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Explainable Artificial Intelligence : Explainable artificial intelligence aims to increase the reliability and transparency of AI models for users by explaining the process by which deep learning models make decisions. This helps users understand the basis for their decisions and find the cause when problems arise. It is needed in various fields such as medicine, finance, and law, and we conduct original research for it.

Computer Vision & Machine Learning : We conduct in-depth research on computer vision, image analysis, and machine learning using deep learning models. Representative fields include Aerial & These include Medical Image Analysis, Anomaly Detection, Segmentation, etc. We also study Few-shot and Self-supervised Learning as part of our original research.