Category: Current projects
All topics
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Integrated AgriSense: Robotics and IoT for Nutrient-Water Mapping
Encapsulates our cutting-edge project that synergies heterogeneous ground and aerial robotics with IoT sensor networks…
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Autonomous Pasture Management: Robotics and AI-Enhanced Foraging for Sustainable Farming
Embracing the future of farming, we unite autonomous science with farmer-led experimentation to revolutionise pasture…
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Deep neural architectures
Since the development of the first real deep neural network AlexNet in 2012, deep learning…
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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…