature extractor which can be applied to wide variety of real-world image and non-image data. New concepts for automatic feature extraction, feature explanation, hybrid evolutionary algorithms and non-iterative ensemble learning will be introduced and evaluated. The expected outcomes are a generic feature extractor for automatically extracting features, an optimiser for finding optimal parameters and non-iterative ensemble learning technique for classification of features into classes. The impact of this project will be automatic feature extractors and classifiers for real-world applications.Read moreRead less
Two-way Auslan: Automatic Machine Translation of Australian Sign Language. This project aims to develop an automatic two-way machine-translation system between Auslan (Australian Sign Language) and English by researching and leveraging advanced computer vision and machine learning technology. The project expects to advance research in AI technology on topics including visual recognition, language processing and deep learning. This will boost Australia's national research capacity and global com ....Two-way Auslan: Automatic Machine Translation of Australian Sign Language. This project aims to develop an automatic two-way machine-translation system between Auslan (Australian Sign Language) and English by researching and leveraging advanced computer vision and machine learning technology. The project expects to advance research in AI technology on topics including visual recognition, language processing and deep learning. This will boost Australia's national research capacity and global competitiveness. Expected outcomes of this project will help to break the communication barriers between the Deaf and hearing population. This should provide significant benefits to Deaf communities through enhanced communication and improved quality-of-life, leading to a fair, more inclusive and resilient Australian society.Read moreRead less
ARC Centre of Excellence for Engineered Quantum Systems. This Centre aims to build sophisticated quantum machines to harness the quantum world for the future health, economy, environment and security of Australian society. It intends to pioneer the designer quantum materials, engines and imaging systems at the heart of these machines. It also solves the most challenging research problems at the interface of basic quantum physics and engineering. The Centre will work with industry partners to tra ....ARC Centre of Excellence for Engineered Quantum Systems. This Centre aims to build sophisticated quantum machines to harness the quantum world for the future health, economy, environment and security of Australian society. It intends to pioneer the designer quantum materials, engines and imaging systems at the heart of these machines. It also solves the most challenging research problems at the interface of basic quantum physics and engineering. The Centre will work with industry partners to translate these research discoveries into practical applications and devices. It will train scientists in research, innovation, and entrepreneurship, which is expected to affect Australia’s high-tech economy.Read moreRead less
Advanced Quantum Sensors for Next-Generation Sensing Applications. The aim of this theoretical physics project is to develop ultra-precise sensing capabilities for two main applications: ultrastable inertial sensors for improved navigation and gravimetry, and to search for signatures of quantum gravity. This project expects to improve the performance of quantum sensors via the use of machine optimisation, and may lead to much-needed experimental data to help guide one of the most challenging pro ....Advanced Quantum Sensors for Next-Generation Sensing Applications. The aim of this theoretical physics project is to develop ultra-precise sensing capabilities for two main applications: ultrastable inertial sensors for improved navigation and gravimetry, and to search for signatures of quantum gravity. This project expects to improve the performance of quantum sensors via the use of machine optimisation, and may lead to much-needed experimental data to help guide one of the most challenging problems in theoretical physics: the quantisation of gravity. The expected outcomes of this project are enhanced quantum sensor design, leading to improved inertial sensing technology. This should provide benefits such as improved capabilities for minerals exploration and monitoring the movement of ground water.Read moreRead less
ARC Centre of Excellence for Quantum Computation and Communication Technology. This Centre aims to implement quantum processors able to run error corrected algorithms and transfer information across networks with absolute security. Australian researchers have established global leadership in quantum information, an innovative technology which could transform all industries dependent on computational power. This Centre has developed technologies for manipulating matter and light at the level of i ....ARC Centre of Excellence for Quantum Computation and Communication Technology. This Centre aims to implement quantum processors able to run error corrected algorithms and transfer information across networks with absolute security. Australian researchers have established global leadership in quantum information, an innovative technology which could transform all industries dependent on computational power. This Centre has developed technologies for manipulating matter and light at the level of individual atoms and photons, with the highest fidelity, longest coherence time qubits in the solid state, the world’s longest-lived quantum memory, and the ability to run small-scale algorithms on photonic qubits. The new technology is expected to provide a strategic advantage in a world where information and information security are of paramount importance.Read moreRead less
Quantum-Inspired Machine Learning. This project aims to develop new machine learning techniques based around the close correspondence between
neural networks used in deep learning, and tensor networks used in quantum physics. Tensor networks are a form of information compression that is useful in machine learning to construct a compact representation of a large data set in a way that is more amenable to understanding the internal structure than a deep neural network. Expected outcomes of this pr ....Quantum-Inspired Machine Learning. This project aims to develop new machine learning techniques based around the close correspondence between
neural networks used in deep learning, and tensor networks used in quantum physics. Tensor networks are a form of information compression that is useful in machine learning to construct a compact representation of a large data set in a way that is more amenable to understanding the internal structure than a deep neural network. Expected outcomes of this project include more resilient algorithms for machine learning, and new ways to represent quantum states that will impact fundamental physics. The resulting benefits include enhanced capacity for cross-discipline collaboration, and improved methods for future industrial applications.
Read moreRead less