Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0347049
Funder
Australian Research Council
Funding Amount
$403,000.00
Summary
Building Australian Literary Knowledge Infrastructure. The primary goal of AustLit: the Australian Literature Gateway is to facilitate and encourage research in, and teaching of, the nation's creative and critical literature. AustLit's innovative world class resource discovery service utilises best practice techniques in information management and knowledge sharing. In 2003, AustLit will develop new technical services and important new content to meet the defined needs of a wide range of educati ....Building Australian Literary Knowledge Infrastructure. The primary goal of AustLit: the Australian Literature Gateway is to facilitate and encourage research in, and teaching of, the nation's creative and critical literature. AustLit's innovative world class resource discovery service utilises best practice techniques in information management and knowledge sharing. In 2003, AustLit will develop new technical services and important new content to meet the defined needs of a wide range of education and information consumers in the area. AustLit provides the foundation for a subject specific digital library that will retain and expand its usefulness into the future.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0668073
Funder
Australian Research Council
Funding Amount
$544,000.00
Summary
AustLit - humanities research infrastructure development through knowledge-based dataset building, augmentation of key research elements and ICT developments. The AustLit development and augmentation program 2006-2008 will enable researchers to gain a greater understanding of the breadth and scope of Australia's conversation with the world through its literature by providing new datasets and enhanced access to the pre-eminent resource to our literary culture. AustLit aims to deliver authoritativ ....AustLit - humanities research infrastructure development through knowledge-based dataset building, augmentation of key research elements and ICT developments. The AustLit development and augmentation program 2006-2008 will enable researchers to gain a greater understanding of the breadth and scope of Australia's conversation with the world through its literature by providing new datasets and enhanced access to the pre-eminent resource to our literary culture. AustLit aims to deliver authoritative information and analysable data about all Australian writers and their writing and in 2006 will develop specialist datasets relating to Aboriginal and Torres Strait Islander writers; multicultural writers; and regional and colonial writing from Tasmania and Qld. ICT developments will provide other collaborative groups with an opportunity to use a highly successful middleware platform for new KM projects.Read moreRead less
Visual tracking of multiple objects: A stochastic geometrical approach. Reliable real-time visual multiple-object tracking techniques will open up new applications that enhance the quality of life such as driving safety, traffic monitoring, home security, security and surveillance of public facilities. These new applications have huge commercial potentials, and the technology developed from this project will provide the catalyst for vibrant new industries to grow. In addition, the expertise deve ....Visual tracking of multiple objects: A stochastic geometrical approach. Reliable real-time visual multiple-object tracking techniques will open up new applications that enhance the quality of life such as driving safety, traffic monitoring, home security, security and surveillance of public facilities. These new applications have huge commercial potentials, and the technology developed from this project will provide the catalyst for vibrant new industries to grow. In addition, the expertise developed from the project will provide a competitive edge for Australian industries in aerospace, oceanography, robotics, remote sensing, and biomedical engineering. Read moreRead less
Visual intelligence for safe vehicle operation in industrial environment. Visual intelligence for safe vehicle operation in industrial environment. This project aims to develop safety devices for loosely constrained environments with public access, building on visual-based collision avoidance technology in controlled industrial settings. Increasing productivity in industrial workplaces creates a need for faster industrial vehicles. At fruit and vegetable markets and construction sites, forklift ....Visual intelligence for safe vehicle operation in industrial environment. Visual intelligence for safe vehicle operation in industrial environment. This project aims to develop safety devices for loosely constrained environments with public access, building on visual-based collision avoidance technology in controlled industrial settings. Increasing productivity in industrial workplaces creates a need for faster industrial vehicles. At fruit and vegetable markets and construction sites, forklift drivers, crane operators and crews are under pressure to move faster. The need for higher speed and the enormous human and financial cost of unsafe operations create opportunities for the deployment of intelligent safety devices. The expected outcomes of this project are safer public industrial environments, reductions in work related injuries, injury compensation costs and associated societal burdens.Read moreRead less
Intelligent collision avoidance system for mobile industrial platforms. This project will develop a collision prevention system for mobile industrial platforms that enhances existing artificial vision perception systems to mimic human eye capabilities. The outcomes of this project will result in significant reductions in work related injuries, injury compensation costs and associated societal burdens.
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.
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
Industrial Transformation Research Hubs - Grant ID: IH180100002
Funder
Australian Research Council
Funding Amount
$5,000,000.00
Summary
ARC Research Hub for Driving Farming Productivity and Disease Prevention. The ARC Research Hub for Driving Farming Productivity and Disease Prevention aims to increase farm production and disease prevention through advancing and transferring new artificial intelligence technologies into industrial deployment. The Hub will combine machine vision, machine learning, software quality control, engineering, biology, and farming industries to develop technologies to build more intelligent systems. Thes ....ARC Research Hub for Driving Farming Productivity and Disease Prevention. The ARC Research Hub for Driving Farming Productivity and Disease Prevention aims to increase farm production and disease prevention through advancing and transferring new artificial intelligence technologies into industrial deployment. The Hub will combine machine vision, machine learning, software quality control, engineering, biology, and farming industries to develop technologies to build more intelligent systems. These dynamic systems will help determine what goal to achieve and the most efficient plan to achieve it. This Hub is expected to contribute to higher farming efficiency, lower production costs and fewer disease risks, giving the Australian industry new business opportunities and an international competitive advantage.Read moreRead less