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News & events
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Generative adversarial networks
Generative Adversarial Networks (GANs) were called as the most interesting idea in the last 10…
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Label-noise learning
Learning with noisy labels becomes a more and more important topic recently. The reason is…
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Robust/adversarial learning
We are also interested in how to reduce the side effect of noise on the…
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Statistical (deep) learning theory
Deep learning algorithms have given exciting performances, e.g., painting pictures, beating Go champions, and autonomously…
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Transfer learning
Just like human, machine can also find the common knowledge between tasks and transfer the…
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Leading digital infrastructure
Underpinning our leading AI research, we will expand on the AIS platform, designing and implementing…
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Explainable AI
In this project, we will study the research area “explainable AI” that enables the outputs…
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Imaging enhancement using AI
This project aims to exploit advanced AI technologies to enhance the quality of MRI data…
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Imaging biomarkers from AI federated learning
This MRFF project seeks to build a novel, hybrid AI learning ecosystem to generate clinically-relevant…
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Human intelligence in AI loop
In this project, we will investigate how to introduce human intelligence in the loop when…
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Imaging analysis and AI
In this project, we will focus on cohesively developing advanced AI technologies to revolutionise imaging-based…
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SoilWaterNow: Soil water nowcasting for the Australian grains industry
In this project funded by the GRDC we are developing a modular and scalable framework…