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KAIST and Seoul National University Students Hold 100-Hour Robot Hackathon to Nurture Physical AI Talent
KAIST (President Choongsik Bae) announced on August 4 that RoboticUS, a joint student organization formed by students from KAIST and Seoul National University, is holding the inaugural Robot Hackathon at KAIST from August 3 to 8.
"In the era of Physical AI, we need convergence talent who can go beyond building good AI to design and implement robots and systems that move the real world based on AI," said Choongsik Bae, President of KAIST. "This hackathon, planned and run entirely by students, is a good example of KAIST's culture of challenge and collaboration, and we expect it to become a new educational model for turning future technologies into reality," he added.
The hackathon puts this educational philosophy directly into students' hands. It is Korea's first student-led Physical AI robot hackathon, planned and run by students from KAIST and Seoul National University across institutional boundaries. Participants experience the entire process of designing and building working robots, developing hands-on capabilities that integrate AI and hardware.
The event is hosted by RoboticUS, a nonprofit student organization formed jointly by MR, a robotics club in KAIST's Department of Mechanical Engineering, and Seoul National University's robotics clubs SHAPE and SIGMA. Students who share a passion for robotics from the two universities joined forces across institutional lines, handling every stage themselves — from recruiting participants to designing the mission, running the event, and setting up the presentation and judging format. KAIST's Department of Mechanical Engineering supports the event with facilities and operational assistance so that the students' initiative can translate into genuine educational value.
Ten teams — 30 students total — selected from the two universities will take part. After receiving training in power circuits and robot joint control on August 3 and 4, participants will begin building their robots when the mission is unveiled on the morning of August 5 and continue working until 4 p.m. on August 8. Starting from an idea, they will go through design, assembly, programming, and repeated testing to complete a working robot — experiencing the full roughly 100-hour cycle themselves.
Each team will be provided with Angel Robotics' "phact" actuator, which serves as the robot's joints and muscles, and NVIDIA's Jetson AGX, which functions as the robot's brain. Taejin Technology Co., Ltd will provide training on circuits and electronic components for supplying stable power to the robots, and Angel Robotics will support hands-on training in using the actuators and controlling the robots.
Participants will not simply assemble a finished kit — they will design the robot's shape and movement from the ground up and build it themselves.
For fairness, the mission will be revealed only at the start of the hackathon on August 5. There is no single correct answer or predetermined robot form. Each team will interpret the same mission differently, combining mechanical structure, circuitry, AI, and control software into a single robot. One of the highlights will be seeing the different solutions the ten teams develop in response to the same mission.
The final day, August 8, will be an open Physical AI festival that welcomes the general public. A public conference at the KI Building (E4) Fusion Hall will introduce the current state of Physical AI in an accessible and engaging way — from robotic skin that lets robots feel touch like humans, to humanoid robots that can see and hear people, to a quadrupedal robot that has completed a marathon.
Professors Jung Kim, Yong-Hwa Park, and Jemin Hwangbo of the Department of Mechanical Engineering, along with Joon-Ha Kim, CEO of Diden Robotics, will each give a talk on robotic skin and haptics, multimodal perception in humanoid robots, the quadrupedal robot Raibo, and the journey of developing Physical AI for industrial use, respectively.
After the conference, an open demo day for the ten participating teams will run from 4 to 5 p.m. at KAIST's Culture Complex (E9), 3rd floor. Members of the public will be able to visit each team's booth, watch the robots the students built over 100 hours in action, and submit their own evaluations via QR code.
Judging criteria include mission achievement, technical execution, creativity, and presentation and demonstration. The final score will weight faculty advisor evaluation at 30%, peer evaluation among hackathon participants at 30%, sponsor judging panel evaluation at 30%, and pre-registered public attendee evaluation at 10%.
Angel Robotics and Taejin Technology are taking part as core technology partners, providing equipment and training. Faculty members and industry experts are providing education and technical guidance so that students can safely handle equipment used in real research and industrial settings.
"Physical AI's competitiveness comes not just from software but from hardware and control technology," said Kyoungchul Kong, Professor from Mechanical Engineering at KAIST and Head of the Future Technology Institute at Angel Robotics. "This hackathon will show that with high-performance robot components and the right development environment in place, even undergraduates can turn their imagination into a working robot in 100 hours," he added.
"This hackathon is about learning and building together, rather than competing between schools," said Yeonsu An, President of RoboticUS (and President of MR, KAIST's robotics club). "We hope the general public will get to experience the robots students have built firsthand and take part in the judging, coming away with the sense that Physical AI is a technology anyone can understand and enjoy — not just something for experts," she added.
“Although we do not yet know what the challenge will be, I am most looking forward to gathering in one place and developing robots together,” said Hyeontae Jeon, a participating student from Seoul National University. “It will be even more meaningful to work through challenges across university boundaries and present the robots we built ourselves to the public.”
The public conference is open to anyone through pre-registration. Pre-registered attendees can watch the lectures, view the open demo day, and take part in on-site judging. Registration is available on the RoboticUS official website or on Event-us, under "First Robot Hackathon – Robot & AI Public Conference (KAIST × SNU)." Registration closes August 6.
2026.08.04 View 4684 -
KAIST Develops AI That Avoids Hallucinating Even at Night or in Smoke
Multimodal large language models (MLLMs), which process multiple types of sensory information such as text, images, and audio at the same time, are rapidly expanding the range of applications for artificial intelligence (AI). However, in real-world environments, these models can misinterpret the physical characteristics of sensors, mistakenly identify objects, or claim to hear sounds that are not actually present simply because a certain object appears in a video. These errors are known as hallucinations. A KAIST research team has developed a new technology that corrects such information confusion and physical misperceptions in AI.
KAIST (President Choongsik Bae) announced on the 31st of July that a research team led by Professor Yong Man Ro from the School of Electrical Engineering has developed two core technologies that overcome the tendency of existing large language models to rely too heavily on ordinary camera (RGB) images and enable AI to suppress cross-modal hallucinations that occur when different sensory inputs become mixed.
The first technology developed by the research team is the Diverse Negative Attributes (DNA) optimization method, which helps AI accurately understand the physical characteristics of special camera sensors such as thermal, depth, and X-ray sensors. Existing AI models often failed to understand the physical meaning of such images, for example by mistaking bright areas in thermal images for simple light reflection.
The research team built VS-TDX, the first comprehensive benchmark for evaluating diverse vision sensors, and used the types of wrong answers that AI frequently produces as learning signals to help the model internalize the characteristics of each sensor. As a result, the AI gained a “new eye” that allows it to accurately infer the state of objects even in darkness or smoke.
The second technology is Modality-Adaptive Decoding (MAD), a control method that blocks hallucinations caused by confusion between visual and auditory information at the source. This technology prevents AI from mistakenly claiming that it hears a sound that does not actually exist simply because a certain object appears in a video.
MAD works by having the AI self-assess whether vision or audio is more important for a given task, and then increasing the weight of the more relevant modality in real time. A key advantage of this technology is that it can immediately suppress hallucination errors without costly model retraining, as it is training-free.
Instead of retraining AI models at large scale with massive computing resources, the research team maximized cost efficiency by introducing the DNA method, which enables fine adjustment with only a small amount of data, and the
MAD plug-in approach, which requires no additional training at all.
These technologies can be applied to autonomous vehicles operating at night or in bad weather, robots performing missions in smoke-filled environments, and unmanned aerial vehicles using thermal cameras. They are also expected to be useful in fields that process multiple types of sensor information together, such as airport X-ray security screening and medical image analysis.
Professor Yong Man Ro said, “This research is significant because it reduces AI’s sensory bias and misperceptions without large-scale retraining,” adding, “It will serve as a foundation for building multimodal AI that can be trusted in real-life and industrial settings.”
This achievement was notable for its continuity, with Sangyun Chung, a doctoral student in KAIST’s School of Electrical Engineering, participating as first author in both studies. Dr. Youngjun Yoo also participated as co-first author in the DNA study.
Among the related papers, the MAD study was presented in June at the Conference on Computer Vision and Pattern Recognition (CVPR), the world’s leading international conference in AI and computer vision. The DNA study was published in IEEE Transactions on Image Processing, a leading international journal in the field of image processing.
Paper title: Enhanced Vision-Language Models for Diverse Sensor Understanding: Cost-Efficient Optimization and Benchmarking,
DOI: 10.48550/arXiv.2412.20750 Author information: Sangyun Chung (KAIST, co-first author), Youngjun Yoo (KAIST, co-first author), Se Yeon Kim (KAIST, third author), Youngchae Chee (KAIST, fourth author), Yong Man Ro (KAIST, corresponding author)
Paper title: MAD: Modality-Adaptive Decoding for Mitigating Cross-Modal Hallucinations in Multimodal Large Language Models,
DOI: 10.48550/arXiv.2601.21181
Author information: Sangyun Chung (KAIST, first author), Se Yeon Kim (KAIST, second author), Youngchae Chee (KAIST, third author), Yong Man Ro (KAIST, corresponding author)
Related demo video: https://youtu.be/VuP9i6Vfk8o
This research was supported by the Institute of Information & Communications Technology Planning & Evaluation’s (IITP’s) Human-Centered AI Core Technology Development Program and by a Center for Applied Research in Artificial Intelligence (CARAI) grant funded by the Defense Acquisition Program Administration (DAPA) and the Agency for Defense Development (ADD).
2026.08.03 View 3002 -
KAIST Develops Next-Generation Database Technology That Reduces AI Hallucinations and Improves Accuracy by 78%
One of the greatest weaknesses of AI agents that read and understand vast amounts of enterprise data is “hallucination” — the generation of plausible-sounding but factually incorrect information. KAIST researchers have developed a next-generation database technology capable of understanding documents, data, and relationships among entities all at once. The technology improves AI response accuracy by up to 78% and processing speed by up to 20 times, addressing a key challenge in the commercialization of enterprise AI.
KAIST, led by President Kwang Hyung Lee, announced on the 19th that a research team led by Professor Min-Soo Kim of the School of Computing, in collaboration with faculty startup GraphAI Co., Ltd., has developed “AkasicDB,” a next-generation database technology that integrates the functions of vector databases, graph databases, and relational databases into a single database management system (DBMS). Based on this technology, the team also developed a new Retrieval-Augmented Generation (RAG) method called “Omni RAG.”
AkasicDB is designed to integrate and execute the functions of vector databases, which convert the meaning of documents or images into numerical vectors to search for similar information; graph databases, which store and analyze relationships among entities such as people, companies, and products; and relational databases, which systematically manage data in table form. Omni RAG, developed on this foundation, improves the accuracy of generative AI responses by simultaneously utilizing semantic information from documents, relationships among entities, and structured data.
AI agents have recently been spreading rapidly based on RAG technology, which searches vast collections of corporate documents and expert knowledge and generates responses based on the retrieved information. However, real-world enterprise data is distributed across various forms, including documents, tables, and relationships among entities, making it difficult for AI to comprehensively understand and use the data. As a result, AI may generate factually incorrect responses without sufficient grounding, creating hallucination issues that have been regarded as a major obstacle to the broader adoption of enterprise AI.
Conventional RAG typically works by converting user queries and documents into vectors, retrieving semantically similar documents, and providing them to a large language model (LLM), an AI model trained on massive datasets to generate human-like language. While this approach is effective for searching unstructured documents, it has limitations when handling complex queries that must also consider relationships among entities in documents or structured conditions such as specific periods, types, or ranges.
For example, a query such as, “Find clauses related to Company A among contracts signed last year, and explain how those clauses are connected to product supply issues,” requires vector search to identify document meaning, graph search to explore relationships among entities, and relational queries to filter by date and type. In existing systems, this required building multiple types of databases separately and combining the results at the application layer, leading to management complexity and response delays.
To solve this problem, the research team proposed Omni RAG, which integrates vector similarity search, graph traversal, and relational filtering within a single query and execution plan. Omni RAG identifies more accurate evidence by simultaneously utilizing semantic information from documents, relationship information from knowledge graphs, and structural conditions from tabular data, significantly reducing AI hallucinations.
AkasicDB, developed to support this method, adopts a new architecture that integrates graph databases, vector databases, and relational databases into a single engine. Users can express complex RAG queries that combine vector search, graph traversal, and relational filtering as a single SQL/GQL* query, and AkasicDB optimizes and processes the query as one unified execution plan.
SQL/GQL, or Structured Query Language/Graph Query Language, refers to command languages used to search or modify information stored in databases. SQL is the traditional language used to handle tabular data, while GQL is a language dedicated to graph data and is used to analyze connections among entities such as people, companies, and products.
Through this integrated architecture, AkasicDB minimizes unnecessary intermediate result generation and data movement, greatly reducing the number of tokens used by LLMs and shortening response latency. In experiments, complex search queries that took up to 21.3 seconds in existing systems were processed in under one second, achieving a performance improvement of more than 20 times. Omni RAG also improved response accuracy by up to 78% compared with conventional RAG. These results demonstrate its potential to substantially mitigate hallucination, one of the core challenges for enterprise AI agents.
Professor Min-Soo Kim said, “For AI agents to accurately understand and utilize the vast amounts of data held by enterprises, data infrastructure capable of processing vector, graph, and relational data in an integrated manner within a single system is essential. AkasicDB is a next-generation database technology for the era of AI agents, and we expect it to be used as core data infrastructure in fields requiring high reliability, including defense, manufacturing, finance, law, science, and technology.”
KAIST School of Computing Ph.D. student Geonho Lee participated in this research as the first author. The research results were presented as a demo paper on June 2 at ACM SIGMOD 2026, one of the world’s most prestigious international conferences in the field of databases, where they drew strong interest from global companies and researchers.
※ Paper title: AkasicDB: Demonstrating Omni RAG with a Unified Vector-Graph-Relational DBMS
DOI: https://doi.org/10.1145/3788853.3801609
※ Author information: Geonho Lee, KAIST, first author; Jeongho Park and Donghyoung Han, GraphAI Co., Ltd., co-authors; Professor Min-Soo Kim, KAIST, corresponding author
※ Demonstration video: https://www.youtube.com/watch?v=KD6MznZ61P4
2026.06.19 View 4500 -
Seeking Innovative Financial Solutions to Help Deep Tech Startups Overcome the Valley of Death
KAIST announced on June 16 that it will co-host 'STARTUP NATION KOREA 2026' (2026 Innovation Entrepreneurship Nation Korea International Forum) with Seoul National University and The JoongAng from June 17 to 18 at the Haedong Advanced Engineering Building on Seoul National University's Gwanak Campus.
Celebrating its 5th anniversary this year, the forum serves as a platform to overcome the so-called 'R&D Paradox'—where outstanding research and development achievements fail to fully connect with entrepreneurship and industry—and to seek solutions for realizing a science and technology-based innovation entrepreneurship nation. Universities, government agencies, research institutions, investment firms, conglomerates, startups, and media will participate to discuss cooperative methods for connecting technological potential to market and industrial value.
In particular, this year's forum focuses on the role of patient capital and innovative finance, which are critical challenges for the growth of deep tech startups, under the theme “Deep Tech: Beyond the Valley of Death.”
Deep tech startups require long-term investment and large-scale funding throughout the entire process from research and development to technology verification, demonstration, and market entry. However, the domestic venture investment market is relatively focused on short-term returns, often causing these startups to face severe difficulties during the commercialization phase. Therefore, this forum will intensively discuss strategies to establish an innovative financial ecosystem where 'patient capital'—which invests based on the long-term growth potential of technology—is organically linked with investments, guarantees, and policy finance required for the entire life cycle of technology commercialization.
Kwang Hyung Lee, President of KAIST, said, “Although Korea possesses world-class R&D capabilities, major barriers still exist in the process of translating research achievements into startups and new industries. I hope this forum serves as a collective effort to seek solutions through patient capital, innovative finance, and a sustainable entrepreneurial ecosystem so that deep tech startups can overcome the valley of death and grow into the global market.”
Hyun Min Bae, Director of the KAIST Startup Institute, stated, “The success of deep tech entrepreneurship cannot be achieved through technology alone. Through this forum, we look forward to discussing the growth ladders and collaborative measures that connect laboratory technologies to markets, investments, and global expansion, thereby discovering a new direction for Korea's deep tech startup ecosystem.”
On the first day of the forum, Professor Jeong Dong Lee of the College of Engineering at Seoul National University, author of The Way of Accumulation and The First Question, will deliver a keynote speech emphasizing the role of finance in accelerating technological innovation and the importance of patient capital. This will be followed by a roundtable featuring domestic and international experts to discuss long-term investment case studies and policy directions for innovative finance.
In addition, the presentation ceremony for the '2026 Korea Innovation Entrepreneurship Awards' will be held simultaneously. This year, a total of 13 awards will be presented across three categories: the Innovation Entrepreneurship Award, the Innovation Entrepreneurship Challenge Award, and the Innovation Entrepreneurship Ecosystem Contribution Award.
The recipients of the Innovation Entrepreneurship Award include Sovagen, EndoRobotics, WIRobotics, Exo Systems, Marine Drone Tech, Daughter, MUSTBIO, IMNEWRUN, and Narnia Labs. These companies are promising deep tech enterprises recognized for their technological innovation and growth potential in national strategic sectors such as AI, robotics, bio/healthcare, drones, and mobility.
The Innovation Entrepreneurship Challenge Award will be presented to Scionic AI, RX, and TDS Innovation, while the Innovation Entrepreneurship Ecosystem Contribution Award will be awarded to the Commercialization Promotion Agency for R&D Outcomes (COMPA).
Kyeong Hwan Kim, Chair of the Evaluation Committee (Dean of the Graduate School of Global Entrepreneurship at Sungkyunkwan University), remarked, “Promising deep tech companies that will lead future industries in fields like AI, robotics, semiconductors, and bio have stood out remarkably. This contest was a meaningful opportunity to confirm the robust growth potential of Korea's innovation entrepreneurship ecosystem.”
An exhibition featuring innovative startups and various programs linked with government ministries will also run throughout the event. Participating companies will showcase their breakthrough technologies in sectors including AI, robotics, bio/healthcare, advanced materials, energy, and mobility, while exploring collaboration opportunities with investment institutions and industry leaders. Notably, WIRobotics plans to exhibit its humanoid robot 'ALLEX', which was previously unveiled at CES 2026.
The forum is co-hosted by KAIST, Seoul National University, and The JoongAng, and sponsored by major agencies including the Ministry of Science and ICT, the Ministry of Trade, Industry and Energy, and the Ministry of SMEs and Startups. The event will be broadcast live via the official YouTube channel and website of STARTUP NATION KOREA 2026.
2026.06.16 View 6214 -
Student Entrepreneur Inseo Chung Donates 1 Billion Won to Foster Inclusive AI Talent
< Photo of the Donation Agreement Ceremony >
KAIST announced on March 11th that Inseo Chung (28), an undergraduate student in the School of Interdisciplinary Studies and CEO of the global music-tech startup MPAG, donated 1 billion won in development funds on the 10th to foster ‘Inclusive AI’ talent. Inclusive AI talent refers to experts who research and develop AI technologies so that the socially vulnerable, including people with disabilities and the technologically marginalized, can also enjoy the benefits of AI technology.
Inseo Chung is a student entrepreneur who has dedicated himself to “solving social problems through technology” while balancing startup activities and research during his studies. Alongside his academic advisor, Professor Hyunwook Ka of the School of Interdisciplinary Studies, he has consistently researched how technology can embrace those who are marginalized.
His research, including software for the hearing impaired, studies for users requiring linguistic support in media, and bidirectional assistive technology devices for the visually and hearing impaired, has garnered attention at domestic and international conferences. This work has also led to several patent applications filed under the name of KAIST.
He founded the global music-tech startup MPAG, which operates a sheet music sales platform and AI music education service with over 4 million members worldwide, and is also developing features to provide braille sheet music for the visually impaired.
The donation will be used to establish a Master’s and Doctoral Education & Research Program in ‘AI-based Assistive Technology’ for the disabled and the technologically and socially vulnerable within the newly established KAIST AI College. This program aims to conduct research on AI-based rehabilitation assistive technology, nurture Master’s and Doctoral-level experts in the field, and build an inclusive technology ecosystem. Professor Hyunwook Ka, an expert in this field, will lead the operation and guidance of the degree program to ensure research continuity and expertise.
Inseo Chung emphasized, “As AI technology advances exponentially, it is absolutely necessary to expand into ‘Inclusive AI’ so that its benefits reach the disabled and the technologically marginalized. I am confident that through a formal graduate program, the number of experts in this field will grow, and KAIST’s specialized AI research capabilities will serve as the catalyst.”
This is not Inseo Chung’s first donation. He previously donated through the KAIST Development Foundation in 2024 and 2025 before contributing an additional 1 billion won this year. The 2024 donation was used to create the ‘Creative Workshop’ for junior students in the School of Interdisciplinary Studies to realize their creative ideas, and the 2025 donation was allocated to the School of Computing.
President Kwang Hyung Lee stated, “The decision by student Inseo Chung to donate the fruits of his startup efforts for the future of his alma mater and the realization of social values serves as a great inspiration to all members of KAIST. We will do our best to nurture inclusive AI talent so that the benefits of technology can spread throughout society, honoring the donor’s intent.”
2026.03.11 View 3473 -
Three Generations of ‘Giving DNA’ Meets ‘KAIST DNA’
KAIST announced on February 26th that it has received 5.06 billion KRW in development funds, embodying the noble spirit of sharing from a single family. This donation is particularly meaningful as it was completed across three generations: rooted in a grandmother’s legacy, the father decided on the donation, and the daughter put that intention into action.
The donor stated, “I hope the research achievements of KAIST’s young scientists shine brighter than the donor’s name,” and declined all appointment ceremonies or honorary events where their name would be revealed. In accordance with the donor’s wishes, all procedures were conducted simply, and their identity will remain private.
The donor, a Seoul resident in their 70s, achieved success by building a business based on the legacy of their mother, who practiced sharing throughout her life. Recently, they decided to return a portion of their mother’s legacy to society. Having grown up watching their mother practice benevolence, donating was a natural choice. This decision was finalized through the daughter’s concrete execution. The donor’s daughter played a leading role in the entire donation process, serving as a bridge to pass the family’s spirit of sharing down to the next generation.
The donor remarked, “The sharing my mother practiced her whole life was our family’s greatest asset. Now, together with my daughter, I wish to pass that precious value to the leading figures of Korean science.” They added, “If this fund can provide practical help to young scholars, that alone is a sufficiently rewarding thing.”
Our university has decided to establish the ‘Cho Gi-yeop Next-Generation Research Leader Fellowship,’ named after the donor’s mother. The ‘Cho Gi-yeop Fellowship’ is designed as a principal-preserved fund, where the 5 billion KRW principal is maintained and the program is operated using the investment returns. Additionally, expressing the wish to “support young scientists as soon as possible,” the donor contributed an extra 60 million KRW for the first year of the program’s implementation.
Accordingly, starting this year, three ‘Cho Gi-yeop Fellows’ will be selected annually and supported with 20 million KRW each in academic activity expenses for three years. The fellowship is aimed at junior faculty members, specifically assistant and associate professors before tenure. This period is a ‘golden time’ when research capabilities grow explosively and innovative achievements are concentrated, but it is also a time when securing stable research funding is desperately needed. The support funds will be used to enhance research autonomy and scalability, such as for challenging research planning, international academic activities, and the expansion of research infrastructure. KAIST expects this fellowship to serve as a practical foundation for young researchers to make a global leap forward.
2026.02.26 View 3601 -
KAIST Proposes a Multinational AI Cooperation Strategy Beyond U.S.–China Dominance
2026.01.19 View 5610 -
Chairman Jae-Chul Kim of Dongwon Group Donates a Total of 60.3 Billion Won to KAIST
<Jae-Chul Kim, Honorary Chairman of Dongwon Group>
"In the era of AI, a new future lies within the sea of data. I ask that KAIST leaps forward to become the world's No. 1 AI research group." — Jae-Chul Kim, Honorary Chairman of Dongwon Group
KAIST announced on January 16th that Honorary Chairman Jae-Chul Kim of Dongwon Group has pledged an additional 5.9 billion KRW in development funds to foster Artificial Intelligence (AI) talent and strengthen research infrastructure, bringing his total contribution to 60.3 billion KRW. This marks his second additional donation since 2020, continuing his steadfast support for strengthening South Korea's national competitiveness in the field of AI.
Through his initial donation in 2020, Chairman Kim established the 'Kim Jaechul Graduate School of AI' at KAIST, urging the university to secure world-class capabilities. Upon hearing that KAIST’s AI research level ranked 5th among global universities over the past five years (2020–2024), Chairman Kim requested that the university strive to reach the No. 1 spot in the world.
In response, President Kwang Hyung Lee explained, "To surpass Carnegie Mellon University (CMU), which is currently evaluated as the world’s best with an AI faculty of about 45, the KAIST Graduate School of AI needs to expand its faculty to over 50 and construct a dedicated research building." Chairman Kim responded by saying, "I will build the building," and this latest donation is a fulfillment of that promise.
This third pledge of 5.9 billion KRW was decided to cover the projected budget shortfall as the design of the AI Education and Research Building enters full-scale development.
The AI Education and Research Building will be a facility with 8 floors above ground and 1 basement level, covering a total floor area of 18,182 m² (approx. 5,500 pyeong). It is scheduled for completion in February 2028. Once finished, it will serve as a global AI research hub housing 50 faculty members and 1,000 students.
Since the 2021 academic year, KAIST has been selecting 60 Master’s and 10 Doctoral students annually as 'Dongwon Scholars' outside of the regular quota for a period of 10 years. While the tuition and research incentives for the first three years were supported by the donation, KAIST has been utilizing its own budget since the 2024 academic year to ensure students can focus entirely on their research.
Moving forward, the Kim Jaechul Graduate School of AI plans to build a world-class faculty and operate systematic Master's and Doctoral programs to cultivate global AI leaders. In addition to technical expertise, the school will offer educational programs focused on character and holistic development, leading the charge in strengthening Korea's AI competitiveness.
Honorary Chairman Jae-Chul Kim stated, "I hope this donation serves as a small 'priming water' for South Korea to leap forward as an AI powerhouse. I look forward to seeing global core talents grow here and contribute to our national strength."
President Kwang Hyung Lee expressed his gratitude, saying, "Chairman Kim’s unwavering support is the greatest driving force for KAIST to secure global AI sovereignty. We will ensure the Kim Jaechul Graduate School of AI becomes a mecca where the world's best AI minds gather to innovate, honoring the Chairman’s vision."
2026.01.16 View 4936 -
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 5333 -
KAIST Professor and Alumni Who Won AIxCC Donate 150 Million KRW of Prize Money to Their Alma Mater
<(From Left) Professor Insu Yun from KAIST School of Electrical Engineering, Researcher HyungSeok Han from Samsung Research America>
KAIST (President Kwang Hyung Lee) announced on the 23rd of November that HyungSeok Han (Ph.D. alumnus from the School of Computing) and Insu Yun (B.S. alumnus, currently Associate Professor in the School of Electrical Engineering) donated 150 million KRW from the prize money won by Team Atlanta, which took first place in the world’s largest AI security competition, the “AI Cyber Challenge (AIxCC),” organized by the U.S. Defense Advanced Research Projects Agency (DARPA).
The AIxCC final round was held this August in Las Vegas, where Team Atlanta—a joint team consisting of researchers from Samsung Research, KAIST, POSTECH, and Georgia Tech—secured the top prize. AIxCC is the world’s largest AI security competition, with a total prize pool of 29.5 million USD (approx. 41 billion KRW). Over the past two years, security companies and research teams worldwide have competed with AI-based security technologies, showcasing state-of-the-art capabilities.
A total of 91 teams registered for the competition, 31 teams participated in the qualifiers, and 7 teams advanced to the finals. Team Atlanta won the first-place prize of 4 million USD (approx. 5.8 billion KRW), securing victory with an overwhelming margin comparable to the combined scores of the second- and third-place teams. The team also swept major titles such as “Most Vulnerabilities Identified” and “Highest Scoring Team,” demonstrating exceptional technical superiority.
HyungSeok Han earned his B.S. (2017) and Ph.D. (2023) from the KAIST School of Computing, then worked as a postdoctoral researcher at Georgia Tech before joining Samsung Research America where he currently works. In the competition, he served as the team leader for the development of the automatic vulnerability detection system and oversaw system integration and infrastructure, making major contributions.
Insu Yun received his B.S. (2015) from the KAIST School of Computing and his Ph.D. (2020) from Georgia Tech. Since 2021, he has been a faculty member in the KAIST School of Electrical Engineering. In this competition, he led the patch development team and played a central role in enhancing overall system completeness.
The two researchers decided to donate 150 million KRW of their prize money to the School of Computing and the School of Electrical Engineering. The School of Computing will use the donation as a scholarship fund, while the School of Electrical Engineering will apply it toward student education and research support, in line with the spirit of the donation.
Alumnus HyungSeok Han remarked, “Building a system in which AI autonomously discovers vulnerabilities and even generates patches has long been a dream of mine and an important milestone in the security field. I’m grateful to have achieved meaningful results together with KAIST alumni, and I hope KAIST will continue to exert a positive influence on global technological advancement.”
<Final Scoreboard>
Professor Insu Yun stated, “I’m truly grateful to every member of Team Atlanta. In particular, I want to thank Professor Taesoo Kim, our overall team leader and advisor, the students in our lab who worked tirelessly, and Dr. HyungSeok Han, who joined me in making this meaningful contribution.”
KAIST President Kwang Hyung Lee commented, “I deeply thank our alumni for achieving outstanding results on the world stage of technological competition and for generously giving back to their alma mater. This achievement demonstrates KAIST’s educational and research excellence and stands as meaningful evidence of the global competitiveness of Korea’s AI and security technologies. KAIST will continue to lead advanced AI and security innovation and do its utmost to nurture creative talent who will contribute to humanity and society.”
To encourage further alumni contributions, the KAIST Development Foundation is operating the Team KAIST (https://giving.kaist.ac.kr/ko/sub01/sub0103_1.php) campaign to promote alumni participation.
2025.11.24 View 3760 -
Imdang Scholarship and Culture Foundation Donates 500 Million Won to Modernize KAIST's Space Research Infrastructure
< Photo of the Chung Mong-Hun Uri-Star Research Building at the Satellite Research Center >
KAIST announced on the Novemnber 21st that it received a donation of 500 million won from the Imdang Scholarship and Culture Foundation and will proceed with an environmental improvement project for the 'Chung Mong-Hun Uri-Star Research Building' at the Satellite Research Center on the main campus in Daejeon.
The Imdang Scholarship and Culture Foundation is a non-profit scholarship foundation established in 2005 by Chairwoman Moon-Hee Kim, the mother of Hyundai Group Chairwoman Jeong-Eun Hyun. Currently, Executive Director Ji-Yi Chung of Hyundai Movex, Chairwoman Hyun's eldest daughter, serves as the Chairwoman of the Foundation. The foundation has been carrying out various projects over three generations to promote education, culture, arts, sports, and nurture talent.
This donation from the Imdang Scholarship and Culture Foundation once again brings the special and long-standing relationship between KAIST and the Hyundai Group into the spotlight.
The 'Chung Mong-Hun Uri-Star Research Building,' located on the main KAIST campus in Daejeon, was established with a donation from the late Mong-Hun Chung, former Chairman of the Hyundai Group and husband of Chairwoman Hyun, to foster the development of domestic space research. This enabled the launch of the nation's first dedicated university-affiliated space research organization. Following this, Chairwoman Hyun also continued to show special interest and affection for research support projects. The research building was named its current name in 2008 to commemorate the 5th anniversary of the passing of the late Chairman Mong-Hun Chung. In this way, the partnership between Hyundai and KAIST is regarded as a healthy example of corporate social contribution, where a company participates in the development of the knowledge ecosystem and the nurturing of talent.
The KAIST Satellite Research Center, housed in the 'Chung Mong-Hun Uri-Star Research Building,' was established in 1989 as the nation's first dedicated university-affiliated space research organization. Starting with 'Uribyol-1,' which signaled the start of South Korea's space development, it has led the development of various satellites, including next-generation small satellites and ultra-small satellite constellations, based on independent domestic technology, growing into a world-class small satellite research institution.
Currently, about 80 researchers are stationed at the research building, dedicated to developing cutting-edge small satellite technology. However, the inconvenience of transporting research equipment due to the absence of an elevator and the lack of accessibility for mobility-impaired individuals have been persistent issues.
KAIST plans to use this donation to install an elevator connecting the basement floor to the 4th floor above ground. This will increase the efficiency of transporting research equipment while providing a convenient movement environment for both visitors and researchers.
Furthermore, the public relations hall, which has been operating since 2008, will be renovated into an experiential exhibition space, applying the latest digital display techniques to allow visitors to see KAIST's space research achievements and history at a glance. Visited by over 1,000 people annually, including domestic and international students, the general public, research institutions, businesses, and government officials, this space is expected to become a place for experiencing and sharing KAIST's space technology development process and future vision.
To commemorate this project and express gratitude for the sponsorship, our university will hold a plaque of appreciation ceremony at the KAIST Seoul Campus President's Office on Friday, November 21st, at 3:00 PM. Chairwoman Jeong-Eun Hyun of the Hyundai Group, President Kwang Hyung Lee of KAIST, and Director Jaeheung Han of the KAIST Space Science Research Institute attended the event to exchange expressions of mutual cooperation and gratitude.
Hyundai Group Chairwoman Jeong-Eun Hyun stated, "The late Chairman Mong-Hun Chung supported the development of the KAIST Satellite Research Center with his deep passion for science and space," and "I hope this environmental improvement project will carry on his legacy, contribute to the development of Korean space technology, and serve as an opportunity for more young talents to foster their dreams."
KAIST President Kwang Hyung Lee stated, "The Chung Mong-Hun Uri-Star Research Building is a symbolic space for the development of South Korea's space technology, and this environmental improvement project will serve as an opportunity to enhance both research efficiency and the value of public experience," adding, "The meaningful sponsorship from the Imdang Scholarship and Culture Foundation will be a great source of strength for KAIST's future space research development."
2025.11.21 View 4269 -
Professor Sang Yup Lee Selected as IETI 'Laureate Distinguished Fellow'
<Professor Sang Yup Lee of the Department of Chemical and Biomolecular Engineering>
Professor Sang Yup Lee of KAIST Department of Chemical and Biomolecular Engineering has been selected as a 'Laureate Distinguished Fellow,' the highest rank of fellow, by the International Engineering and Technology Institute (IETI).
Professor Lee is a globally renowned biotechnologist who has been leading research on the sustainable production of bio-based chemicals, and he received the 'ENI Award' in 2018. With this selection, he stands shoulder-to-shoulder with the world's top scholars, including recipients of the Nobel, Fields, and Turing Prizes.
IETI is an international academic organization established in Hong Kong in 2015 to promote innovation and international cooperation in the fields of engineering, technology, and science. Each year, the institute selects researchers with significant academic influence worldwide and appoints them into three grades: Laureate Distinguished Fellow, Distinguished Fellow, and Fellow. Professor Lee has been named to the most prestigious grade among these.
<IETI 2025 Fellow Selection Photo>
A total of 70 new fellows were selected in 2025. Among them, 14 individuals were named Laureate Distinguished Fellows, which includes recipients of top honors such as the Nobel, Fields, and Turing Prizes. Besides Professor Lee, this group includes Dudley Herschbach of Harvard University (Nobel Prize in Chemistry), Vint Cerf of Google (Turing Award), and Shigefumi Mori of Kyoto University (Fields Medal).
IETI stated that the selection process involved a rigorous five-step procedure: nomination, qualification review, document screening, expert voting, and final evaluation. It also expressed hope that the newly appointed fellows will demonstrate academic leadership in their respective research fields and contribute to global scientific and technological innovation and the promotion of international cooperation.
2025.11.10 View 5325