KAIST announced that the National AI Research Lab (NAIRL) and the Global AI Frontier Lab co-hosted the 'Global AI Frontier Symposium 2025' at Seoul Dragon City on the 27th. The symposium was hosted by the Ministry of Science and ICT and the Institute for Information & Communications Technology Planning and Evaluation (IITP), and was attended by over 500 experts from indust...
Alongside text-based large language models (LLMs) including ChatGPT, in industrial fields, GNN (Graph Neural Network)-based graph AI models that analyze unstructured data such as financial transactions, stocks, social media, and patient records in graph form are being actively used. However, there is a limitation in that full graph learning—training the entire graph at once—requires massive ...
Managing radioactive waste is one of the core challenges in the use of nuclear energy. In particular, radioactive iodine poses serious environmental and health risks due to its long half-life (15.7 million years in the case of I-129), high mobility, and toxicity to living organisms. A Korean research team has successfully used artificial intelligence to discover a new material that can remove io...
The “2025 KAIST Global Entrepreneurship Summer School (2025 KAIST GESS),” organized by the Office of Global Initiative of the KAIST International Office (Vice President So Young Kim), successfully concluded. Now in its fourth year, the program was designed to provide KAIST students with firsthand experience of the world’s leading startup ecosystem in Silicon Valley, USA, and to strengthen ...
Advanced treatments, known as immunotherapies that activate T cells—our body's immune cells—to eliminate cancer cells, have shown limited efficacy as standalone therapies for glioblastoma, the most lethal form of brain tumor. This is due to their minimal response to glioblastoma and high resistance to treatment.
Color, as the way light\`s wavelength is perceived by the human eye, goes beyond a simple aesthetic element, containing important scientific information like a substance\`s composition or state. Spectrometers are optical devices that analyze material properties by decomposing light into its constituent wavelengths, and they are widely used in various scientific and industrial fields, including m...
KAIST researchers have discovered that \`DEAD-box helicases 54 (DDX54)\`, a type of RNA-binding protein, is the master regulator that hinders the effectiveness of immunotherapy—opening a new path for lung cancer treatment.
< (From left) Professor Gyu Rie Lee, Professor David Baker > Under the foundation of research cooperation established through the Ministry of Science and ICT's InnoCORE (InnoCORE) project, KAIST InnoCORE researchers have derived meaningful research results. Following a visit by Professor David Baker (University of Washington, USA), the 2024 Nobel Laureate in Chemistry, KAIST has revealed research findings on designing proteins that accurately recognize desired compounds using AI through joint research. KAIST announced on April 9th that Professor Gyu Rie Lee of the Department of Biological Sciences—a researcher participating in the AI-CRED Innovative Drug InnoCORE Research Group—successfully designed artificial proteins that selectively recognize specific compounds using AI through joint research with Professor David Baker. This research is characterized by using AI to design proteins that recognize specific compounds from scratch (de novo) and implementing them as functional biosensors. While the conventional approach mainly involved searching natural proteins or modifying some of their functions, this research is highly significant in that it ‘custom-built’ proteins with desired functions through AI-based design and even completed experimental verification. In particular, the research team successfully designed a protein that selectively recognizes the stress hormone cortisol and implemented an AI-designed biosensor based on it. This is evaluated as a case that extends beyond protein design to actual measurable sensor technology, solving the long-standing challenge of small-molecule recognition in the field of protein design. These research results are expected to be utilized in various fields such as disease diagnosis, new drug development, and environmental monitoring in the future. It can precisely detect biomarkers in the blood to diagnose diseases early and contribute to the development of targeted therapies through the design of proteins that selectively recognize specific molecules. Furthermore, it is expected that the implementation of customized biosensor technology will become possible, such as real-time monitoring of air and water quality through the development of sensors that detect environmental pollutants. Designing new proteins (de novo proteins) that recognize compounds has been considered a challenge in the field of protein design for a long time because it requires precise calculations at the atomic level. The research team developed an AI model that precisely reflects protein-ligand interactions and successfully designed binding proteins using it. As a result, artificial binding proteins were designed for six types of compounds, including metabolites and small-molecule drugs, and their functions were verified through experiments. In particular, a cortisol biosensor was developed by designing a chemical-induced dimer based on a new protein that binds with cortisol. A provisional patent for the relevant design technology has been filed in the United States. Professor Gyu Rie Lee stated, “This research experimentally proves that AI can be used to design proteins that precisely recognize specific compounds,” and added, “We plan to expand this into protein design technology that can be utilized in various fields such as disease diagnosis, new drug development, and environmental monitoring in the future.” Professor Gyu Rie Lee of the KAIST Department of Biological Sciences participated in this research as the first author, and Professor David Baker as the corresponding author. The study was published in the international academic journal Nature Communications on March 28, 2026. ※ Paper Title: Small-molecule binding and sensing with a designed protein family DOI: https://doi.org/10.1038/s41467-026-70953-8 Authors: Gyu Rie Lee, Samuel J. Pellock, Christoffer Norn, Doug Tischer, Justas Dauparas, Ivan Anishchenko, Jaron A. M. Mercer, Alex Kang, Asim K. Bera, Hannah Nguyen, Evans Brackenbrough, Banumathi Sankaran, Inna Goreshnik, Dionne Vafeados, Nicole Roullier, Hannah L. Han, Brian Coventry, Hugh K. Haddox, David R. Liu, Andy Hsien-Wei Yeh & David Baker < Image of Research Content Summary > Professor Gyu Rie Lee is a new professor who joined KAIST in February 2025 and leads the Protein Design Laboratory. She possesses world-class expertise in the field of precise protein complex design at the atomic level and is performing various research projects such as AI-based protein design, artificial enzyme design, and RNA-recognizing protein development. She is also participating as a mentor professor in the AI-CRED Innovative Drug Research Group of the InnoCORE project, conducting research on enzyme and peptide drug design. Professor Lee conducted research as a postdoctoral researcher and Staff Scientist in Professor David Baker’s laboratory (University of Washington, USA, Howard Hughes Medical Institute) from 2018 to 2024. Professor David Baker is a world-renowned scholar in the field of protein structure prediction and design and was awarded the Nobel Prize in Chemistry in 2024. Director Do-Heon Lee, a mentor professor of the AI-CRED Innovative Drug Research Group, stated, “This achievement is a meaningful result derived through cooperation between InnoCORE researchers and a global scholar,” and added, “We will further strengthen our research capabilities based on active research collaboration with postdoctoral researchers recruited through the InnoCORE project to continue creating innovative results in the AI drug development and bio-fields.” Meanwhile, KAIST will host a lecture on Thursday, April 9th at 4 PM in the KI Building Fusion Hall featuring Professor David Baker and Professor Hannele Ruohola-Baker (University of Washington, USA) under the theme of ‘Advances in AI-powered protein design and biomedical science’ to mark Professor David Baker’s visit to Korea. This event is held with the support of the KAIST International Scholar Invitation Program, KAI-X, the InnoCORE AI-CRED Innovative Drug Group, and the Ministry of Science and ICT’s Overseas Excellent Research Institute Cooperation Hub Construction Project. < Poster for Professor David Baker’s Invited Lecture > KAIST President Kwang Hyung Lee stated, “Through cooperation with Nobel Laureate Professor David Baker, we have derived a meaningful achievement in AI-based protein design,” and added, “This research is an example showing that KAIST is leading innovative research alongside world-class research institutions.” Meanwhile, the KAIST InnoCORE Research Group aims to accelerate AI-based scientific and technological innovation and promote global joint research by supporting top-tier domestic and international postdoctoral researchers to devote themselves to the development of AI convergence technology in a cutting-edge collective research environment. As the lead institution, KAIST operates the ▲Hyper-scale Large Language Model Innovation Research Group ▲AI-based Intelligent Design-Manufacturing Integration Research Group ▲AI-CRED Innovative Drug Research Group and ▲AI-Transformed Aerospace Research Group.
<(From Left) Ph. D candidate Yeongyu Kim, Professor Seungbum Hong, Ph.D candidate Kunwoo Park> For smartphones and computers to become smaller and faster, technologies capable of precisely controlling electrical properties at the nanoscale—beyond what is visible to the naked eye—are essential. In particular, ferroelectric materials, which can maintain their electrical state without external power, are gaining attention as key components for next-generation memory and sensor technologies. However, due to their extremely small size, there have been limitations in precisely observing the internal changes occurring within these materials. KAIST (President Kwang Hyung Lee) announced on the 4th of April that a research team led by Professor Seungbum Hong from the Department of Materials Science and Engineering has published a review paper systematically outlining research strategies for ferroelectric materials based on atomic force microscopy (AFM), addressing these limitations. The research team proposed new strategies for utilizing AFM to precisely control electrical properties at the nanoscale and presented a direction for next-generation materials research. Ferroelectric materials possess electric polarization similar to magnetism, and this property enables the realization of memory devices that retain information even without power, as well as highly sensitive sensors. As semiconductor devices continue to shrink, nanoscale physical phenomena increasingly determine overall device performance, making technologies capable of precisely analyzing and controlling these phenomena more important than ever. The team presented an integrated analytical framework that uses AFM to both observe and directly manipulate materials at the nanoscale. AFM is a device that scans surfaces using an extremely fine probe to obtain atomic-level information, effectively serving as both the “eye” and “hand” of the nanoscale world. Based on AFM, which measures physical and electrical properties at the atomic scale by scanning surfaces with a fine probe, the researchers established a system that integrates various techniques—including piezoresponse force microscopy (PFM) for measuring electrical responses, Kelvin probe force microscopy (KPFM) for analyzing surface potential, and conductive atomic force microscopy (C-AFM) for measuring current flow—into a unified framework. This allows for a three-dimensional understanding of material structures and charge distributions. This approach goes beyond simple observation and represents the evolution of AFM into a research platform capable of directly designing and manipulating data domains at the nanoscale by applying electrical stimuli through the probe. Furthermore, AFM can apply electrical stimulation or mechanical pressure directly to extremely small nanoscale regions, enabling changes and control of material properties. In other words, it has evolved from a tool that merely observes to one that enables design and experimentation at the nanoscale. In particular, this study demonstrates applications in evaluating and improving the performance of next-generation semiconductor materials such as two-dimensional transition metal dichalcogenides like molybdenum disulfide (MoS₂) and ultrathin hafnium–zirconium oxide (HfZrO₂)-based materials. The research team also proposed future directions involving the integration of high-speed AFM with artificial intelligence (AI), enabling rapid interpretation of complex nanoscale structures that are difficult for humans to analyze manually, as well as more efficient design of advanced materials. < Research Image (AI-Generated Image) > Professor Seungbum Hong stated, “This review shows that atomic force microscopy has evolved beyond a simple observation tool into a key process technology for designing and precisely controlling advanced materials,” adding, “Analytical techniques combined with artificial intelligence will play a critical role in securing technological competitiveness in next-generation semiconductor and energy materials.” This review was led by Yeongyu Kim (Doctoral student) and Kunwoo Park (integrated MS–PhD program student), both from the Department of Materials Science and Engineering at KAIST, as co-first authors. The research was recognized for its excellence and published as a front cover article in the international journal Journal of Materials Chemistry C, published by the Royal Society of Chemistry, on February 26. ※ Paper title: “Atomic Force Microscopy for Ferroelectric Materials Research” DOI: https://pubs.rsc.org/en/content/articlehtml/2026/tc/d5tc03998c < Front Cover Selection Image for Journal of Materials Chemistry C (JMCC) > This work was supported by the Ministry of Science and ICT and the National Research Foundation of Korea through the project on developing an AI platform for multi-scale data-integrated lithium secondary battery design, and has been recognized as establishing a new milestone in the field of nanomaterials.
<(From left) Young-Gil Cha, Hyun-Kyung Kim, Jae-Myeong Kwon, Professor Ki-Hun Jeong, (Top right) Professor Min H. Kim> A breakthrough technology has emerged to fundamentally solve the "camera protrusion/thickness issue," which has been a persistent limitation as smart devices become thinner. KAIST research team has developed an ultra-thin camera that achieves a wide 140-degree field of view (FOV) without any lens protrusion. This technology is expected to be applied across various fields, including medical endoscopes, wearable devices, and micro-robots. On the 7th, a joint research team led by Professor Ki-Hun Jeong from the Department of Bio and Brain Engineering and Professor Min H. Kim from the School of Computing announced the development of a "wide-angle biomimetic camera." Inspired by insect vision, the camera is exceptionally thin yet boasts a vast field of view. The team successfully secured a diagonal FOV of 140 degrees—surpassing human peripheral vision—within an ultra-thin structure of less than 1 mm, roughly the thickness of a coin. High-performance wide-angle cameras typically require multiple stacked lenses, inevitably leading to increased thickness. To overcome this, the research team focused on the visual structure of the parasitic insect Xenos peckii. <Conceptual diagram of the camera structure mimicking insect compound eye principles and photos of the manufactured ultra-thin camera> While typical insect compound eyes offer a wide FOV, they suffer from low resolution. Conversely, single-lens cameras provide high resolution but limited FOV. Xenos peckii, however, possesses a unique visual system where multiple eyes capture partial segments of a scene, which the brain then integrates into a single high-resolution image. By introducing this "split-capture and integration" principle into the camera architecture, the team simultaneously achieved both thinness and high image quality. This overcomes the low-resolution issues of conventional compound eye cameras and the narrow FOV limits of single-lens systems. <Result of reconstructing a single scene by combining partial images captured via a microlens array> The team implemented a method where several micro-lenses with ellipsoidal shape capture different directions simultaneously, merging them into one sharp image without optical aberration. Notably, by precisely adjusting the lens shape and light entry points, they prevented blurring at the edges of the frame. As a result, uniform clarity is maintained from the center to the periphery, enabling stable imaging even at very close ranges. With a thickness of only 0.94 mm, this ultra-thin camera is expected to bring innovation to space-constrained fields. It can significantly enhance image acquisition efficiency for medical endoscopes requiring precise observation of narrow areas, as well as for micro-robots and wearable healthcare equipment. This technology shifts the design paradigm from increasing device size for better performance to enabling high-performance imaging in ultra-small form factors. <Results of photographing actual subjects at close range: microfluidic channels (20 mm distance), oral models (30 mm), and human faces (50 mm)> Furthermore, the research team has completed a technology transfer to MicroPix Co., Ltd., a specialist in optical imaging, with the goal of full-scale commercialization by next year. "Conventional wide-angle cameras faced a trade-off where reducing size lowered resolution, and increasing resolution enlarged the device," explained Professor Ki-Hun Jeong. "By applying visual principles from nature, we have secured both a wide FOV and stable image quality in an ultra-compact structure. This is a new image acquisition method usable even in extreme space-constrained environments." Jae-Myeong Kwon, Ph.D candidate at KAIST, participated as the lead author. The study was published on March 23 in the world-renowned academic journal Nature Communications. Paper Title: Biologically inspired microlens array camera for high-resolution wide field-of-view imaging DOI: https://doi.org/10.1038/s41467-026-70967-2 Authors: Jae-Myeong Kwon, Yejoon Kwon, Young-Gil Cha, Dong Hyun Han, Hyun-Kyung Kim, Je-Kyun Park, Min H. Kim & Ki-Hun Jeong This research was conducted with support from the Mid-Career Researcher Program of the National Research Foundation of Korea (Ministry of Science and ICT), the Korean ARPA-H Project (Ministry of Health and Welfare), and the Materials and Components Technology Development Program (Ministry of Trade, Industry and Energy).
<(From Left) Dr. Jonghyeok Park, Ph.D candidate Yunkyoung Han, Professor Hyunjoon Song, Dr. Sungjoo Kim> KAIST Develops Electrode Technology Achieving 86% Efficiency for Converting CO₂ into Plastic Precursors In the process of converting carbon dioxide into useful chemicals such as ethylene—a key precursor for plastics—a major challenge has been the flooding of electrodes, where electrolyte penetrates the electrode structure and reduces performance. KAIST researchers have developed a new electrode design that blocks water while maintaining efficient electrical conduction and catalytic reactions, thereby improving both efficiency and stability. KAIST (President Kwang Hyung Lee) announced on the 6th of April that a research team led by Professor Hyunjoon Song from the Department of Chemistry has developed a novel electrode structure utilizing silver nanowire networks—ultrafine silver wires arranged like a spiderweb—to significantly enhance the efficiency of electrochemical CO₂ conversion to useful chemical products. In electrochemical CO₂ conversion processes, a long-standing issue has been flooding, where the electrode becomes saturated with electrolyte, reducing the space available for CO₂ to react. While hydrophobic materials can prevent water intrusion, they typically suffer from low electrical conductivity, requiring additional components and complicating the system. To overcome this, the research team designed a three-layer electrode architecture that simultaneously repels water and enables efficient charge transport. The structure consists of a hydrophobic substrate, a catalyst layer, and an overlaid silver nanowire (Ag NW) network, which acts as an efficient current collector while preventing electrolyte flooding. < Schematic diagram of a porous polymer–copper oxide catalyst silver nanowire network electrode structure > A key finding of this study is that the silver nanowires do more than just conduct electricity—they actively participate in the chemical reaction. During CO₂ reduction, the silver nanowires generate carbon monoxide (CO), which is then transferred to adjacent copper-based catalysts, where further reactions occur. This creates a tandem catalytic system, in which two catalysts cooperate sequentially, significantly enhancing the production of multi-carbon compounds such as ethylene. The electrode demonstrated outstanding performance. It achieved 79% selectivity toward C₂₊ products in alkaline electrolytes and 86% selectivity in neutral electrolytes, representing a world-leading level. It also maintained stable operation for more than 50 hours without performance degradation. These results indicate that most of the converted products are the desired chemicals, while also overcoming the durability limitations of conventional systems. < Conceptual diagram of a CO₂ electrolysis electrode utilizing a stacked silver nanowire structure (AI-generated image) > Professor Hyunjoon Song stated, “This study is significant in showing that silver nanowires not only serve as electrical conductors but also directly participate in chemical reactions,” adding, “This approach provides a new design strategy that can be extended to converting CO₂ into a wide range of valuable products such as ethanol and fuels.” This research, led by Jonghyeok Park (KAIST, first author), was published on March 24, 2026, in the international journal Advanced Science. ※ Paper title: “Overlaid Conductive Silver Nanowire Networks on Gas Diffusion Electrodes for High-Performance Electrochemical CO₂-to-C₂₊ Conversion,” DOI: https://doi.org/10.1002/advs.75003
<(From Left) Professor Kang Taek Lee, Ph.D candidate Seeun Oh, Researcher Incheol Jeong, Dr. Dongyeon Kim, Ph.D candidate Hyeonggeun Kim> While mixing materials typically leads to instability, there exists a phenomenon known as “high entropy,” where increasing compositional complexity can actually enhance stability. KAIST researchers leveraged this principle to enable faster proton transport and more efficient reactions within electrochemical cells, developing a technology that significantly improves hydrogen production efficiency. This breakthrough is expected to reduce hydrogen costs and accelerate the transition to clean energy. KAIST (President Kwang Hyung Lee) announced on the 5th of April that a research team led by Professor Kang Taek Lee from the Department of Mechanical Engineering has developed a novel oxygen electrode material that dramatically improves reaction kinetics and power performance through entropy-maximized design. The oxygen electrode is a key component in electrochemical cells where oxygen evolution occurs during hydrogen production. Green hydrogen—produced from water without carbon emissions—is considered a cornerstone of future clean energy systems. In particular, protonic ceramic electrochemical cells (PCECs), which generate hydrogen by splitting water using electrical energy while protons migrate through the cell, have attracted attention for their high efficiency. However, their performance has been limited by slow reaction kinetics at the oxygen electrode. To address this issue, the research team adopted a high-entropy strategy, introducing multiple metal elements simultaneously to increase configurational disorder. Although mixing many elements typically destabilizes structures, under certain compositions, maximizing entropy can instead stabilize a single-phase structure. <Structural and chemical characterization of PBSCF and PLNNCBSCF. XRD patterns of a) the synthesized PBSCF and PLNNCBSCF and b) enlarged view of the XRD patterns from 31.5 to 33.5°. c) Rietveld refinement results of the XRD profile for PLNNCBSCF, with the inset showing the idealized structure. d) HR-TEM image of PLNNCBSCF with the inset showing lattice fringes. e) Corresponding EDS mappings of the PLNNCBSCF elements. XPS of F) survey peak, G) Pr 3d, and H) O 1s spectra for PBSCF and PLNNCBSCF> Based on this concept, the researchers designed a high-entropy double perovskite oxygen electrode by incorporating seven different metal elements (Pr, La, Na, Nd, Ca, Ba, Sr) into the A-site of the electrode structure. This material combines a perovskite crystal framework with a double perovskite structure, further enhanced by high-entropy design. The presence of multiple mixed metal elements improves charge transport and oxygen-related reactions within the electrode, resulting in significantly faster electrochemical reactions for both electricity generation and hydrogen production. Notably, density functional theory (DFT) calculations revealed that the energy required to form oxygen vacancies—active sites where reactions occur—was reduced by more than 60% compared to conventional materials. This indicates that reactive sites can form more easily and in greater abundance. Additionally, time-of-flight secondary ion mass spectrometry (TOF-SIMS) analysis showed that proton transport speed increased by more than sevenfold, demonstrating that hydrogen generation processes proceed much more efficiently within the electrode. The performance improvements were substantial. Cells incorporating the new electrode achieved a power density of 1.77 W cm⁻² at 650°C, approximately 2.6 times higher than conventional systems. Hydrogen production performance also improved by approximately threefold (4.42 A cm⁻²) under the same conditions. Moreover, in long-term testing under steam conditions for 500 hours, performance degradation was only 0.76%, confirming excellent durability and stability over extended operation. Professor Kang Taek Lee stated, “This study demonstrates that the thermodynamic concept of entropy can be used to control electrode reactivity,” adding, “It has the potential to significantly enhance green hydrogen production efficiency and accelerate the commercialization of the hydrogen economy.” This study was co-led by Seeun Oh of the Department of Mechanical Engineering at KAIST and Incheol Jeong of the Korea Institute of Geoscience and Mineral Resources. The findings were published on December 16, 2025, in the international journal Advanced Energy Materials (IF: 26.0) and were selected as a front cover article, highlighting their scientific impact. ※ Paper title: “Unveiling Entropy-Driven Performance Enhancement in Double Perovskite Oxygen Electrodes for Protonic Ceramic Electrochemical Cells,” DOI: https://doi.org/10.1002/aenm.202503176※ Authors: Seeun Oh (KAIST, first author), Incheol Jeong (Korea Institute of Geoscience and Mineral Resources, first author), Dongyeon Kim (second author), Hyeonggeun Kim (second author), Kang Taek Lee (corresponding author) This research was supported by the Mid-Career Researcher Program and the Global Basic Research Laboratory Program funded by the Ministry of Science and ICT (MSIT), Korea.
<Photo: KAIST Undergraduate Club MR2 Team Members> Undergraduate students from KAIST are set to take on the world stage with an exploration rover—a robotic vehicle designed to explore in place of humans—that they built themselves. The team has secured a spot in the finals of the world’s largest Mars rover competition, marking a first-ever achievement for KAIST. KAIST announced on the 3rd that 'MR2' (Advised by Professor Yong-Hwa Park, Department of Mechanical Engineering), a rover team from the undergraduate robotics club MR (Microrobot Research), has earned a seed in the finals of the '2026 University Rover Challenge (URC)', the premier international Mars rover competition for university students. The URC is organized by The Mars Society and takes place at the Mars Desert Research Station (MDRS) in Utah, USA, an environment that closely mimics the Martian surface. Participating teams compete in four key missions using rovers they developed: ▲Science Mission, ▲Delivery Mission, ▲Equipment Servicing Mission, and ▲Autonomous Navigation Mission. This year’s competition saw 116 university teams from 18 countries engage in a fierce preliminary round. Team MR2 secured its place in the top 38 finalists by scoring 95.38 out of 100. This milestone is particularly significant as it is the first time a KAIST team has ever reached the URC finals, proving the excellence of KAIST undergraduates in robot design and control on a global scale. The next-generation exploration rover 'GAP-1000', independently developed by MR2, is a modular rover designed for stable operation in extreme environments. It features a 6-DOF (Degrees of Freedom) robotic arm capable of precisely controlling objects over 5kg, allowing it to perform complex equipment manipulation tasks. <Photo: Operation of GAP-1000's Manipulator and Science Module Integration> The rover also boasts strong autonomous driving capabilities. By combining RTK-GNSS (precision satellite positioning), IMU (Inertial Measurement Units) for motion sensing, and odometry based on wheel rotation, it can autonomously navigate optimal paths through complex terrain. Additionally, a drone relay system has been integrated to ensure stable exploration even in areas with communication dead zones. For the science mission, the rover can collect soil from 10cm underground, remove impurities via centrifugation, and analyze traces of life using protein detection reagents such as Biuret and Bradford. This is paired with spectroscopic analysis technology that identifies material composition by analyzing light wavelengths, creating an integrated system for real-time life detection. "We experienced a lot of trial and error while managing everything from design to production ourselves, but I am thrilled that we achieved KAIST’s first-ever advancement to the finals," said Myung-woo Jung (Department of Mechanical Engineering), the team leader of MR2. "We will prepare thoroughly in the remaining time to achieve a great result on-site." <Photo: Scenery of MDRS in Utah, USA, where the competition will be held (Photo Credit: The Mars Society)> Advising Professor Yong-Hwa Park noted, "It is impressive that the students independently implemented a rover for extreme environments. This competition will serve as an opportunity to showcase KAIST’s technological prowess to the world." KAIST President Kwang-Hyung Lee added, "It is a very meaningful achievement for our undergraduates to reach the finals of the world’s largest competition with a rover they designed and built themselves. I hope this experience serves as a catalyst for our students to challenge themselves and grow on the global stage." Team MR2 consists of 13 undergraduate students from various majors, including Mechanical Engineering, Electrical Engineering, and Industrial Design. Having completed long-distance operation tests in outdoor environments, they are currently conducting final checks for the finals. The main competition will be held from May 27th to 30th at the MDRS in Utah, USA. ※ Related Links MR2 Official Website: https://urc-kaist.github.io/ MR2 Instagram: https://www.instagram.com/urc_mr2/ MR2 YouTube: https://www.youtube.com/@MR2KAISTRoverTeam
< 4th Wonik Next-Generation Engineering Award hosted by the National Academy of Engineering of Korea (NAEK)> At the 4th Wonik Next-Generation Engineering Award hosted by the National Academy of Engineering of Korea (NAEK), KAIST Ph.D candidate Yehhyun Jo from the Department of Electrical Engineering(Advisor: Professor Hyunjoo J. Lee) and Ph.D candidate Seokjoo Cho from the Department of Mechanical Engineering(Advisor: Prof. Inkyu Park) received Excellence Awards. Yehhyun Jo was selected in recognition of the development of a system that enables the precise modulation and observation of brain functions by integrating ultrasound neuromodulation technology, MEMS, and biosignal measurement technology. As a leading researcher in ultrasound brain stimulation in Korea, Yehhyun has contributed to the advancement of next-generation neuroengineering research by publishing six SCI(E)-indexed first-author papers. In acceptance speech, Yehhyun Jo remakred, “It is a great honor to receive the Excellence Award at the Wonik Next-Generation Engineering Award hosted by the National Academy of Engineering of Korea. I believe this award represents not only my personal achievements, but also the collective efforts of my advisor, fellow researchers, and my parents and brother, who have supported my research behind the scenes. Going forward, I will continue to develop and validate technologies grounded firmly in fundamental principles so that engineering innovation can reach real clinical and industrial settings, and I will strive to become a great researcher who contributes to society through responsible research.” <(From Left) Ph.D candidate Yehhyun Jo, Ph.D candidate Seokjoo Cho> Seokjoo Cho was selected for developing a wireless multi-modal sensing system based on nano- and micro-fabrication processes for the management of chronic wounds and metabolic diseases. Through this related work, Seokjoo has published 25 SCI(E)-indexed papers and is leading technological innovation in next-generation healthcare sensor platforms. He accepted the award, saying, “I am sincerely grateful to receive the great honor of the Wonik Next-Generation Engineering Award. Winning an award that I have long dreamed of as a researcher during my graduate studies brings me both deep fulfillment and a strong sense of responsibility. Taking this award as an opportunity, I will continue striving to grow as a researcher who does not lose sight of my original motivation and who can create meaningful value for society.” The Wonik Next-Generation Engineering Award is presented to undergraduate and graduate students in engineering-related fields in Korea to recognize creative and ambitious future engineers in the materials, components, and equipment sectors and support their growth into engineers who contribute to solving social problems. The award ceremony was held on the afternoon of March 10 at the Grand Walkerhill Seoul Hotel in Gwangjin-gu, Seoul.
<A ten-metre scroll doctoral thesis reinterpreting the 15th-century Joseon landscape painting scroll tradition, Empty Garden, exhibited at the University Church of St Mary the Virgin, Oxford, founded in the 15th century. 2020> - Media artist and KAIST professor Jinjoon Lee's doctoral thesis 'Empty Garden' officially acquired by the Ashmolean Museum, UK, for permanent collection - Korean artistic and academic achievement recognized as public cultural heritage at a museum predating the Louvre by 110 years — the 'heart of Western intellectual history' - Blending Eastern aesthetics of 'wandering' (거닐기) and 'emptiness' with data technology in the AI era — awarded Oxford's unanimous 'No Corrections' in just 2.5 years in 2020 - First work by a contemporary Korean artist to enter the Ashmolean's permanent collection — officially confirmed by the museum's curator - Korean artistic and academic achievement officially recognised as intellectual cultural heritage — permanently preserved, researched, and exhibited within the Western public knowledge system A doctoral thesis is often imagined as a dense, bound volume. Yet a 10-meter-long hanji scroll- traditional Korean mulberry paper prized for its durability across centuries- is now drawing global attention from the art world and academia alike. KAIST (President Kwang Hyung Lee) announced on the 26th that Empty Garden – A Liminoid Journey to Nowhere in Somewhere (2020), a doctoral thesis by media artist and KAIST Graduate School of Culture Technology Professor Jinjoon Lee, has been officially acquired by the Ashmolean Museum, University of Oxford, for its permanent collection and exhibition — through formal purchase, not donation. Founded in 1683, the Ashmolean Museum is the world's first university museum, operated by the University of Oxford with over 340 years of history. It predates the Louvre (1793) by 110 years and the British Museum (1759) by 76 years, and is regarded as the starting point of European Enlightenment scholarship. Its collections include masterworks by Raphael, Michelangelo, Leonardo da Vinci, and Turner, alongside ancient artefacts and East Asian ceramics and paintings — over one million objects in total. The Ashmolean is not simply an exhibition venue but an academic institution integrating collection, research, and education. Unlike Tate Modern, which engages with the contemporary art market, or the British Museum, which displays national heritage, the Ashmolean's core mission is scholarly preservation and research. The acquisition of Professor Lee's doctoral thesis here signifies that Korean aesthetics and philosophical thought have entered the public record of European intellectual history. Professor Lee's PhD thesis Empty Garden reinterprets the concept of uiwon (意園) — an imaginary garden cultivated in the mind by Joseon-era scholars — through contemporary data and media language, proposing 'data gardening' as a methodology for tending to the philosophy of emptiness. It is a work that continues to ask fundamental questions about human sensation, memory, and existence, even within an environment dominated by AI and data. The 10-meter hanji scroll format is itself a central feature of the thesis. As readers engage with the text, they are naturally led to move through space — physically enacting the East Asian garden tradition of 'wandering' (거닐기). The work is designed not merely to be read but to be experienced through movement and contemplation. The thesis was produced as nine hanji scrolls in total; one of these has been acquired by the Ashmolean for its permanent collection. This thesis received unanimous 'No Corrections' approval at its DPhil in Fine Art examination at the University of Oxford in 2020, recognising its academic rigour and originality — an achievement completed in just two and a half years, where the process typically takes over four. It is an extremely rare distinction even within Oxford's 900-year history, and drew significant attention at the time. Oxford doctoral theses are typically archived at the Bodleian Library as academic records. This acquisition is entirely separate from that process: the museum conducted an independent five-year review following the award of the degree, assessed the work on its artistic and scholarly merits, and made a formal purchase. The inclusion of a living artist's doctoral thesis in the permanent collection of the world's oldest university museum through purchase — not donation — is exceptionally rare. Professor Shelagh Vainker, Alice King Curator of Chinese and Korean Art at the Ashmolean Museum, University of Oxford, stated: "I am delighted that the Ashmolean Museum has been able to acquire Dr Jinjoon Lee's Empty Garden for our permanent collection. The long, contemplative scroll breaks new ground in so many ways: in the materials and techniques employed, in the breadth and depth of cultural and intellectual knowledge embedded in it, and in the complexity of the presentation of different spaces — all providing the viewer with multiple perspectives and experiences. Empty Garden is the first piece by a contemporary Korean artist to enter the collection; when not on display it will be available for viewing by appointment." — Shelagh Vainker, Alice King Curator of Chinese and Korean Art, Ashmolean Museum, University of Oxford <Dr Shelagh Vainker, Professor at the University of Oxford and Alice King Curator of Chinese and Korean Art at the Ashmolean Museum, reviewing the doctoral thesis Empty Garden in the Eastern Art Study Room, Ashmolean Museum. 2026> Professor Lee noted that during his doctoral research at Oxford, a serious leg injury left him using a wheelchair for an extended period, during which he reflected deeply on the relationship between movement, stillness, and thought. He stated: "In the age of AI, art cannot remain confined to immaterial images on screens. Data and images can only acquire depth through material forms capable of enduring time and preservation." He further expressed his hope that Empty Garden, now housed within the public collection of Western intellectual history, would "serve as a continuing reference point connecting East Asian thought — including that of Korea — with new sensory frameworks for the age of artificial intelligence." The first practicing artist to be appointed as a tenure-track professor at KAIST, Professor Lee currently holds concurrent positions as Visiting Fellow at Exeter College, University of Oxford, Visiting Senior Researcher at Tokyo University of the Arts, and Adjunct Professor at New York University, continuing interdisciplinary research across art, technology, and the humanities. Most recently, his work has drawn international attention from arts community, including Good Morning, Mr. G-Dragon, a space art project based on the iris data of K-pop artist G-Dragon, and Cine Forest: Awakening Bloom, an AI-based media symphony at Bundang Central Park in S. Korea. <Jinjoon Lee, artist's studio, Seoul. 2025> This acquisition is an exceptionally rare case of a doctoral thesis entering the permanent collection of the world's oldest university museum through formal purchase, and a historic event in which a work by a contemporary Korean artist has entered the Ashmolean's collection for the first time. Korean research that poses new questions about the role of art and the humanities in the post-AI era has now found a permanent place within the public record of Western intellectual history.
< Integrated Operation of Heterogeneous Logistics Robot Systems > KAIST announced on March 23rd that Professor Young Jae Jang's team from the Department of Industrial and Systems Engineering has constructed ‘KAIROS’ (KAIST AI Robot Orchestration Systems), a physical AI testbed that integrates and controls heterogeneous robots, sensors, facilities, and digital twins into a single system. KAIROS is a 100% unmanned factory platform based on physical AI and is the first integrated testbed of its kind in Korea, developed with support from the Ministry of Science and ICT (MSIT). It is particularly noteworthy as a domestic integrated solution aimed at exporting "Dark Factories" in the future. The most significant feature of KAIROS is its structure, which integrates and controls various factory equipment through a single AI agent-based Operating System (OS). While existing factory automation was operated around individual devices, KAIROS integrates Autonomous Mobile Robots (AMR), humanoid robots, collaborative robots, and automation facilities into a single intelligent platform. Through this, the concept of ‘Physical AI-based factory operation’—where the entire factory is operated like a single AI system—has been realized. The core of this testbed is the 100% domestic integration of the entire process from sensors and control to data processing. By integrating key elements of a Dark Factory—including logistics robots (AMR), OHT, 3D shuttles, humanoid robots, collaborative robots, industrial sensors and PC controllers, wireless charging systems, digital twins and simulations, and AI-based integrated control and safety management systems—using domestic technology, the project has replaced factory automation equipment and software that were heavily dependent on foreign technology and laid the foundation for a ‘K-Manufacturing Factory Export Model.’ As part of the Physical AI Pre-verification Project, the MSIT has supported the establishment of a demonstration lab within the KAIST Industrial Management Building. On March 23, Vice Minister Bae Gyeong-hoon (Minister of Science and ICT) visited KAIST to announce the National Physical AI Strategy (Draft) and unveil the KAIROS-based Dark Factory demonstration site. At the event, the factory operating system of the KAIST demonstration lab, joint physical AI demonstration results with Chonbuk National University, and the direction of the ‘Team Korea Physical AI (TK-PAI)’ alliance—a cooperative structure of domestic companies—were discussed. < KAIROS Operation Plan Announcement > < KAIROS Demonstration > < KAIROS Factory Site > KAIST plans to further advance the next-generation factory operating system (OS), covering the design, construction, and operation of Dark Factories through KAIROS, and to develop simulation and virtual verification environments. In addition, the university intends to utilize the platform as a testing and evaluation site where domestic robot and automation companies can pre-verify highly reliable equipment, thereby increasing industrial applicability. Furthermore, the goal is to develop physical AI-based Dark Factory solutions capable of competing with global companies such as Siemens (Germany), FANUC (Japan), and Yaskawa (Japan) to pursue entry into the global market. Kwang Hyung Lee, President of KAIST, stated, “KAIROS is the beginning of a new industrial paradigm where AI directly operates factories. KAIST will lead manufacturing innovation based on physical AI and contribute to ensuring South Korea’s leadership in global industrial competition.” Professor Young Jae Jang, who led the construction of KAIROS, explained, “KAIROS goes beyond individual automation technologies to implement the concept of a factory operating system (OS) that integrates diverse robots and facilities into one system. It will serve as a foundation for domestic companies to verify physical AI technologies applicable to actual industrial sites and expand into the global market.”
<KAIST Distinguished Professor Sang Yup Lee> The European Academy of Microbiology (EAM) is pleased to announce the election of 95 new Fellows, recognising scientific excellence and long-standing contributions to microbiology. The newly elected Fellows represent a diverse range of expertise across microbiology and related disciplines, spanning institutions across Europe and beyond. Their work reflects the breadth and dynamism of the field, from fundamental microbial research to applied innovations addressing global challenges in health, environment, and biotechnology. Election to the EAM Fellowship recognises outstanding scientific achievement and leadership in microbiology. Fellows are selected through a rigorous nomination and evaluation process by existing members of the Academy. With the addition of these new Fellows in different areas of microbiology from Europe and beyond, the EAM continues to strengthen its network of leading microbiologists. As Fellows of the Academy, members are committed to advancing knowledge, fostering collaboration, and supporting the next generation of scientists. Together they promote the visibility, impact and rapid progress of microbiology across the world. Reflecting strength and diversity of microbiology Commenting on the election, the EAM President Prof. Cecília M. Arraiano said: “We are delighted to welcome this new group of Fellows to the European Academy of Microbiology. Their achievements and expertise reflect the strength and diversity of microbiology. The Academy thrives through the engagement of its Fellows, and we look forward to the perspectives and contributions they will bring to shape the future of microbial science.” See the full list of the newly elected Fellows. About the European Academy of Microbiology (EAM) The European Academy of Microbiology, is part of the Federation of European Microbiological Societies (FEMS) network, and brings together eminent microbiologists whose work has significantly advanced the field. Through the collective expertise of its Fellows, the Academy contributes to scientific dialogue, supports emerging priorities in microbiology, and helps amplify the impact of microbiological research for society.
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