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A research team led by Professor Sanghyun Park from the Department of Robotics and Mechanical Engineering at DGIST has developed a few-shot learning model capable of accurately classifying brain waves using a small amount of information. This model is capable of accurately classifying brain waves even with a small amount of data, which may contribute to future research related to brain waves. The team developed a new deep-learning model capable of accurately classifying brain waves according to the brain wave characteristics of each subject when the ground truth of a small amount of data is given from the brain wave data obtained from target subjects.