As concerns regarding financial safety and fraud involving manipulated videos escalate, Professor Saerom Park’s team in the Department of Industrial Engineering at UNIST has developed an innovative deepfake prevention technology that... Read More
On Wednesday, November 6, the UNIST AI Innovation Park proudly hosted the 2024 AI Innovation Day at the Ulsan Exhibition & Convention Center (UECO). The primary goal of this event is to accelerate the integration of artificial intellige... Read More
The ability to predict the feasibility of manufacturing parts significantly enhances production efficiency and reduces costs in the manufacturing industry. Leveraging this technology, the laboratory of the Department of Industrial Engineeri... Read More
A research team, led by Professor Seungryul Baek at the Graduate School of Artificial Intelligence, UNIST, has achieved remarkable success in the HANDS workshop challenge, held in conjunction with the 2024 European Conference on Computer Vi... Read More
Abstract Nuclear microreactors (MRs) have attracted significant attention for their versatility in installation locations, especially with the growing demand for sustainable green energy in large data processing facilities. However, ensurin... 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
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
![[UNIST Webinar] AI enabled Computational Imaging for Biomedical Applications](https://news.unist.ac.kr/wp-content/uploads/2022/10/Session-13.18-296x166.jpg)