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
On April 8, UNIST held its annual ‘Outstanding Faculty Awards‘ ceremony to shine a spotlight on the exceptional accomplishments of its faculty members throughout the 2023 academic year. The Outstanding Faculty Awards aim to ackn... Read More
Abstract Irregular sampling intervals and missing values in real-world time series data present challenges for conventional methods that assume consistent intervals and complete data. Neural Ordinary Differential Equations (Neural ODEs) off... 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)