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.
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE170100075
Funder
Australian Research Council
Funding Amount
$315,000.00
Summary
Acoustic liquid handling robotics for bioactive compound discovery. This project aims to use a Labcyte Echo 550 acoustic dispenser with Combination Software to deliver sophisticated assay-ready screening. The Echo is the only liquid handling dispenser for 1536-well microplates and will allow Australian researchers to develop assay miniaturisation. The robotics will provide our nation’s researchers with a distinct competitive edge by enhancing assay sophistication, accuracy and reproducibility wh ....Acoustic liquid handling robotics for bioactive compound discovery. This project aims to use a Labcyte Echo 550 acoustic dispenser with Combination Software to deliver sophisticated assay-ready screening. The Echo is the only liquid handling dispenser for 1536-well microplates and will allow Australian researchers to develop assay miniaturisation. The robotics will provide our nation’s researchers with a distinct competitive edge by enhancing assay sophistication, accuracy and reproducibility while reducing cost. The expected benefits will advance the elucidation of molecular mechanisms involved in complex biological phenomena. The benefits of this are substantial, including reduction in test compound and reagents, which in turn reduces laboratory costs, conserves cells and increases data quality.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE200100190
Funder
Australian Research Council
Funding Amount
$620,000.00
Summary
Electrophysiology Platform for Ion-channel Characterisation. Ion channels are ubiquitous pore-forming membrane proteins, with the human genome encoding >300 ion channels. The diverse roles of ion channels include action potential generation, control of ion flow across secretory and epithelial cells, and regulation of cell volume, motility and proliferation. Pharmacological modulators are powerful tools for probing ion channel function, but for most channels these tools are lacking. Thus, this p .... Electrophysiology Platform for Ion-channel Characterisation. Ion channels are ubiquitous pore-forming membrane proteins, with the human genome encoding >300 ion channels. The diverse roles of ion channels include action potential generation, control of ion flow across secretory and epithelial cells, and regulation of cell volume, motility and proliferation. Pharmacological modulators are powerful tools for probing ion channel function, but for most channels these tools are lacking. Thus, this project aims to develop the first comprehensive toolbox of ion channel modulators using an integrated in vitro/in vivo electrophysiology platform. These pharmacological tools will be made freely available to the Australian research community for probing the mechanism and physiological function of ion channels.Read moreRead less
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 Nanoscale BioPhotonics. The CNBP brings together physicists, chemists and biologists focused on a grand challenge controlling nanoscale interactions between light and matter to probe the complex and dynamic nanoenvironments within living organisms. The emerging convergence of nanoscience and photonics offers the opportunity of using light to interrogate nanoscale domains, providing unprecedentedly localised measurements. This will allow biological scientists to unde ....ARC Centre of Excellence for Nanoscale BioPhotonics. The CNBP brings together physicists, chemists and biologists focused on a grand challenge controlling nanoscale interactions between light and matter to probe the complex and dynamic nanoenvironments within living organisms. The emerging convergence of nanoscience and photonics offers the opportunity of using light to interrogate nanoscale domains, providing unprecedentedly localised measurements. This will allow biological scientists to understand how single cells react to and communicate with their surroundings. This science will underpin a new generation of devices capable of probing the response of cells within individuals to environmental conditions or treatment, creating innovative and powerful new sensing platforms.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
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