Abstract Diurnal variability in sea surface temperature (SST) significantly influences ocean–atmosphere thermal interactions. Conventional numerical methods for reconstructing hourly SST are limited by high computational demands and difficu... Read More
Abstract Despite recent advancements in federated learning (FL), the integration of generative models into FL has been limited due to challenges such as high communication costs and unstable training in heterogeneous data environments. To a... Read More
Professor Jaejun Yoo and his research team from the Graduate School of Artificial Intelligence at UNIST recently presented their pioneering work on the future of artificial intelligence (AI) technology at the European Conference on Computer... 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)