Feature reinforcement learning. Agent applications include speech recognition systems, vision systems, search engines, auto-pilots, spam filters, and robots. The research outputs from this project will enable agents to adapt to their environment and automatically, during deployment, acquire much of the knowledge that is currently required to be built in by agent designers.
On-line planning for constrained autonomous agents in an uncertain world. This project aims to develop admissible heuristics for constrained stochastic planning problems and integrate them into state-of-the-art on-line algorithms. Artificial Intelligence (AI) systems, such as self-driving cars or energy management systems, make intelligent decisions to act near-optimally in uncertain environments, leading to savings, for example in energy use. But we also want assurances that AI systems will obe ....On-line planning for constrained autonomous agents in an uncertain world. This project aims to develop admissible heuristics for constrained stochastic planning problems and integrate them into state-of-the-art on-line algorithms. Artificial Intelligence (AI) systems, such as self-driving cars or energy management systems, make intelligent decisions to act near-optimally in uncertain environments, leading to savings, for example in energy use. But we also want assurances that AI systems will obey safety constraints. Solving constrained stochastic planning problems is key to building AI that is both robust and safe. This project will explore ways to account for uncertainty and constraints in heuristic estimation.Read moreRead less
Lifelong robotic navigation using visual perception. Service robots are becoming a major part of our working and personal environments, in much the same way as personal computers already have. This project will develop new methods of practical and useful robot navigation that will enable Australia's industries and services to remain internationally competitive.
Decision making for lifetime affordable and tenable city housing. This project will study home buying decisions and outcomes and use this to provide new insights into housing affordability and liveability. The project will develop an innovative software tool for Australia's home buyers to explore affordability and liveability during home buying, and agent-based modelling of scenarios for urban development futures.
Navigating brains: the neurobiology of spatial cognition. Navigation is one of the most crucial and most challenging problems animals face. Behavioural analyses have shown that animals make use of a number of different mechanisms to navigate, but very little is known of how different forms of spatial information are processed and integrated by the brain. The project aims to tackle this by placing tethered ants in a virtual-reality simulation of their real environment allowing precise control of ....Navigating brains: the neurobiology of spatial cognition. Navigation is one of the most crucial and most challenging problems animals face. Behavioural analyses have shown that animals make use of a number of different mechanisms to navigate, but very little is known of how different forms of spatial information are processed and integrated by the brain. The project aims to tackle this by placing tethered ants in a virtual-reality simulation of their real environment allowing precise control of visual navigational cues, as well as the opportunity to study the brains of the tethered ants as they solve the real-world challenge of finding home. This may reveal how simple brains efficiently solve navigational tasks, which may inform both cognitive biology and bio-inspired computation.Read moreRead less
The Role Of Duffy And PF4 In The Platelet Killing Of Malaria Parasites.
Funder
National Health and Medical Research Council
Funding Amount
$350,045.00
Summary
Platelets in the blood can kill the Plasmodium parasite, which lives inside red blood cells and causes malaria. Platelets bind parasite-infected red cells and release a molecule that is toxic to the parasite. This project will study why a red cell molecule called Duffy is also needed for this function of platelets. Most Africans carry a gene for Duffy that stops its expression in red cells, and may therefore be more susceptible to malaria because their platelets cannot kill the malaria parasite.
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
Arbovirus Activation And Modulation Of NLRP3 Inflammasome
Funder
National Health and Medical Research Council
Funding Amount
$779,720.00
Summary
This project aims to establish how mosquito borne viruses such as Ross River and dengue viruses interacts with the human host to cause disease, including how the virus evades the host’s immune response to persist and cause disease for prolonged periods. Knowing how differences in the virus and the host’s immune system interplay to cause asymptomatic to severely disabling disease will assist in devising new treatments and prevention programs to lessen the impact of these diseases in Australia.
Mosquito-borne alphaviruses such as Ross River and chikungunya viruses cause widespread epidemics and exert extreme pressure on the public health systems of affected regions. Alphaviruses spreads to joints and triggers a severe disease in those affected. There are no effective treatments or vaccines. The project will investigate virus-host interaction at the bite site. The outcome will be new knowledge to treat infection at the mosquito bite site to prevent joint disease.
Novel Insights Into The Pathobiology Of Alphavirus Infections
Funder
National Health and Medical Research Council
Funding Amount
$827,660.00
Summary
Infections with mosquito-borne viruses are increasing at an alarming rate worldwide. Ross River virus is endemic in parts of Australia, PNG and Pacific islands, while chikungunya virus is distributed globally and causes recurrent pandemics that involve millions of people. These viruses cause severe musculoskeletal disease for several months after infection. This project aims to establish how these viruses interact with the human host to cause disease and may provide a basis for new treatments.