Added depth: automated high level image interpretation. Humans are very good at understanding the world through imagery, but computers lack this fundamental capacity because they lack experience of what they might see. This project will provide this experience by combining the large volumes of imagery on the Internet with three dimensional information generated by humans for other purposes.
Space-based space surveillance with robust computer vision algorithms. Space-based space surveillance with robust computer vision algorithms. This project aims to develop computer vision algorithms to detect man-made objects in space. These algorithms function on nanosatellite platforms, enabling space-based space surveillance. This technology is expected to provide always-on monitoring of the Earth's orbit to enhance existing defence infrastructure and protect vital space assets, including comm ....Space-based space surveillance with robust computer vision algorithms. Space-based space surveillance with robust computer vision algorithms. This project aims to develop computer vision algorithms to detect man-made objects in space. These algorithms function on nanosatellite platforms, enabling space-based space surveillance. This technology is expected to provide always-on monitoring of the Earth's orbit to enhance existing defence infrastructure and protect vital space assets, including communications and navigational satellites, in Earth’s orbit from collisions and covert sabotage. Increased space use by government and civilian agencies opens up opportunities for the space industry. This project is expected to develop Australia’s space surveillance capabilities, protect space assets and capture a growing market.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE130100156
Funder
Australian Research Council
Funding Amount
$210,000.00
Summary
Computational infrastructure for machine learning in computer vision. The many trillions of images stored on computers around the world, including more than 100 billion on Facebook alone, represent exactly the information needed to develop artificial vision. All we need do is extract it. This project will develop the computational infrastructure required to allow Australian researchers to achieve this goal.
Accurate Performance Modelling and Prediction of Cluster Computers. The tools, methodologies and data produced by this project will assist
Australian academic and industrial organisations in choosing the most
cost-effective cluster configurations for their specific high
performance computing requirements. It will also help an Australian
company to compete with increasing strength against the major
multinationals. The project will also draw together and promote future
research links between ....Accurate Performance Modelling and Prediction of Cluster Computers. The tools, methodologies and data produced by this project will assist
Australian academic and industrial organisations in choosing the most
cost-effective cluster configurations for their specific high
performance computing requirements. It will also help an Australian
company to compete with increasing strength against the major
multinationals. The project will also draw together and promote future
research links between two major academic institutions in this field.
Finally, the project will provide high-level training in research,
with industrial grounding, in the high performance computing industry.
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Linkage Infrastructure, Equipment And Facilities - Grant ID: LE160100090
Funder
Australian Research Council
Funding Amount
$250,000.00
Summary
Computational infrastructure for developing deep machine learning models. Computational infrastructure for developing deep machine learning models:
The computational infrastructure for developing deep machine learning models aims to enable new developments in machine learning of deep neural network models by providing the specialised computing necessary to train and evaluate the networks. In the last three years, deep networks have smashed previous performance ceilings for tasks such as object ....Computational infrastructure for developing deep machine learning models. Computational infrastructure for developing deep machine learning models:
The computational infrastructure for developing deep machine learning models aims to enable new developments in machine learning of deep neural network models by providing the specialised computing necessary to train and evaluate the networks. In the last three years, deep networks have smashed previous performance ceilings for tasks such as object recognition in images, speech recognition and automatic translation, bringing the prospect of machine intelligence closer than ever. Modern machine learning techniques have had huge impact in the last decade in fields such as robotics, computer vision and data analytics. The facility would enable Australian researchers to develop, learn and apply deep networks to problems of national importance in robotic vision and big data analytics. Read moreRead less
ARC Centre of Excellence for Robotic Vision. Robots are vital to Australia's future prosperity in the face of high relative wages, low or decreasing productivity, and impending labour shortages. However the work and workplaces of our most important industries are unstructured and changeable and current robots are challenged by their inability to quickly, safely and reliably "see" and "understand" what is around them. The Centre's research will create the fundamental science and technologies th ....ARC Centre of Excellence for Robotic Vision. Robots are vital to Australia's future prosperity in the face of high relative wages, low or decreasing productivity, and impending labour shortages. However the work and workplaces of our most important industries are unstructured and changeable and current robots are challenged by their inability to quickly, safely and reliably "see" and "understand" what is around them. The Centre's research will create the fundamental science and technologies that will allow robots to see as we do, and overcome the last barrier to the ubiquitous deployment of robots into society for the benefit of all.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0668155
Funder
Australian Research Council
Funding Amount
$350,000.00
Summary
Instrumentation for combined seismic and electromagnetic Earth sounding. The set of geophysical recorders will provide the means to enhance understanding of the structure of the Australian continent in 3-D. The interpretation of multiple images of Earth structure will help to link features in the crust and mantle beneath, and provide controls on the evolution and assembly of the present continent, with a major contribution to possible geotransects as recommended in the 2003 National Strategic Pl ....Instrumentation for combined seismic and electromagnetic Earth sounding. The set of geophysical recorders will provide the means to enhance understanding of the structure of the Australian continent in 3-D. The interpretation of multiple images of Earth structure will help to link features in the crust and mantle beneath, and provide controls on the evolution and assembly of the present continent, with a major contribution to possible geotransects as recommended in the 2003 National Strategic Plan for the Geosciences. Combining seismic and electromagnetic methods will provide both geochemeical and geophysical constaints, e.g., on zones of alteration and shear with the potential for deep mineralisation. Read moreRead less
Special Research Initiatives - Grant ID: SR0354821
Funder
Australian Research Council
Funding Amount
$30,000.00
Summary
Innovative Materials Production, Processing and Analysis Network. Materials science and engineering is decidedly interdisciplinary, covering a diverse spectrum of research from biology to construction, with an equally broad applications span encompassing all manufacturing industry. Australia has distinct strengths in materials but it has been difficult to promote sufficient interaction across discipline boundaries to fully exploit such strengths. The current network focuses on interdisciplinar ....Innovative Materials Production, Processing and Analysis Network. Materials science and engineering is decidedly interdisciplinary, covering a diverse spectrum of research from biology to construction, with an equally broad applications span encompassing all manufacturing industry. Australia has distinct strengths in materials but it has been difficult to promote sufficient interaction across discipline boundaries to fully exploit such strengths. The current network focuses on interdisciplinary materials interactions nationally by: i) bringing the materials community together at an annual workshop, ii) exposing PhD students and young researchers to cross-disciplinary research initiatives and facilities, iii) identifying common infrastructure needs, iv) linking with industry networks, eg AMTN, and to the international community.Read moreRead less
Recomputing the canon: using computational methods to develop an alternative understanding of the history of 20th century architecture. Because buildings are designed to last for many generations, and they represent a substantial economic investment, architecture remains one of the most tangible and persistent reflections of a culture's spiritual, social and political values. This is why it is said, to understand architecture is to understand society and its principles. This research develops an ....Recomputing the canon: using computational methods to develop an alternative understanding of the history of 20th century architecture. Because buildings are designed to last for many generations, and they represent a substantial economic investment, architecture remains one of the most tangible and persistent reflections of a culture's spiritual, social and political values. This is why it is said, to understand architecture is to understand society and its principles. This research develops an alternative history of 20th century architecture that will not only allow for a deeper understanding of, and appreciation for, our own constructed heritage, but will also inform the design and production of future buildings which are both socially and culturally responsive.Read moreRead less