Turnell Co., Ltd., the first in the world to develop ultra-low-power ternary semiconductors, has garnered significant recognition within the semiconductor industry. Founded by Professor Kyung Rok Kim from the Department of Electrical and El... Read More
Team S2LAB, consisting of Jiun Min, DongYeon Yu, and SeongYun Jeong, and led by Professor Yuseok Jeon from the Department of Computer Science and Engineering at UNIST, has been awarded the Minister of Science and ICT Award for securing firs... Read More
At the 2024 Digital Healthcare Challenge, co-hosted by UNIST and the UCLA Center for SMART Health, Promedius Inc. achieved a remarkable victory. During the award presentation ceremony held on October 15 in the Market Hall of the University-... Read More
Abstract Acute myeloid leukemia (AML) is a rapidly proliferating blood cancer, necessitating treatments that specifically target and swiftly eradicate it. In this study, we develop an AML-specific, apoptotic cell death-inducing protein nano... 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
Abstract Chronic myeloid leukemia (CML), caused by BCR::ABL1 fusion gene, is known to regulate disease progression by altering the expression of genes. However, the molecular mechanisms underlying these changes are largely unknown. In this... Read More
The Department of Design at UNIST has secured international acclaim for its innovative designs at the prestigious Red Dot Design Award 2024. Among the noteworthy winners is Respa Chups, an innovative inhalation device designed specifically... Read More
Abstract Nonlinear intersubband polaritonic metasurfaces, which integrate giant nonlinear responses derived from intersubband transitions of multiple quantum wells (MQWs) with plasmonic nanoresonators, not only facilitate efficient frequenc... 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
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