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“EEG + AI” Workshop & Competition

Event type

Workshop

23Jul
Date

Date

July 23, 2022 (Sat)

Mode

To be conducted via ZOOM

Time

10:00 AM - 1:00 PM

Speaker

Dr Guang Ouyang
“EEG + AI” Workshop & Competition

Living in the era of modern technology, many of us would have been fascinated by the power of AI at some point. But have you ever wondered how it might influence our learning ability? The answer may lie in the scientific and technological convergence between neuroscience and AI that would create tools for decoding the brain activity in complex cognition including learning.

To promote brain and AI research, and application in education, the Faculty of Education, The University of Hong Kong (HKU) will host two scientific events on EEG and AI.

Event 1: EEG + AI Workshop 
In this workshop, Dr Guang Ouyang, Assistant Professor, Academic Unit of Human Communication, Development, and Information Sciences, Faculty of Education, HKU, will introduce the basics of EEG data and the general routine of applying deep-learning-based programme to learn EEG features and decode complex mental activities. The competition details will also be shared.

Details 
Date: July 23, 2022 (Saturday)
Time: 10:00 am – 1:00 pm
Mode: via ZOOM
Registration: https://docs.google.com/forms/d/e/1FAIpQLSc7KZy8JkoRu_Za1HwNFOe8LS9KrHsbyTsd1-cXmfrWh2eXAA/viewform 
Quota: 300 (first come, first served)

Event 2: EEG + AI Competition
To further promote students’ learning of EEG and AI technologies and applying them to decode complex cognitive and learning activities, a competition of AI algorithm development will also be hosted.

Details 
Demo submission deadline: September 30, 2022 (Friday)
Registration: https://docs.google.com/forms/d/e/1FAIpQLSfienHYNoOqRIUAX12Xgug7fAALVH7Xxv1me_bmlj8KxZdxZw/viewform  
Data and competition rules: https://github.com/guangouyang/EEG_AI_competition/blob/main/competition.pdf

For further details of the “EEG + AI” workshop and competition, please refer to the attached poster.

If you have any enquiries, please write to Dr Guang Ouyang by email (ouyangg@hku.hk). 

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