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Six disciplines of KAIST have emerged among the top 20 in the world. The 2017 QS World University Rankings by Subject rated Materials Science at KAIST 13th in the global ranking. Other subjects ranked within top 20 include Chemical and Biomolecular Engineering (15th), Civil and Environmental Engineering (15th), Mechanical and Aerospace Engineering (15th), Electrical Engineering (17th), and Chemistry (18th). This year, two more disciplines advanced into the top 20 from four in 2016.
QS ranked KAIST as the top science and technology research university in Korea. KAIST earned the highest global rankings among Korean universities in the following seven areas: Materials Science and Engineering (13th), Chemical and Biomolecular Engineering (15th), Civil and Environmental Engineering (15th), Mechanical and Aerospace Engineering (15th), Electrical Engineering (17th), Chemistry (18th), and the School of Computing (33th). In addition, two more disciplines of Physics (44th) and Mathematical Sciences (47th) were ranked second among domestic universities.
The London-based university ranking by Quacquarelli Symonds, Ltd. announced the global university ranking by 46 subjects on March 8. QS rankings are based on academic reputation, employer reputation, the number of research citations, and research accomplishment index (H-index).
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research KAIST Presents a Breakthrough in Overcoming Drug Resistance in Cancer – Hope for Treating Intractable Diseases like Diabetes
<(From the left) Prof. Hyun Uk Kim, Ph.D candiate Hae Deok Jung, Ph.D candidate Jina Lim, Prof.Yoosik Kim from the Department of Chemical and Biomolecular Engineering> One of the biggest obstacles in cancer treatment is drug resistance in cancer cells. Conventional efforts have focused on identifying new drug targets to eliminate these resistant cells, but such approaches can often lead to even stronger resistance. Now, researchers at KAIST have developed a computational framework to pr
2025-07-08 -
research Development of Core NPU Technology to Improve ChatGPT Inference Performance by Over 60%
Latest generative AI models such as OpenAI's ChatGPT-4 and Google's Gemini 2.5 require not only high memory bandwidth but also large memory capacity. This is why generative AI cloud operating companies like Microsoft and Google purchase hundreds of thousands of NVIDIA GPUs. As a solution to address the core challenges of building such high-performance AI infrastructure, Korean researchers have succeeded in developing an NPU (Neural Processing Unit)* core technology that improves the in
2025-07-07 -
research KAIST researcher Se Jin Park develops 'SpeechSSM,' opening up possibilities for a 24-hour AI voice assistant.
<(From Left)Prof. Yong Man Ro and Ph.D. candidate Sejin Park> Se Jin Park, a researcher from Professor Yong Man Ro’s team at KAIST, has announced 'SpeechSSM', a spoken language model capable of generating long-duration speech that sounds natural and remains consistent. An efficient processing technique based on linear sequence modeling overcomes the limitations of existing spoken language models, enabling high-quality speech generation without time constraints. It is expe
2025-07-04 -
event King Saud University and KAIST discussed Strategic AI Partnership
<From left> President Abdulla Al-Salman(King Saud University), President Kwang Hyung Lee(KAIST) KAIST (President Kwang Hyung Lee) and King Saud University (President Abdulla Al-Salman) held a meeting on July 3 at the KAIST Campus in Seoul and agreed to pursue strategic cooperation in AI and digital platform development. The global AI landscape is increasingly polarized between closed models developed by the U.S. and China’s nationally focused technology ecosystems. In this context
2025-07-04 -
research KAIST Uses AI to Discover Optimal New Material for Removing Radioactive Iodine Contamination
<(From the Right) Professor Ho Jin Ryu, Department of Nuclear and Quantum Engineering, Dr. Sujeong Lee, a graduate of the KAIST Department of Materials Science and Engineering, and Dr. Juhwan Noh of KRICT’s Digital Chemistry Research Center> Managing radioactive waste is one of the core challenges in the use of nuclear energy. In particular, radioactive iodine poses serious environmental and health risks due to its long half-life (15.7 million years in the case of I-129), hi
2025-07-03