A free virtual forum on machine intelligence to boost research and industry collaboration.
How machine learning can assist to in health and aged care is one of the topics discussed in the global forum.
Image: Gerd Altman / Pixabay
The joint "Machine Intelligence" lab between UTS and Shanghai University will hold a free global online forum on machine intelligence on Wednesday 24 June, 2020 (AEST).
Twelve machine intelligence experts from the universities will present new advancements in machine learning research, including:
- Wearable EEG devices for augmenting human performance in health and aged care
- Machine vision for text detection and recognition, and preventing false facial verification
- Obstacle avoidance and motion control for multi-segmented soft robots
- Improving the power quality of renewable energy in an unbalanced distribution grid
- An algorithm with the best trade-off for security and detection efficiency
- Diagnosing faults in industrial reciprocating compressors using convolutional deep belief networks
- A convolutional neural network simulator for efficient and cost effective processing of hardware
- How ancient oracle bone characters from China are used as modern-day sensory icons in social networks
- Can deep learning models reflect and change ideas in the same way as humans?
- Imitation learning with a reward learning module in Atari games
- Mining and learning of event evolution graphs
The machine learning forum will provide opportunities for engagement with industry, while building on new and existing collaborative research networks.
Register here for the 1st UTS SHU Virtual Global Forum on Machine Intelligence. To find out more, download the full program.
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