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
Atomic scale imaging with high coherence electrons and ions. This project aims to combine a cold atom electron-ion source with a commercial microscope column for atomic-scale imaging in biosciences and materials science. Nanoscale imaging with electron and ion microscopy are tools for investigating the world at the atomic scale, underpinning development in modern technologies from semiconductor devices to medical treatments. This project will use ideas from laser cooling of atoms and atom optics ....Atomic scale imaging with high coherence electrons and ions. This project aims to combine a cold atom electron-ion source with a commercial microscope column for atomic-scale imaging in biosciences and materials science. Nanoscale imaging with electron and ion microscopy are tools for investigating the world at the atomic scale, underpinning development in modern technologies from semiconductor devices to medical treatments. This project will use ideas from laser cooling of atoms and atom optics to achieve new imaging modalities for time-lapse imaging of fundamental processes at the nano-scale. It will allow increasingly small scale resolution of fundamental processes at the nano-scale.Read moreRead less