event
Open forums for envisioning the next 30 years for Korea from the perspective of young people will be held in five metropolitan cities in Korea. Organized by KAIST and hosted by the Ministry of Science, ICT and Future Planning and the Committee for the 70th Anniversary of Korean Liberation, the Next Generation Open Forum 2045 invites young people to shape the future image of Korea for the upcoming 100th anniversary of Korean liberation. It will start off with its first event on September 22 in the Millennium Hall of Konkuk University in Seoul.
In this event, a panel and invited guests will discuss employment issues with a view to ameliorating problems prevalent in the society. A robotics scientist, Dr. JK Han will address the impact of robot automation on the job issue as a keynote speaker, and a performance featuring human-size robot actor will follow his talk to celebrate the opening of the event.
Invited guests can actively participate in the discussion by suggesting their opinions on job issue of the future and by voting on their smartphone apps during the event. Every opinion conveyed during the discussion will be printed and put in a time capsule, which will be opened in 2045 for the celebration of 100th anniversary of Korean liberation.
The Moon Soul Graduate School of Future Strategy of KAIST will organize events in five cities including Daegu, Daejeon, Busan, and Gwangju with topics including education, science and technology, unification diplomacy, and culture. The event will end with a symposium held in Seoul. Perspective applicants can apply for free to the Next Generation Open Forum 2045 on the official website of the Committee for the 70th Anniversary of Korean Liberation.
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event KAIST Takes the Lead in Developing Core Technologies for Generative AI National R&D Project
KAIST (President Kwang Hyung Lee) is leading the transition to AI Transformation (AX) by advancing research topics based on the practical technological demands of industries, fostering AI talent, and demonstrating research outcomes in industrial settings. In this context, KAIST announced on the 13th of August that it is at the forefront of strengthening the nation's AI technology competitiveness by developing core AI technologies via national R&D projects for generative AI led by the Minis
2025-08-13 -
__intro__ KAIST develops “FlexGNN,” a graph analysis AI 95 times faster with a single GPU
<(From Left) Donghyoung Han, CTO of GraphAI Co, Ph.D candidate Jeongmin Bae from KAIST, Professor Min-soo Kim from KAIST> Alongside text-based large language models (LLMs) including ChatGPT, in industrial fields, GNN (Graph Neural Network)-based graph AI models that analyze unstructured data such as financial transactions, stocks, social media, and patient records in graph form are being actively used. However, there is a limitation in that full graph learning—training the entire
2025-08-13 -
research KAIST Develops World’s First Wireless OLED Contact Lens for Retinal Diagnostics
<ID-style photograph against a laboratory background featuring an OLED contact lens sample (center), flanked by the principal authors (left: Professor Seunghyup Yoo ; right: Dr. Jee Hoon Sim). Above them (from top to bottom) are: Professor Se Joon Woo, Professor Sei Kwang Hahn, Dr. Su-Bon Kim, and Dr. Hyeonwook Chae> Electroretinography (ERG) is an ophthalmic diagnostic method used to determine whether the retina is functioning normally. It is widely employed for diagnosing hereditary
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research KAIST Develops AI That Automatically Designs Optimal Drug Candidates for Cancer-Targeting Mutations
< (From left) Ph.D candidate Wonho Zhung, Ph.D cadidate Joongwon Lee , Prof. Woo Young Kim , Ph.D candidate Jisu Seo > Traditional drug development methods involve identifying a target protin (e.g., a cancer cell receptor) that causes disease, and then searching through countless molecular candidates (potential drugs) that could bind to that protein and block its function. This process is costly, time-consuming, and has a low success rate. KAIST researchers have developed an AI model th
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research KAIST Develops Bioelectrosynthesis Platform for Switch-Like Precision Control of Cell Signaling
<(From left)Professor Jimin Park, Ph.D candidate Myeongeun Lee, Ph.D cadidate Jaewoong Lee,Professor Jihan Kim> Cells use various signaling molecules to regulate the nervous, immune, and vascular systems. Among these, nitric oxide (NO) and ammonia (NH₃) play important roles, but their chemical instability and gaseous nature make them difficult to generate or control externally. A KAIST research team has developed a platform that generates specific signaling molecules in situ from a si
2025-08-12