UNIST is featured in a branded content article published on Nature, in collaboration with Springer Nature, highlighting its research strengths in green hydrogen, AI-driven energy modeling, and industry-based innovation. Titled “How AI... Read More
Abstract Large-scale datasets are usually required to train deep neural networks; however, they increase computational complexity, hindering practical applications. Recently, dataset distillation for images and texts has attracted considera... Read More
UNIST has entered into a strategic partnership with HD Hyundai Group to advance the development of artificial intelligence (AI), tailored specifically for the shipbuilding and marine sectors. The partnership was officially announced at the... Read More
Abstract Recently, semantic communications have drawn great attention as the groundbreaking concept surpasses the limited capacity of Shannon’s theory. Specifically, semantic communications probably become crucial in realizing visual... Read More
A research team, affiliated with SafeAI Lab, led by Professor Saerom Park in the Department of Industrial Engineering at UNIST has secured a remarkable second-place finish at a prestigious international AI security competition focused on de... Read More
Sharing cutting-edge global technological trends, presenting research achievements, and fostering industry-academia collaboration, UNIST Graduate School of Artificial Intelligence hosted the ‘2025 UNIST AI Technology Open Workshop... Read More
Abstract Flat minima, known to enhance generalization and robustness in supervised learning, remain largely unexplored in generative models. In this work, we systematically investigate the role of loss surface flatness in generative models,... Read More
Abstract Understanding 3D scenes semantically and spatially is crucial for the safe navigation of robots and autonomous vehicles, aiding obstacle avoidance and accurate trajectory planning. Camera-based 3D semantic occupancy prediction, whi... Read More
UNIST has been selected to participate in the ‘AI Star Fellowship‘ project, a key initiative supported by the Ministry of Science and ICT (MSIT) and the Institute for Info & communication Tech Planning & evaluation (IITP... Read More
Abstract Dynamic MRI reconstruction, one of inverse problems, has seen a surge by the use of deep learning techniques. Especially, the practical difficulty of obtaining ground truth data has led to the emergence of unsupervised learning app... Read More
![[UNIST Webinar] AI enabled Computational Imaging for Biomedical Applications](https://news.unist.ac.kr/wp-content/uploads/2022/10/Session-13.18-296x166.jpg)