On September 26, a special lecture featuring Sedol Lee, a former 9-dan ranked South Korean professional Go player, was held at Jigwanseoga, located on the 1F of UNIST Library. The event attracted not only UNIST members, but also citizens of... Read More
The UNIST Artificial Intelligence Graduate School (AIGS) announced the successful completion of the 2024 AI Technology Open Workshop, bringing together academia and industry to explore collaborative models for AI technology development. Thi... Read More
Abstract Accurately predicting tool wear is crucial for intelligent machining process monitoring, control, and quality improvement. Recent studies on tool wear prediction predominantly apply deep learning-based data-driven approaches that u... Read More
UNIST is excited to announce the launch of the ‘UNIST AI Image Generation Contest,’ an initiative dedicated to capturing the innovative achievements of the university through the lens of AI-generated imagery. This contest invite... Read More
Abstract Recent advances in the diffusion models have significantly improved text-to-image generation. However, generating videos from text is a more challenging task than generating images from text, due to the much larger dataset and high... Read More
Abstract Albeit the success of federated learning (FL) in decentralized training, bolstering the generalization of models by overcoming heterogeneity across clients still remains a huge challenge. To aim at improved generalization of FL, a... Read More
UNIST AI Innovation Park organized an AI technology exchange conference, aimed at enhancing the industrial competitiveness of the Ulsan region. The event, held at the Industry-University Convergence Campus of UNIST on July 15, brought toget... Read More
Abstract We propose a novel concept of dual and integrated latent topologies (DITTO in short) for implicit 3D reconstruction from noisy and sparse point clouds. Most existing methods predominantly focus on single latent type, such as point... Read More
Abstract In the field of class incremental learning (CIL), generative replay has become increasingly prominent as a method to mitigate the catastrophic forgetting, alongside the continuous improvements in generative models. However, its app... Read More
Professor Saerom Park and her team in the Safe and Trustworthy AI (Safe AI) Lab within the Department of Industrial Engineering at UNIST have achieved a remarkable feat by securing the first-place position in the ‘CNN Interpretability... 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)