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KAIST Drives National Competitiveness with a Dual-Impact Model for AI Research and Regional Innovation
<Photo of KAIST Students>
KAIST announced on December 9th that it will accelerate the nurturing of world-class scientific talent and regional balanced development. This follows the government's recent announcement on 'Leaping to a Science and Technology Powerhouse, the Republic of Korea, Where People Dream of Becoming Science and Technology Professionals Again (Nov. 7),' which explicitly named the four major science and technology institutes, including KAIST, as AX (AI Transformation) innovation hubs and key leading institutions for regional innovation.
This move aligns with the policy direction of President Jae-myung Lee. On November 4th, President Jae-myung Lee stated in a Cabinet meeting, "STEM talent is the core of national competitiveness," adding that "the increase in applicants for early admissions to the four major science and technology institutes is a very desirable phenomenon for the nation's future." In particular, the President requested that the government "actively seek concrete policies, such as expanding the allowance for transfers between STEM fields, increasing budget support, securing excellent faculty, and upgrading research and education infrastructure, because science and technology institutes can also significantly contribute to regional balanced development."
KAIST President Kwang Hyung Lee stated, "Strengthening AI research capabilities and regional balanced development is a Dual-Impact Model for AI Research and Regional Innovation that boosts national competitiveness." He confirmed that through the government's policy direction, the innovation philosophy KAIST has pursued—that 'the region is national competitiveness'—has been established as a core national direction.
In reality, KAIST continues to firmly play a central role in nurturing the talent that sustains South Korea's science and technology sector, even amid the deepening phenomenon of students flocking to medical schools. The increase in early admission applicants to the four science and technology institutes proves the successful establishment of education and research foundations where students can choose the dream of becoming science and technology professionals instead of doctors. To accelerate this trend, KAIST is focusing on establishing a National AI Research Lab and pioneering the next-generation AI research paradigm with the goal of becoming one of the top three AI powerhouses (G3) globally.
Our university was selected not only to lead the development of the next-generation bio-AI model 'K-Fold'—which surpasses Google DeepMind—and as a key participating institution in the Lunit consortium, but also as a core research team in the national AI flagship project, the 'Generative AI Leading Talent Cultivation Program.' Through discovering research topics that reflect diverse technological demands from industries, nurturing advanced AI talent, and demonstrating research outcomes in industrial settings, KAIST is being reborn as a field-ready leader guiding the AI Transformation (AX) across all of South Korea's industries.
KAIST's AI research competitiveness has also been officially recognized overseas. NVIDIA CEO Jensen Huang personally introduced KAIST as an "Amazing University" during his keynote speech at the 2025 APEC CEO Summit (Oct. 31), highly evaluating KAIST's world-class research capabilities and global collaboration potential.
Regional innovation is also gaining momentum. Our university is expanding physical AI-based research infrastructure in regions like Jeonbuk and Gyeongnam, centered around its main campus in Daejeon. Through the AI and robot-based 'Robot Valley Project' and the 'Global Innovation Startup Growth Hub Project,' in cooperation with Daejeon City, KAIST is supporting the advancement of local industries and the growth and global expansion of startups.
<ANGEL SUIT, a gait-training robot>
In particular, Sovagen—a bio-company founded on the technology of Professor Jeong Ho Lee of the KAIST Graduate School of Medical Science—recently succeeded in an overseas technology transfer of an RNA new drug for epilepsy valued at 750 billion KRW, proving a virtuous cycle model of innovation where university research translates into actual industry success.
Furthermore, the foundation for future talent development is being strengthened through efforts like promoting a culture of challenging research via the 'Failure Lab,' and early nurturing of outstanding talent through the 'Junior KAIST' and '3+4 TUBE Programs.' While setting the direction for regional university innovation through the specialized and performance-centric 'KAIST Model,' the university is also taking the lead in popularizing science and fulfilling its social responsibilities.
President Kwang Hyung Lee emphasized, "We will continue to pursue the expansion of the AI research budget and the establishment of international joint research infrastructure through close cooperation with the government." He concluded, "We will cultivate young talents who have chosen the future to be the main players in South Korean science and technology, fulfilling our central role in the 'AI Powerhouse Republic of Korea,' where the nation and the regions grow together."
2025.12.09 View 5420 -
KAIST Removes 99.9% of Ultrafine Dust Using Nano Water Droplet Technology
<(From Left) Ph.D candidate Sungyoon Woo, Professor Il-Doo Kim, Professor Seung S.Lee, Ph.D candiate Jihwan Chae, Researcher Jiyeon Yu, (Upper Right) Dr. Yujang Cho>
A KAIST research team has drawn attention by developing a new water-based air purification technology that combines “nano water droplets that capture dust” with a “nano sponge structure that autonomously draws up water,” enabling dust removal using nano water droplets without filters, self-supplied water operation, and long-term, quiet, and safe performance.
KAIST (President Kwang Hyung Lee) announced on the December 8 that a joint research team led by Professor Il-Doo Kim of the Department of Materials Science and Engineering and Professor Seung S. Lee of the Department of Mechanical Engineering developed a new water electrospray–based air purification device that rapidly removes ultrafine dust without filters, generates no ozone, and operates with ultra-low power consumption.
The research team confirmed that this device overcomes the limitations of conventional air purifiers by eliminating the need for filter replacement, producing no ozone, and removing even extremely fine ultrafine dust as small as PM0.3 (diameter 0.3 μm), which is about 1/200 the thickness of a human hair, within a short time. In addition, it demonstrated high stability and durability without performance degradation even during long-term use.
This device was created by combining Professor Seung S. Lee’s “ozone-free water electrospray” technology with Professor Il-Doo Kim’s “hygroscopic nanofiber Emitter” technology.
Inside the device are a high-voltage electrode, a nanofiber absorber that autonomously draws up water, and polymer microchannels that transport water via capillary action. Thanks to this structure, a self-pumped configuration is achieved in which water is automatically supplied without a pump, enabling stable long-term water electrospray operation.
Tests conducted by the research team in a 0.1 m3 experimental chamber showed that the device removed 99.9% of various particles in the PM0.3–PM10 range within 20 minutes. In particular, it exhibited outstanding performance by removing 97% of PM0.3 ultrafine dust, which is difficult to eliminate using conventional filter-based air purifiers, within just 5 minutes.
Even after 30 consecutive tests and 50 hours of continuous operation, the device operated stably without performance degradation, and its power consumption was approximately 1.3 W, which is lower than that of a smartphone charger and only about 1/20 that of conventional HEPA (High Efficiency Particulate Air) filter–based air purifiers.
In addition, because there is no filter, there is no pressure loss in airflow and almost no noise is generated.
This technology maintains high-efficiency purification performance while generating no ozone at all, presenting the potential for a next-generation eco-friendly air purification platform.
In particular, with advantages such as elimination of filter replacement costs, ultra-low power operation, and secured long-term stability, it is expected to expand into various fields including indoor environments as well as automotive, cleanroom, portable, and wearable air purification modules.
Commercialization of this technology is currently underway through A2US Co., Ltd., a university spin-off company from Professor Seung S. Lee’s laboratory.
A2US Co., Ltd. won a CES 2025 Innovation Award and plans to launch a portable air purifier product in 2026. The product is equipped not only with fine dust removal using nano water droplets but also with odor removal and pathogen sterilization functions.
<Figure1.Design and Operating Mechanism of a Miniature Air-Purification Device Based on Cone-Jet Water Electrospray Using a Self-Pumping Hygroscopic (PVA–PAA–MMT) Nanofiber Membrane (PPM-NFM) Emitter.>
<Figure 2. (a) Schematic of the Self-Pumping Hygroscopic Nanofiber Membrane (PPM-NFM) Emitter, and (b) Corresponding Photograph and Surface Scanning Microscopy Images.>
This research was conducted with Jihwan Chae (Ph.D. candidate, Department of Mechanical Engineering, KAIST) and Yujang Cho (Ph.D., Department of Materials Science and Engineering, KAIST) as co–first authors, and with Professor Seung S. Lee (Department of Mechanical Engineering) and Professor Il-Doo Kim (Department of Materials Science and Engineering) as corresponding authors. The research results were published on November 14 in the international journal Advanced Functional Materials (AFM), published by Wiley, a world-renowned publisher in materials science and nanotechnology.
※ Paper title: “Self-Pumped Hygroscopic Nanofiber Emitter for Ozone-Free Water Electrospray-Based Air Purification,” DOI: 10.1002/adfm.202523456
This research was supported by the National Research Foundation of Korea, the Ministry of Science and ICT, and the KAIST–MIT Future Energy Frontier Research Center (AI-robotics–based energy materials innovation) program.
2025.12.08 View 5619 -
KAIST, Production Temperature ↓ by 500°C, Power Output ↑ 2x… Next-Generation Ceramic Electrochemical Cell Reborn
<(Top row, from left) Professor Kang Taek Lee, Ph.D candidate Yejin Kang, Dr. Dongyeon Kim, (Bottom row, from left) M.S candidate Mincheol Lee, Ph.D candidate Seeun Oh, Ph.D candidate Seungsoo Jang, Ph.D candidate Hyeonggeun Kim>
As power demand surges in the AI era, the “protonic ceramic electrochemical cell (PCEC),” which can simultaneously produce electricity and hydrogen, is gaining attention as a next-generation energy technology. However, this cell has faced the technical limitation of requiring an ultra-high production temperature of 1,500°C. A KAIST research team has succeeded in establishing a new manufacturing process that lowers this limit by more than 500°C for the first time in the world.
KAIST (President Kwang Hyung Lee) announced on the 4th of December that Professor Kang Taek Lee’s research team in the Department of Mechanical Engineering developed a new process that enables the fabrication of high-performance protonic ceramic electrochemical cells at temperatures more than 500°C lower than before, using “microwave + vapor control technology” that leverages microwave heating principles and the diffusion environment of chemical vapor generated from specific chemical components.
The electrolyte—the key material of protonic ceramic electrochemical cells—contains barium (Ba), and barium easily evaporates at temperatures above 1,500°C, which has been the main cause of performance degradation. Therefore, the ability to harden the ceramic electrolyte at a lower temperature has been the core issue that determines cell performance.
As power demand surges in the AI era, the “protonic ceramic electrochemical cell (PCEC),” which can simultaneously produce electricity and hydrogen, is gaining attention as a next-generation energy technology. However, this cell has faced the technical limitation of requiring an ultra-high production temperature of 1,500°C. A KAIST research team has succeeded in establishing a new manufacturing process that lowers this limit by more than 500°C for the first time in the world.
KAIST (President Kwang Hyung Lee) announced on the 4th of December that Professor Kang Taek Lee’s research team in the Department of Mechanical Engineering developed a new process that enables the fabrication of high-performance protonic ceramic electrochemical cells at temperatures more than 500°C lower than before, using “microwave + vapor control technology” that leverages microwave heating principles and the diffusion environment of chemical vapor generated from specific chemical components.
The electrolyte—the key material of protonic ceramic electrochemical cells—contains barium (Ba), and barium easily evaporates at temperatures above 1,500°C, which has been the main cause of performance degradation. Therefore, the ability to harden the ceramic electrolyte at a lower temperature has been the core issue that determines cell performance.
To solve this, the research team devised a new heat-treatment method called “vapor-phase diffusion.” This technique places a special auxiliary material (a vapor source) next to the cell and irradiates it with microwaves to quickly diffuse vapor. When the temperature reaches approximately 800°C, the vapor released from the auxiliary material moves toward the electrolyte and tightly bonds the ceramic particles. Thanks to this technology, a process that previously required 1,500°C can now be completed at just 980°C. In other words, a world-first ceramic electrochemical cell fabrication technology has been created that produces high-performance electricity at a “low temperature” without damaging the electrolyte.
A cell fabricated with this process produced 2 W of power stably from a 1 cm² cell (roughly the size of a fingernail) at 600°C and generated 205 mL of hydrogen per hour at 600°C (about the volume of a small paper cup, among the highest in the industry). It also maintained stability without performance degradation during 500 hours of continuous operation.
In other words, this technology reduces the production temperature (−500°C), lowers the operating temperature (600°C), doubles performance (2 W/cm²), and extends the lifespan (500-hour stability), achieving world-class performance in ceramic cell technology.
The research team also enhanced the reliability of the technology by using digital twins (virtual simulations) to analyze gas-transport phenomena occurring in the microscopic internal structure of the cell − phenomena that are difficult to observe in actual experiments.
<Figure 1. (a) Schematic of the vapor-diffusion-based process; (b) Surface microstructure of the electrolyte; (c) Internal barium composition ratio of the electrolyte according to processing conditions; (d) Comparison of power-generation performance with previous studies>
< Figure 2. (a) Three-dimensional reconstructed image of the protonic ceramic electrochemical cell fuel electrode according to processing conditions (b) Pore structure (c) Gas-transport simulation results >
Professor Kang Taek Lee emphasized, “This study is the world’s first case of using vapor to lower the heat-treatment temperature by more than 500°C while still producing a high-performance, high-stability cell.” He added, “It is expected to become a key manufacturing technology that addresses the power challenges of the AI era and accelerates the hydrogen society.”
Dongyeon Kim (KAIST PhD) and Yejin Kang (KAIST PhD candidate) participated as co–first authors. The research results were published in Advanced Materials (IF: 26.8), one of the world’s leading journals in energy and materials science, and were selected as the Inside Front Cover article on October 29.
(Paper title: “Sub-1000°C Sintering of Protonic Ceramic Electrochemical Cells via Microwave-Driven Vapor Phase Diffusion,” DOI: https://doi.org/10.1002/adma.202506905)
This research was supported by the MSIT’s Mid-career Researcher Program and the H2 Next Round Program.
2025.12.05 View 6407 -
How Does AI Think? KAIST Achieves First Visualization of the Internal Structure Behind AI Decision-Making
<(From Left) Ph.D candidate Daehee Kwon, Ph.D candidate Sehyun lee, Professor Jaesik Choi>
Although deep learning–based image recognition technology is rapidly advancing, it still remains difficult to clearly explain the criteria AI uses internally to observe and judge images. In particular, technologies that analyze how large-scale models combine various concepts (e.g., cat ears, car wheels) to reach a conclusion have long been recognized as a major unsolved challenge.
KAIST (President Kwang Hyung Lee) announced on the 26th of November that Professor Jaesik Choi’s research team at the Kim Jaechul Graduate School of AI has developed a new explainable AI (XAI) technology that visualizes the concept-formation process inside a model at the level of circuits, enabling humans to understand the basis on which AI makes decisions.
The study is evaluated as a significant step forward that allows researchers to structurally examine “how AI thinks.”
Inside deep learning models, there exist basic computational units called neurons, which function similarly to those in the human brain. Neurons detect small features within an image—such as the shape of an ear, a specific color, or an outline—and compute a value (signal) that is transmitted to the next layer.
In contrast, a circuit refers to a structure in which multiple neurons are connected to jointly recognize a single meaning (concept). For example, to recognize the concept of cat ear, neurons detecting outline shapes, neurons detecting triangular forms, and neurons detecting fur-color patterns must activate in sequence, forming a functional unit (circuit).
Up until now, most explanation techniques have taken a neuron-centric approach based on the idea that “a specific neuron detects a specific concept.” However, in reality, deep learning models form concepts through cooperative circuit structures involving many neurons. Based on this observation, the KAIST research team proposed a technique that expands the unit of concept representation from “neuron → circuit.”
The research team’s newly developed technology, Granular Concept Circuits (GCC), is a novel method that analyzes and visualizes how an image-classification model internally forms concepts at the circuit level.
GCC automatically traces circuits by computing Neuron Sensitivity and Semantic Flow. Neuron Sensitivity indicates how strongly a neuron responds to a particular feature, while Semantic Flow measures how strongly that feature is passed on to the next concept. Using these metrics, the system can visualize, step-by-step, how basic features such as color and texture are assembled into higher-level concepts.
The team conducted experiments in which specific circuits were temporarily disabled (ablation). As a result, when the circuit responsible for a concept was deactivated, the AI’s predictions actually changed.
In other words, the experiment directly demonstrated that the corresponding circuit indeed performs the function of recognizing that concept.
This study is regarded as the first to reveal, at a fine-grained circuit level, the actual structural process by which concepts are formed inside complex deep learning models. Through this, the research suggests practical applicability across the entire explainable AI (XAI) domain—including strengthening transparency in AI decision-making, analyzing the causes of misclassification, detecting bias, improving model debugging and architecture, and enhancing safety and accountability.
The research team stated, “This technology shows the concept structures that AI forms internally in a way that humans can understand,” adding that “this study provides a scientific starting point for researching how AI thinks.”
Professor Jaesik Choi emphasized, “Unlike previous approaches that simplified complex models for explanation, this is the first approach to precisely interpret the model’s interior at the level of fine-grained circuits,” and added, “We demonstrated that the concepts learned by AI can be automatically traced and visualized.”
< Overview of the Conceptual Circuit Proposed by the Research Team >
This study, with Ph.D. candidates Dahee Kwon and Sehyun Lee from KAIST Kim Jaechul Graduate School of AI as co–first authors, was presented on October 21 at the International Conference on Computer Vision (ICCV).
Paper title: Granular Concept Circuits: Toward a Fine-Grained Circuit Discovery for Concept Representations
Paper link: https://openaccess.thecvf.com/content/ICCV2025/papers/Kwon_Granular_Concept_Circuits_Toward_a_Fine-Grained_Circuit_Discovery_for_Concept_ICCV_2025_paper.pdf
This research was supported by the Ministry of Science and ICT and the Institute for Information & Communications Technology Planning & Evaluation (IITP) under the “Development of Artificial Intelligence Technology for Personalized Plug-and-Play Explanation and Verification of Explanation” project, the AI Research Hub Project, and the KAIST AI Graduate School Program, and was carried out with support from the Defense Acquisition Program Administration (DAPA) and the Agency for Defense Development (ADD) at the KAIST Center for Applied Research in Artificial Intelligence.
2025.11.26 View 7012 -
KAIST to Usher in an Era of Nationwide Science Culture: KSOP, OPEN KAIST, and AI Academy
< 2025 OPEN KAIST (Demonstration of the cluster systems and AI drone program conducted in Prof. Il-Chul Moon’s Lab, Department of Industrial & Systems Engineering)>
KAIST announced on November 25th that it is operating the 'Science Education Sharing (KSOP),' 'OPEN KAIST,' and 'KAIST-style IT/AI Academy for the General Public, social contribution programs based on science popularization,in line with the government's policy to spread science culture. Through these initiatives, KAIST is nurturing future science and technology talent and contributing to the popularization of science culture.
KAIST President Kwang Hyung Lee stated, “Under the mission of 'a university that contributes to humanity and society through science and technology,' KAIST is creating a ladder of opportunity through education sharing,” adding, “KSOP and OPEN KAIST are core KAIST programs that help all children dream of becoming scientists, regardless of their economic or regional circumstances. KAIST will continue to actively communicate with the general public and contribute to strengthening national competitiveness in science and technology by pursuing warm science, inclusive education, and a sustainable science culture ecosystem that goes beyond cutting-edge science and technology.”
■ KSOP for Science-Gifted Students from Underprivileged Backgrounds: 8,000 Beneficiaries in 10 Years, 70% Enrollment in STEM Fields
KSOP, operated by the Science Gifted Education Research Institute, is a representative science-sharing program. It selects students with potential in mathematics and science from socially disadvantaged youth and provides direct mentoring by current KAIST undergraduate and graduate students.
Starting with 250 students in 2015, the program expanded to approximately 1,000 participants annually starting in 2022, with a cumulative total of about 8,000 participants by 2025. It has achieved tangible results, with over 70% of graduates advancing into STEM fields, and a knowledge circulation structure has become established where graduates return as mentors.
Creative science education volunteer work has been conducted in underserved areas such as Jeju, Mokpo, and Andong, in addition to Daejeon, Sejong, and Hwaseong, contributing to the alleviation of educational disparities between regions. In particular, the program where mentees teach elementary school students has been cited as a prime example of KAIST's science culture diffusion.
One KSOP graduate who advanced to KAIST and is now been a mentor for five years shared, “Through mentoring, I feel the true value of sharing and service, as well as an inexpressible sense of pride and accomplishment.”
Furthermore, family-unit programs, including parent information sessions, family camps, and counseling support, have strengthened students' emotional and career support. In 2025, the fifth family camp was held, further broadening participation.
'KSOP FRIENDS,' centered on graduates and mentors, has established a virtuous cycle ecosystem connecting scholarships, mentoring, and donations. This initiative has expanded and developed into the 'Daddy-Long-Legs Project,' a representative small-sum regular donation program in which the public can participate.
< KSOP Jeju Island Educational Volunteer Group Photo >
< KSOP Scholarship Award >
■ ‘OPEN KAIST 2025’ to Meet KAIST Laboratories: Record-Breaking Number of Visitors
OPEN KAIST, KAIST's flagship science culture event that opens laboratories and the campus to the public every two years, recorded its highest ever attendance in 2025, with the number of visitors increasing more than fourfold compared to 2023. In particular, the lab tours garnered high interest, with long waiting lists for pre-registration. An elementary school participant commented, “The earthquake research lab tour was so fascinating and very helpful for answering my questions.” Recognizing that some participation was difficult due to the larger-than-expected number of visitors, KAIST announced plans to expand participation opportunities and improve operations in the future.
■ Cultivating Digital Talent through Short-Term Non-Degree IT/Semiconductor Courses for the General Public
The 'KAIST IT Academy' for military personnel is a non-degree program that provides practical, basic training in AI, computer science, and programming, involving KAIST graduate students as instructors. Operated both online and offline, approximately 1,000 trainees participate annually.
The 'SW Academy (Jungle),' a KAIST non-degree software education course, has become a successful model for nurturing young SW talent, with a cumulative 308 people completing the course between 2021 and 2024. Major employers include Naver, Krafton, Team Sparta, Nearthlab, and Woowa Brothers. Jungle trains developers who can be immediately deployed in practical work through hands-on programming education, mentoring by active developers, and planning/design feedback.
Based on the excellence of the Jungle program, Krafton launched and has been operating 'Krafton Jungle' since 2022. This is a social contribution activity by a company founded by KAIST alumnus Chairman Byung-Gyu Jang and is regarded as a prime example of KAIST's talent nurturing model spreading to the private sector.
Furthermore, the KAIST IDEC (IC Design Education Center) trains 240 young people annually as semiconductor design experts through the nurturing of semiconductor design talent, facilitating their entry into the industry.
■ Strengthening National Competitiveness by Building a Future Talent Ecosystem
KSOP received international recognition for its excellence in 2024 by winning the Best Program Award and Best Researcher Award at the Asia-Pacific Conference on Giftedness (APCG).
KAIST is further expanding its future talent platform by launching 'Junior KAIST' in 2025, a science, mathematics, and AI exploration program for youth. KAIST plans to continue strengthening its role as a public research university that grows with the nation through science and technology-based social contribution and the nurturing of future talent.
2025.11.25 View 4383 -
Depression is Not Only a Disease of the Mind. KAIST Discovers the Immune-Brain Connection
<(From Left) Ph.D candidate Insook Ahn from KAIST, Professor Jinju Han from KAIST, (Upper Left) Yangsik Kim from Inhan University School of Medicine, Ph.D candidate Soyeon Chang(psychiatrist)>
Major depressive disorder (MDD) is characterized by a lowered mood and loss of interest, contributing not only to difficulties in academic and professional life but also as a major cause of suicide in South Korea. However, there are currently no objective biological markers that can be used for diagnosis or treatment. Amidst this, a research team from KAIST has revealed that depression is not merely a problem of the mind or brain, but is deeply connected to abnormalities in the body's overall immune response. They found that this immune abnormality affects brain function, and the 'Immune Neural Axis' imbalance is the core mechanism of depression, opening up the possibility for the discovery of new biomarkers and the development of new drugs for depression treatment.
KAIST announced on the November 20th that Professor Jinju Han's research team from the Graduate School of Medical Science and Engineering (GSMSE) at KAIST, in collaboration with Professor Yangsik Kim's research team (Ph.D., KAIST GSMSE) from Inha University School of Medicine, performed a multi-omics analysis combining plasma proteomic analysis, WBC single-cell analysis, and patient-derived brain organoids (mini-brains). This study focused on female patients with MDD who exhibited 'Atypical Features' (such as hypersomnia and overeating) and 'Psychotic Symptoms'(such as auditory hallucinations and idea of reference), which are different from typical depression symptoms, and who also had impaired reality judgment.
Sduio
■ "Immune Cells and Brain Function are Altered Together" A New Biological Clue for Depression
The research team simultaneously examined genetic changes in immune cells in the blood and changes in nervous-system-related proteins. The results confirmed a breakdown in the balance of immune-neural interaction in patients with depression.
MDD, especially in young women, often presents with atypical symptoms (hypersomnia, overeating, mood reactivity, etc.), which increases the risk of a later diagnosis of bipolar disorder. Furthermore, about 40% of patients are classified as treatment-resistant depression, showing no response to various antidepressants.
Consequently, there has been a continuous call for the development of new therapeutic strategies and the discovery of biomarkers based on immunity and metabolism, moving beyond the traditional drug-centric approach.
■ World's First Integration of "Leukocyte Single-Cell Analysis + Brain Organoid" A New Paradigm for Psychiatric Research
The research team presented the world's first precision medicine approach by integrating plasma proteomics, leukocyte single-cell transcriptome analysis, and analysis of brain organoids created from patient-derived induced pluripotent stem cells (iPSCs).
The results showed that patients with atypical depression exhibited high levels of stress, anxiety, and depression. Furthermore, proteins crucial for inter-neuronal signaling (DCLK3 and CALY) were significantly elevated compared to normal levels, and Complement Protein C5, which strongly enhances the body's immune response, was also increased. This indicates that both 'brain function' and 'immune function' are excessively activated and out of balance within the body.
This finding confirms a clue that depression is not merely a mood issue but is connected to biological changes occurring throughout the entire body. Upon examining the immune cells of depression patients, genetic changes were found that make inflammatory responses in the body occur more easily and strongly than usual. This implies that the entire bodily immune system is in a state of excessive activation, and this immune/inflammatory abnormality may influence the development of depression.
The patient-derived brain organoids showed accompanying growth retardation and abnormal neural development, supporting the possibility that immune abnormalities interact with changes in brain function to exacerbate the disease.
■ "Immune-Neural Axis Imbalance is the Core Mechanism of Atypical Depression"
This study integrated clinical data, single-cell omics, proteomics, and brain organoids to demonstrate that the 'Imbalance of the Immune-Neural Axis' is the core mechanism of MDD accompanied by atypical and psychotic symptoms.
<Integration of clinical symptoms, blood analysis, and patient-derived brain organoid analysis in women with major depressive disorder>
Professor Jinju Han stated, "This achievement presents a new precision medicine model for psychiatric research," adding, "We anticipate that this will actively lead to biomarker discovery and new drug development."
This accomplishment was published online in the world-renowned international scientific journal, Advanced Science, on October 31st.
※ Paper Title: Exploration of Novel Biomarkers through a Precision Medicine Approach Using Multi-omics and Brain Organoids in Patients with Atypical Depression and Psychotic Symptoms DOI: https://doi.org/10.1002/advs.202508383
※ Author Information: Soyeon Chang (Inha University, Co-First Author), Seok-Ho Choi, Jiyoung Lee, Yangsik Kim (Inha University, Corresponding Author), Insook Ahn (KAIST, Co-First Author), and Jinju Han (KAIST, Corresponding Author)
This research was supported by the National Research Foundation of Korea and the Korea Health Industry Development Institute.
2025.11.20 View 22129 -
AI Opens a New Era in Medical Science and Bio
< (From left) KAIST Professors Yoonjae Choi, Tae-Kyun Kim, Jong Chul Ye, Hyunwoo Kim, Seunghoon Hong, Sang Yup Lee >
KAIST announced on the 14th of November that it has been selected as a major participating institution in the 'Lunit Consortium' for the 'AI Specialized Foundation Model Development Project' supervised by the Ministry of Science and ICT, and has officially started developing an AI foundation model for the medical science and bio fields. Through this project, KAIST plans to develop an 'AI Foundation Model Specialized for Medical Science' that encompasses the entire lifecycle of bio and medical data, and lead the creation of an AI based life science innovation ecosystem. The 'Lunit Consortium' includes 7 companies-Lunit, Trillion Labs, Kakao Healthcare, Igenscience, SK Biopharm, and Rebellion-along with 9 medical and research institutions, including KAIST, Seoul National University, NYU, National Health Insurance Service Ilsan Hospital, and Yonsei Severance Hospital. This consortium will be supported by 256 state of the art B200 GPUs to build and demonstrate a 'Chain of Evidence-Based Full-Cycle Medical Science AI Model', an AI system that connects and analyzes medical data from beginning to end, and a 'Multi-Agent Service', a system where multiple AIs collaborate to perform diagnosis and prediction. KAIST's participation in this project involves a joint research team formed by professors from the School of Computing and the Kim Jaechul Graduate School of AI. Professors Yoonjae Choi, Tae-Kyun Kim, Jong Chul Ye, Hyunwoo Kim, and Seunghoon Hong will serve as the research team, and Vice President for Research Sang Yup Lee will take on an advisory role. The research team is not merely collecting data but they are establishing a strategy (L1~L7 stages) to precisely process and systematically manage medical and life science data so that the AI can actually learn and utilize it. Through this, they plan to develop and verify an AI model that connects and analyzes diverse life science data, including medical information, gene/protein data, and new drug candidates. The data the research team aims to integrate includes a wide range from language to actual patient treatment information. Specifically, L1 represents language data, L2 is the structure of molecules, L3 is proteins and antibodies, L4 is omics data encompassing genetic and protein information, L5 is drug information, L6 is medical science research and clinical data, and L7 is real-world clinical data obtained from actual hospitals. In essence, the data handled by the AI connects everything from speech and text to molecules, proteins, drugs, clinical research, and actual patient treatment information.
< The process of training AI by viewing X ray images and doctor's interpretation (text) together (MedViLL from Professor Jae-Yoon Choi' s lab) >
Vice President Sang Yup Lee is a world-renowned scholar in the fields of synthetic biology and systems metabolic engineering, leading the establishment of a bio manufacturing platform and policy advice through the convergence of life science, engineering, and AI. He advises on the analysis of life information (omics) such as genes and proteins and designs a feedback system for verifying experimental results, supporting the Korean-developed medical AI model to secure international reliability and competitiveness. Vice President Lee stated, "AI technology is breaking down the boundaries of life science and engineering, creating a new paradigm for knowledge creation," adding, "KAIST will utilize full cycle medical science data to accelerate the era where AI uncovers the causes of diseases and predicts treatments." KAIST President Kwang Hyung Lee said, "KAIST will contribute to creating an AI-based life science innovation ecosystem, lead the innovation of national strategic industries through world-class AI-bio convergence research, and drive the progress of human health and science and technology." The model developed in the Lunit Consortium will be released as an Open License for commercial use, and is expected to expand into various medical and healthcare services such as national health chatbots. With this participation, KAIST plans to strengthen research on AI-based life science data infrastructure establishment, medical AI standardization, and AI ethics and policy advice, leading the AI transition of national bio and medical science research.
2025.11.14 View 4784 -
World-Renowned Conductor Han-Na Chang Appointed as Visiting Distinguished Professor
< (From Left) Professor Joo Han Nam, President Kwang Hyung Lee, President and Vice President Students of KAIST Orchestra, Professor Han-Na Chang, Professor Hyeon-Jeong Suk >
"It is very meaningful to be able to share the joy of music with future science and technology leaders at KAIST and to explore the possibilities of a new field of performing arts hand-in-hand with AI." – Han-Na Chang, KAIST Visiting Distinguished Professor
KAIST announced on the 13th of November that it has appointed Han-Na Chang, a world-renowned conductor and musician who was formerly a cellist, as a Visiting Distinguished Professor at the Graduate School of Culture Technology (GSCT).
This appointment was pursued to expand the base of culture and arts within KAIST by inviting a world-class artist, and to lay the foundation for students to grow into creative and converged talents. Furthermore, it is expected to serve as an opportunity to share Professor Chang's experiences of challenge and achievement on the world stage, thereby delivering dreams and inspiration to the members of KAIST. Professor Han-Na Chang will share her 31 years of research as a musician and her stage experience through the 'Orchestra Master Class' (an open practical class where the conductor directly guides student performers on musical interpretation and collaboration through live performance). She will also conduct leadership special lectures for undergraduate and graduate students, sharing her vision for music and her philosophy on a conductor's leadership.
In particular, Professor Chang will participate in advising on Artificial Intelligence (AI) technology necessary for orchestral performance through the Sumi Jo Center for Performing Arts Research at the Graduate School of Culture Technology, thereby suggesting a new research direction that explores the convergence of art and science and technology. The term of appointment is two years, starting from November 2025.
Professor Han-Na Chang stated, "It is very meaningful to be able to share the values of art, leadership, and collaboration with students at KAIST, the center of science and technology," adding, "It is a great joy and honor to contribute to the future science and technology leaders' development of artistic sensibility, creativity, and expressiveness through the joys and sorrows of music.
KAIST President Kwang Hyung Lee remarked, "The joining of Professor Han-Na Chang, who possesses both artistic insight and leadership as a world-renowned conductor, will be a great stimulus to the members of KAIST," and "We expect her to breathe new creative inspiration into the convergence of science and art."
Meanwhile, Professor Han-Na Chang garnered global attention at the age of 11 by winning the First Prize at the Fifth International Rostropovich Cello Competition for the youngest ever. After her career as a cellist on the international stage, she transitioned to conducting in 2007. She is currently recognized for her musical leadership and artistic vision by conducting world-leading orchestras such as the Munich Philharmonic, Orchestre de Paris, Philharmonia Orchestra, and the Royal Concertgebouw Orchestra.
<Professor Han-Na Chang Conducting an Orchestra>
For the reference, KAIST has two orchestras: the 'KAIST Orchestra', which is centered on undergraduate students, and the 'KAIST Art Orchestra', composed of graduate students, faculty, staff, and alumni. The KAIST Orchestra was founded in 1992 and currently has about 90 members. It holds regular concerts every May and November and has established itself as a representative on-campus arts organization voluntarily planned and operated by students. The KAIST Art Orchestra, founded in 2024, is a project-based performance group with approximately 50 members who perform for specific events or projects.
2025.11.13 View 3305 -
IEEE President Professor Kramer Holds Special Lecture on Artificial Intelligence in the Electrical Engineering Department
Kathleen A. Kramer, President of the IEEE (Institute of Electrical and Electronics Engineers), the world's largest technical professional organization dedicated to electrical and electronic technology, visited our university on the 30th and delivered a special lecture under the theme, 'Drawing the Future of Artificial Intelligence Together.'
< IEEE Leadership and KAIST EE Meeting KITIS Director (Sung-Hyun Hong), KAIST EE Professors (Joonwoo Bae), (Ian Oakley), (Hye-Won Jeong), (Chang-Shik Choi), (Dong-Soo Han), Head of EE Department (Seunghyup Yoo), IEEE President (Kathleen A. Kramer), IEEE Senior Sales Director (Francis Staples), IEEE Regional Manager for APAC (Ira Tan), KAIST EE Professor (Hee-Jin Ahn), Head of Semiconductor System Engineering Department (Sung-Hwan Cho)>
Standing at the colloquium podium by invitation of the Department of Electrical Engineering (Head: Seung-Hyup Yoo), President Kramer emphasized based on IEEE's core vision, 'Advancing Technology for Humanity,' that "Artificial Intelligence (AI) is no longer a concept of the distant future; it has become a technology that is transforming human lives at the center of innovation."
< Photo of IEEE President's KAIST EE Colloquium Lecture >
She further added, "Technology must advance with human values at its core, and AI based on ethics and inclusiveness can lead to true innovation," sharing her insights on the direction of AI development and the social responsibility of technology.
Seung-Hyup Yoo, Head of the Department of Electrical Engineering, stated, "We expect President Kramer's visit to be a stepping stone that will not only widely promote our department's capabilities in advanced fields such as AI, semiconductors, signal processing, and robotics to the international academic community but also strengthen cooperation in various ways."
< Tea Meeting with the IEEE Leadership and the Vice Presidents . KITIS Director (Sung-Hyun Hong), IEEE Senior Sales Director (Francis Staples), IEEE President (Kathleen A. Kramer), KAIST Executive Vice President for Research (Sang Yup Lee), Head of EE Department (Seunghyup Yoo), IEEE Regional Manager for APAC (Ira Tan)>
Meanwhile, prior to the lecture, President Kramer paid a courtesy visit to Sang-Yup Lee, KAIST Executive Vice President for Research, and reaffirmed the commitment of both organizations to advancing sustainable technology and building an ethical and inclusive research ecosystem to contribute to a better life for humanity.
2025.11.06 View 4276 -
KAIST's 'FluidGPT' Wins Grand Prize at the 2025 AI Champion Competition
<Commemorative Photo After Winning at the 2025 AI Champions Award Ceremony>
The era has begun where an AI assistant goes beyond simple conversation to directly view the screen, make decisions, and complete tasks such as hailing a taxi or booking an SRT ticket.
KAIST (President Kwang Hyung Lee) announced on the 6th that the AutoPhone Team (Fluidez, KAIST, Korea University, Sungkyunkwan University), led by Professor Insik Shin (CEO of Fluidez Co., Ltd.) of the School of Computing, was selected as the inaugural AI Champion (1st place) in the '2025 Artificial Intelligence Champion (AI Champion) Competition,' hosted by the Ministry of Science and ICT.
This competition is the nation's largest AI technology contest, comprehensively evaluating the innovativeness, social impact, and commercial potential of AI technology. With 630 teams participating nationwide, the AutoPhone Team claimed the top honor and will receive 3 billion Korean won in research and development funding.
The technology developed by the AutoPhone Team, 'FluidGPT,' is a fully autonomous AI agent that understands a user's voice command and enables the smartphone to independently run apps, click, input, and even complete payments.
For example, when a user says, "Book an SRT ticket from Seoul Station to Busan," or "Call a taxi," FluidGPT opens the actual app and sequentially performs the necessary steps to complete the request.
The core of this technology is its 'Non-Invasive (API-Free)' structure. Previously, calling a taxi using an app required directly connecting to the app's internal system (API communication) through the taxi app's API. In contrast, this technology does not modify the existing app's code or link an API. Instead, the AI directly recognizes and operates the screen (UI), acquiring the ability to use the smartphone just like a human.
As a result, FluidGPT presents a new paradigm—"AI that sees, judges, and moves a hand on behalf of a person"—and is evaluated as a core technology that will usher in the 'AI Phone Era.'
FluidGPT moves beyond simple voice assistance to implement the concept of 'Agentic AI' (Action-Oriented Artificial Intelligence), where the AI directly views the screen, makes decisions, and takes action. As a fully action-oriented system, the AI clicks app buttons, fills in input fields, and references data to autonomously achieve the user's objective, foreshadowing an innovation in how smartphones are used.
Professor In-sik Shin of the School of Computing shared his thoughts, stating, "AI is now evolving from conversation to action. FluidGPT is a technology that understands the user's words and autonomously executes actual apps, and it will be the starting point of the 'AI Phone Era.' The AutoPhone Team possesses world-class research capabilities, and we will contribute to the widespread adoption of AI services that everyone can easily use."
KAIST President Kwang Hyung Lee remarked, "This achievement is a representative example that demonstrates KAIST's vision for AI convergence," adding, "AI technology is entering the daily lives of citizens and leading a new wave of innovation." He further added, "KAIST will continue to lead research in future core technologies such as AI and semiconductors to bolster national competitiveness."
2025.11.06 View 6708 -
KAIST and the World Bank Launch Digital Innovation Initiative to Boost Youth Employment in East Africa
Daejeon, Republic of Korea — November 2025 — KAIST has joined forces with the World Bank to launch a new initiative aimed at advancing youth employment and social protection systems through digital innovation in East Africa. The project, titled “Enhancing Youth Employment Policies through Digital Technologies,” will be implemented in Rwanda, Kenya, and Tanzania over the next three years.
The initiative is jointly led by Professor Kyung Ryul Park of the KAIST Graduate School of Science and Technology Policy, John Van Dyck, Director of the World Bank’s Social Protection and Labor (SPL) Global Practice, and Yoon Young Cho, Senior Economist at the World Bank. Supported by the Korea–World Bank Partnership Facility (KWPF), the project is funded at approximately KRW 1.4 billion (USD 980,000) and will run through 2028.
The collaboration aims to strengthen youth employment and advance the digital transformation of social protection systems in East Africa. In many developing countries, such systems are still managed manually, resulting in inefficiencies and inaccuracies. To address these challenges, the project will establish AI- and big data–driven digital social registry systems that enhance transparency, accuracy, and efficiency in social service delivery.
Beyond technology transfer, the project will also explore broader social and policy challenges that arise in digital labor markets — including algorithmic bias, ethical considerations in AI, and new forms of inequality. Through this work, the partners aim to develop a new model for an “inclusive AI transition,” ensuring that technological innovation contributes to social inclusion and sustainable development. Findings from the project will be published in World Bank reports and policy briefs.
As a global leader in digital governance and data-driven policymaking, South Korea’s experience is expected to play a key role in helping East African governments design and implement resilient, inclusive, and data-based labor and social protection systems.
The KAIST Global Center for Development and Strategy (G-CODEs) will organize two international workshops in collaboration with the Korea Development Institute (KDI), the Ministry of Employment and Labor of Korea, and the Kenya Advanced Institute of Science and Technology (Kenya-AIST). These workshops will help local officials build capacity in applying digital technologies, while providing KAIST researchers and students with hands-on experience in global development cooperation.
A kickoff workshop was held during the World Bank Annual Meetings earlier this month, with participation from Professors Kyung-Ryul Park and Seok-Kyun Woo (Graduate School of Science and Technology Policy), Dean Ji-Yong Eom (Graduate School of Green Growth and Sustainability), Researcher Seung-Hyun Kim, and Consultant Ji-Su Sim (M.S. Class of 2025, STP).
“This collaboration is not merely a technical project but an innovative effort to digitally connect youth employment and social protection systems,” said John Van Dyck, Director of the World Bank SPL Global Practice. “It will help East African governments design sustainable and inclusive digital labor infrastructures.”
Yoon Young Cho, Senior Economist at the World Bank, added, “The project seeks to digitalize social protection systems in East Africa to promote youth employment and social inclusion, focusing on building sustainable, government-led public digital solutions.”
Professor Kyung-Ryul Park of KAIST stated, “Through this partnership with the World Bank, we hope to support inclusive development in East Africa while offering KAIST researchers and students valuable opportunities to learn and grow through real-world international cooperation.”
2025.11.05 View 7122 -
KAIST Welcomes NVIDIA CEO Jensen Huang’s Cooperation Initiative “Strengthening Collaboration in AI and Robotics Innovation”
KAIST (President Kwang Hyung Lee) announced its strong support for the meeting between Korean President Jae-myung Lee and NVIDIA CEO Jensen Huang on October 31, where both sides discussed strategies to advance Korea’s AI ecosystem.
KAIST stated that the meeting marks “a significant turning point for Korea’s AI innovation and global cooperation.” During the discussion, NVIDIA, a global leader in artificial intelligence, explored partnership opportunities with the Korean government to realize its vision of becoming one of the “Top Three AI Nations” and achieving an “AI-based Society.”
NVIDIA also unveiled plans to expand Korea’s AI computing infrastructure by introducing more than 260,000 of its latest GPUs, while strengthening technology cooperation to meet both public and private sector AI demand.
The meeting covered a wide range of potential collaborations, including:
Building advanced AI infrastructure, joint research and technology cooperation in physical AI (AI in robotics, autonomous systems, and manufacturing), and
expanding AI talent development and startup support programs.
At the APEC CEO Summit, NVIDIA CEO Jensen Huang said, “NVIDIA’s goal is not only to provide hardware to Korea, but to help build a sustainable AI ecosystem. And we will work closely with AI researchers in Korea universities, amazing university like KAIST, startups, the government, and research institutions to become the AI Frontier.”
He further emphasized that, “The evolution of AI will inevitably converge with robotics. Realizing autonomous robots and robotic factories that can work alongside humans represents the next stage and ultimate goal of AI technology.”
As Korea’s leading AI research institution, KAIST has long collaborated with government and industry partners in key areas such as AI semiconductors, autonomous driving, robotics, digital twins, and quantum computing.
Building on this dialogue, KAIST plans to further strengthen its partnership with NVIDIA and major domestic industries through next-generation AI semiconductor and HBM (High Bandwidth Memory) research, physical AI applications in robotics and autonomous systems, hands-on AI education and talent development, and global open innovation through academia–industry joint research.
KAIST President Kwang Hyung Lee stated: “AI is the core driver of national competitiveness. Jensen Huang’s visit represents a symbolic milestone as Korea emerges as a global leader in AI.” He added: “Huang’s vision of integrating AI and robotics aligns perfectly with KAIST’s research direction. KAIST will continue to work closely with NVIDIA to build an AI innovation ecosystem that benefits humanity.”
Following CEO Huang’s proposal, KAIST will further concretize its collaboration with NVIDIA and expand partnerships with both global enterprises and domestic industries.
Through these efforts, KAIST aims to advance AI research clusters, develop next-generation AI computing platforms, nurture AI professionals, and foster a vibrant startup ecosystem, contributing continuously to Korea’s global AI competitiveness.
2025.11.03 View 6123