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KAIST Shapes a " Templates a ‘Gas Lattice’ in Porous Materials”: The Moment Gas Forms a Crystal-like Lattice
Capturing carbon or storing hydrogen to combat global warming requires compressing gases into sponge-like porous materials. Until now, gas molecules were thought to adsorb in a disordered manner throughout the pores. But what if invisible gas molecules could be lined up in regular order — like ice crystals or LEGO bricks?
KAIST (President Choongsik Bae) announced on August 11 that a research team led by Professor Jihan Kim of the Department of Chemical and Biomolecular Engineering has developed a computational framework that combines large-scale screening of metal–organic frameworks (MOFs)* with machine-learning-guided inverse design. Focusing on the “gas lattice”—a crystal-like ordered state formed by gas molecules under confinement—the framework enables researchers to explore a vast range of MOF structures and design candidate porous materials capable of stabilizing desired gas arrangements.
*Metal–organic framework (MOF): a material built from metal ions or clusters connected by organic linkers to create countless microscopic pores; MOFs are promising eco-friendly materials used to store or separate gases.
Using xenon (Xe), a monatomic noble gas, as a model system, the research team identified a specific cobalt-based porous material — Co-CAU-36 — that stabilizes xenon in a regular lattice. Computer simulations (GCMC) confirmed that xenon inside this material does not spread out randomly, but instead lines up in a body-centered cubic (BCC) lattice, a well-defined, crystal-like arrangement. This is a breakthrough because gas crystallization was achieved within the pores without the extreme bulk pressures normally required by using the pore structure as a ‘template’.
Striking results also emerged when the team examined the separation of xenon (Xe) and krypton (Kr), a gas mixture of industrial importance. Inside the framework, xenon preferentially occupies an ordered shell region, displacing krypton toward the pore core — a separation behavior that had not been reported before.
To show that the phenomenon could be deliberately designed rather than occurring incidentally, the researchers combined machine learning with a genetic algorithm and used inverse design to identify candidate porous structures targeting BCC- and FCC-like lattices.
The findings may have applications in advanced energy and environmental technologies that depend on precise control of molecular arrangement, including carbon capture and separation, selective catalytic reactions, and gas storage.
"This research is the first demonstration of a gas forming a crystal-like ordered state inside a porous material," said Professor Jihan Kim. He added that the work's significance lies in moving beyond conventional approaches focused primarily on increasing adsorption capacity, toward treating the arrangement of gas molecules itself as a design target.
"If this approach can be extended to more complex molecules, such as carbon dioxide or water, it could become an important starting point for designing tailored materials for gas separation and storage," Professor Kim added.
Younghun Kim and Dohoon Kim, PhD candidates in KAIST's Department of Chemical and Biomolecular Engineering, are co-first authors, with Seungwoo Kim, a master's candidate, and Yunsung Lim, a PhD, serving as co-authors. The findings were published online on June 23 in the international academic journal Nature Communications.
Paper title: Framework-templated gas lattices in metal-organic frameworks
DOI: 10.1038/s41467-026-74776-5This work was supported by grants from the National Research Foundation of Korea (NRF), funded by the Ministry of Science and ICT (Project Numbers RS-2024-00451160 and RS-2024-00435493).
2026.08.11 View 95 -
Twelve Years Later, KAIST’s Undergraduate Research Program Demonstrates Its Lasting Impact on Developing World-Class Talent
KAIST’s undergraduate research programs have helped launch the careers of professors at world-leading universities and experts in global industry in just over a decade. Three students featured as undergraduate researchers in 2014 have since built distinguished careers: two are now professors at leading universities in the United States, while the third works as an open innovation expert at a global pharmaceutical company. Their career paths demonstrate the lasting impact of KAIST’s Undergraduate Research Participation Program (URP) on talent development.
KAIST (President Choongsik Bae) announced on Aug 9 that its Undergraduate Research Participation Program (URP), which enables undergraduate students to formulate their own research questions and experience the entire research process in faculty laboratories, has become a cornerstone of the Institute’s efforts to develop world-class researchers and science and technology professionals.
URP is one of KAIST’s flagship research education programs. It allows undergraduate students to conduct actual research projects in faculty laboratories and directly experience the entire research process, from developing research ideas to conducting experiments, analyzing data, and writing papers. Operated with support from the Ministry of Science and ICT, the program has conducted a total of 679 research projects over the past five years. Through these projects, students have generated a wide range of research outcomes, including publications in international academic journals, patent applications, and awards at international conferences.
“KAIST has steadily expanded research-centered education so that undergraduate students can formulate their own questions and create new knowledge in a world-class research environment,” said President Choongsik Bae. “We will continue to provide strong support through URP and other research programs enabling students to take on challenges without fear of failure and grow into science and technology leaders who drive innovation at universities and in industry around the world.”
A notable example can be found in the laboratory of Professor YongKeun Park in the Department of Physics. In 2014, KAIST highlighted the achievements of undergraduate researchers in Professor Park’s laboratory in an article titled “Professor YongKeun Park Produces Undergraduate Students with International Achievements.” The three students featured at the time have since grown into world-class researchers and professionals, each pursuing a different career in academia or industry.
Sangyeon Cho began working in a laboratory during his first year at KAIST and completed more than 30 credits of research courses by the time he graduated. One of the two first-author papers he published as an undergraduate, his review article on optical imaging techniques for malaria was featured on the cover of Trends in Biotechnology in 2012. He later earned his Ph.D. through the Harvard-MIT Health Sciences and Technology program and served as an assistant professor at Harvard Medical School before joining Rice University as an assistant professor in July 2026. He currently studies technologies that use the world’s smallest nanolasers to track individual cancer cells and therapeutic cells over extended periods.
YoungJu Jo began conducting research combining microscopy and artificial intelligence as an undergraduate, building an interdisciplinary foundation early in his career. His research at the time on virtual staining and diagnosis was published in journals including Nature Cell Biology and Science Advances. He later conducted neuroscience research at Stanford University and published a first-author paper that was featured on the cover of Cell in 2022. In July 2026, Jo joined UC Berkeley as an assistant professor, where he is developing next-generation brain-computer interface (BCI) technologies capable of delivering complex information to the brain.
Seoeun Lee carried the research mindset she developed as an undergraduate into a career in industry. After earning her Ph.D. from Columbia University and working at Boston Consulting Group, she joined global pharmaceutical company Eli Lilly. She currently leads External Innovation activities in the company’s neuroscience division, identifying and pursuing collaborations with promising biotechnology companies through mergers and acquisitions, licensing, partnerships, and other arrangements. Her career demonstrates that undergraduate research experience can lead not only to traditional research careers but also to roles in strategy and collaboration within science- and technology-based industries.
Although the three alumni ultimately pursued careers in different settings—universities and industry—their journeys began in much the same way. During their first or second year as undergraduates, they independently sought out opportunities in laboratories and experienced research that began with questions they were personally curious about rather than merely executing assigned experiments. As an undergraduate, Sangyeon Cho conceived an idea for a super-resolution microscope after seeing a streetlight turn on while walking back to his dormitory late at night. Together with Professor Park, he developed this initial curiosity into a scientific question and ultimately into a research paper.
This undergraduate research culture continues at KAIST today. In 2023, research on GOBI, a methodology for estimating causal relationships in time-series data, involving undergraduate Seho Park as first author, was published in Nature Communications.
In 2024, undergraduate Taesik Youn, serving as first author, conducted the world’s first total synthesis of the natural product securinine G, which has potential applications in cancer treatment and drug development. In 2025, two studies involving undergraduate Minjae Kim were published. His co-first-authored research on a wearable carbon dioxide sensor for real-time breath monitoring appeared in Device, a Cell Press journal, while his lead-author study on OLED displays was published in Nature Communications. Undergraduate Jaehong Cho received both the Best Paper Award and the Distinguished Artifact Award at an IEEE international conference based on his URP research. Through URP, undergraduate-led, world-class research achievements continue to emerge across diverse fields, including drug development, wearable devices, displays, and artificial intelligence. These students are not only publishing in internationally recognized journals and receiving awards at international conferences but also developing advanced research capabilities early in their academic careers.
“These students did not become outstanding researchers through mentorship alone,” said Professor YongKeun Park. “I am grateful that KAIST has created an environment in which faculty members can conduct research alongside such exceptional students. A professor’s role, I believe, is to help students further develop the tremendous potential they already possess.”
“Research is about discovering something new, which means that undergraduate and graduate students begin from the same starting point,” he added. “What ultimately shapes a researcher is the depth of their engagement, their persistence in the face of setbacks, and their ability to formulate questions independently and seek out answers.”Questions first explored in undergraduate laboratories 12 years ago are now driving new research and innovation at universities and companies around the world. KAIST will continue to expand research opportunities through URP so that students can pursue their own questions and create new knowledge.
2026.08.10 View 226 -
KAIST Develops Marine Carbon Removal Technology That Turns Carbon Dioxide in Seawater into “Stone” for Permanent Storage
A new pathway has opened to enhance the ocean’s natural ability to clean the planet. KAIST researchers have developed a technology that converts carbon dioxide dissolved in seawater into “stone,” or minerals, preventing it from returning to the atmosphere and enabling permanent storage. The achievement is expected to help the ocean absorb more carbon dioxide and accelerate the commercialization of next-generation marine carbon removal technologies.
KAIST (President Choongsik Bae) announced that a research team led by Professor Dong-Yeun Koh from the Department of Chemical and Biomolecular Engineering, in collaboration with Professor T. Alan Hatton’s group at the Massachusetts Institute of Technology (MIT), has developed an electrochemical dissolved ocean carbon removal (e-DOC) technology that converts carbon dioxide dissolved in seawater into calcium carbonate (CaCO₃), a stable mineral form, enabling virtually permanent carbon storage.
The ocean is the planet’s largest carbon reservoir, absorbing about 30% of the carbon dioxide emitted by human activity. Just as water naturally refills a large container when some is removed, removing carbon dioxide from seawater enables the ocean to absorb more carbon dioxide from the atmosphere.
The research team developed a technology that converts dissolved inorganic carbon (DIC), the carbon species dissolved in seawater, into a mineral form that does not return to the atmosphere. Once stored in this form, the carbon is effectively prevented from returning to the air, allowing the ocean to continue absorbing new carbon dioxide. Such technologies are gaining attention as key carbon dioxide removal (CDR) solutions for responding to climate change.
However, conventional technologies have faced a major challenge: mineral scaling. Much like limescale building up inside a kettle, minerals such as calcium carbonate adhere to electrode surfaces and clog the system. As operation continues, performance declines, requiring frequent cleaning or replacement of components and increasing both energy consumption and maintenance costs.
To overcome this issue, the research team developed a hollow fiber electrode assembly (HFEA), a device composed of bundled hollow, thread-like electrodes. In this structure, minerals form outside the electrode surface rather than directly on it, while hydrogen bubbles naturally generated during the reaction act like a brush, continuously cleaning the electrode surface and preventing mineral buildup.
In experiments using Jeju lava seawater, the team successfully operated the device continuously and stably for more than 120 hours. The system removed 80–90% of dissolved inorganic carbon from seawater and reduced electricity consumption by up to 54% compared with existing technologies. In addition, the process simultaneously produced high-purity hydrogen (H₂) and magnesium hydroxide (Mg(OH)₂), a material used in eco-friendly products and industrial applications, further improving its economic potential.
The newly developed device can be produced in a compact, modular form, making it suitable for installation on ships, offshore plants, and other marine industrial facilities. The research team expects the technology to be scaled up into large-scale marine carbon removal systems that can contribute to achieving carbon neutrality and responding to climate change.
Professor Dong-Yeun Koh said, “This technology converts carbon dioxide dissolved in seawater into a mineral form that does not return to the atmosphere, enabling permanent storage and helping the ocean continuously absorb new carbon dioxide,” adding, “We expect this work to accelerate the commercialization of marine carbon removal technologies and contribute to the realization of a carbon-neutral society.”
This study was co-led by KAIST Ph.D. candidate Inhwan Park of the Department of Chemical and Biomolecular Engineering and Dr. Young Hun Lee of MIT, who received his Ph.D. from KAIST in 2023 and is currently affiliated with the Department of Chemical Engineering at MIT, as co-first authors. The paper was published online on June 19, 2026, in the international journal Advanced Energy Materials.
Paper title: A Compact Hollow Fiber Electrode Assembly Architecture for Continuous Electrochemical Marine Carbon Dioxide Removal
DOI: https://doi.org/10.1002/aenm.71205
This research was supported by Hyundai Motor Company and Kia, as well as the Global C.L.E.A.N. Program of the National Research Foundation of Korea funded by the Ministry of Science and ICT.
2026.08.04 View 613 -
KAIST Makes Cancer Cells Send Out Their Own Danger Signal — Delivering Immunotherapy and Gene Therapy in a Single Nanoparticle Platform
Cancer cells survive by hiding from the immune system's surveillance. A KAIST research team has developed a new anticancer platform that makes cancer cells send out their own danger signal—prompting immune cells to attack—while simultaneously delivering gene therapy. The approach is expected to offer a new treatment strategy that combines cancer immunotherapy and gene therapy in a single nanoparticle.
Immunogenic cell death (ICD) is a process in which dying cancer cells send danger signals to nearby immune cells, prompting them to attack. A polypeptide is a polymer made of a long chain of amino acids.
KAIST (President Choongsik Bae) announced on 28th of July that a team led by Professor Yeu-Chun Kim from the Department of Chemical and Biomolecular Engineering has developed a "helical polypeptide nanoparticle" platform that induces severe stress inside cancer cells to trigger immunogenic cell death, while also delivering a range of gene therapeutics into the cells.
The body's immune cells effectively eliminate external invaders such as viruses and bacteria, but cancer cells evade immune surveillance through a variety of immune-escape strategies. This failure of immune cells to recognize cancer cells as a threat has long been one of the biggest limitations in cancer treatment.
Recently, researchers have been actively exploring the use of nanoparticles to deliver drugs and genes to cancer cells and activate immune responses. However, it has not been clearly established which properties of nanomaterials actually induce cellular stress and activate antitumor immune responses.
By comparing and analyzing a range of nanoparticles, the team confirmed that not just the chemical composition, but the helical, coiled shape of the nanomaterial is a key factor determining therapeutic efficacy. In particular, when a positively charged quaternary amine—a chemical structure that binds readily to cell membranes—was combined with a helical structure, the particle could penetrate the cell membrane like a screw and enter cancer cells with ease. By contrast, particles with the same chemical composition but lacking the helical coil barely entered cells at all and failed to induce an immune response.
The helical nanoparticles developed by the team preferentially seek out and penetrate cancer cells, which have different membrane electrical properties from normal cells. Once inside, the particles disrupt the membranes of mitochondria—the cell's energy-producing organelles—and other organelles, subjecting the cancer cell to severe stress.
Under this extreme stress, the dying cancer cell releases damage-associated molecular patterns (DAMPs)—distress signals indicating "a dangerous cell is here"—into the surrounding environment. Immune cells that detect these signals recognize the previously hidden cancer cell as a threat and begin their attack. In effect, the cancer cell is made to broadcast its own location to the immune system.
The nanoparticle does more than trigger an immune response—it also functions as a carrier for gene therapeutics. Messenger RNA (mRNA), which carries the genetic information for protein synthesis, and small interfering RNA (siRNA), which suppresses the expression of specific genes, are both typically difficult to deliver into cells. The team's nanoparticles, however, delivered these molecules effectively into the cytoplasm.
The researchers also introduced guanidinium, a chemical functional group that binds strongly to genetic material, at an optimized ratio, enabling the particles to remain stable in the bloodstream while delivering gene therapeutics effectively.
In mouse models of melanoma and colorectal cancer, the team loaded the helical nanoparticles with siRNA targeting PD-L1 (Programmed Death-Ligand 1), an immune-evasion protein, and administered them. Tumor growth was suppressed by approximately 70–80%, and a marked increase was observed in cytotoxic T cells—which directly attack cancer cells—infiltrating the tumor, indicating a substantial boost in antitumor immune response.
"This study presents a new anticancer platform in which the nanomaterial does more than simply deliver a therapeutic agent—it drives cancer cells to trigger their own immune response," said Professor Yeu-Chun Kim. He added that the platform is expected to contribute to the development of next-generation treatments combining cancer immunotherapy and gene therapy.
Dr. Susam Lee, the paper's first author, added, "We showed that it is not just the composition of the nanomaterial but the helical structure itself that is the key factor determining therapeutic efficacy." He said he hopes the findings will serve as a new benchmark for designing next-generation immuno-oncology nanomaterials.
The study was published online in Biomaterials, a leading international journal in the field of biomaterials, on May 28, 2026.
Paper title: Helical quaternary amine polypeptide programs membrane stress to drive immunogenic cell death and cytosolic gene delivery for cancer immunotherapy
DOI: 10.1016/j.biomaterials.2026.124337
This work was supported by the National Research Foundation of Korea (NRF) grants funded by the Korean government (MSIT), the Biomedical Global Talent Nurturing Program of the Korea Health Industry Development Institute (KHIDI), funded by the Ministry of Health & Welfare, Republic of Korea (RS-2025-25459605 to Susam Lee) and the Korea Basic Science Institute (National research Facilities and Equipment Center).
2026.07.28 View 799 -
KAIST identifies a molecular “switch” that activates cell growth signaling, suggesting a potential basis for next-generation anticancer therapy
Cells carry their own growth switches. When enough nutrients—amino acids in particular—are available, cells flip this switch on and begin to grow. Researchers at KAIST and Yonsei University have now uncovered the molecular mechanism by which amino acid signals activate this cellular growth switch. The findings are expected to open a new avenue for anticancer therapies that target abnormal growth signaling in tumor cells.
KAIST (President Choongsik Bae) announced on July 26 that a research team led by Professors Hee-Sung Park and Jin Young Kang from the Department of Chemistry, working with Professor Sunghoon Kim's team from Yonsei University, has identified a molecular mechanism that links amino acid stimulation to mTORC1-dependent growth signaling.
Cells continually monitor whether enough amino acids—the basic building blocks of proteins—are available in their surroundings, and adjust their growth, protein synthesis, and energy use accordingly. Central to this process is mTORC1 (mammalian Target of Rapamycin Complex 1), a protein complex that functions as the cell's growth switch.
mTORC1 promotes cell growth, protein synthesis, and metabolism when nutrients and energy are abundant. But when mTORC1 becomes excessively active, cells can grow and proliferate beyond what is needed—a pattern of dysregulation observed in numerous cancers. For this reason, mTORC1 has long been considered a prime target for anticancer drug development. Exactly how cells detect external nutrient cues and translate them into mTORC1 activation, however, has remained incompletely understood.
The research team focused on the multi-tRNA synthetase complex (MSC), a large protein assembly composed of multiple aminoacyl-tRNA synthetases and scaffold proteins. While aminoacyl-tRNA synthetases are best known for their essential role in protein synthesis – attaching specific amino acids to their cognate tRNAs – the team showed that, in response to amino acid stimulation the MSC releases LARS1, thereby linking nutrient availability to growth signaling.
The key player within the MSC turned out to be a protein called LARS1 (leucyl-tRNA synthetase 1), an enzyme that attaches leucine to its corresponding tRNA and also functions as an intracellular leucine sensor. When cells receive a signal that nutrients are sufficient, LARS1 undergoes phosphorylation—a modification in which a small chemical tag is attached to a protein, altering its function or binding behavior.
The relationship can be pictured this way: the MSC is a control center where multiple proteins wait on standby, and LARS1 is the field agent dispatched to flip on the growth switch. When nutrients become abundant, LARS1 receives a phosphorylation "deployment signal," dissociates from IARS1, the protein that anchors LARS1 to the MSC, and is thereby released from the complex. The freed LARS1 then goes on to activate mTORC1.
In other words, when nutrients are scarce, LARS1 stays bound within the MSC and the growth signal remains off. Once nutrients become sufficient, LARS1 is released from the MSC and switches on mTORC1.
To investigate the structural basis of this process, the team used cryo-electron microscopy (cryo-EM), a technique that visualizes protein complexes in three dimensions in near-atomic resolution by rapidly freezing samples at extremely low temperatures. This allowed the researchers to determine how LARS1 and IARS1 bind to each other and to structurally explain how phosphorylation could disrupt their interaction.
The results showed that LARS1 and IARS1 are normally bound tightly, but amino acid stimulation induces the phosphorylation of LARS1, weakening its interaction with IARS1. This allows LARS1 to dissociate from the MSC and activate mTORC1.
The researchers also engineered phosphomimetic LARS1 variants—mutant proteins designed to imitate the phosphorylated state—and found that these variants substantially enhanced mTORC1 activity. This confirmed that the phosphorylation of LARS1 functions as the key molecular switch converting a nutrient signal into a cell growth signal.
The significance of this study lies in mapping, in concrete molecular detail, how cells sense amino acids and use that information to activate their growth switch. In particular, the study revealed that, upon receiving nutrient signals, the MSC—a complex involved in protein synthesis—releases its constituent protein LARS1, which then activates cellular growth signaling.
Some existing anticancer drugs work by directly inhibiting mTORC1, the cell's growth switch. However, because mTORC1 is also required for normal cellular growth and metabolism, its direct inhibition may also affect normal cells.
The research team expects that further identifying the kinase responsible for phosphorylating LARS1, along with its regulatory mechanism, could enable a more precise anticancer strategy—one that intercepts the growth signal further upstream, before it reaches mTORC1, rather than blocking mTORC1 itself.
The study was co-first-authored by Youjin Kim and Joo-Chan Kim from KAIST's Department of Chemistry and was published online in Nature Communications on June 11.
Paper title: Cryo-EM structure of the LARS1:IARS1 complex reveals a nutrient-responsive switch controlling mTORC1 signaling
DOI: https://doi.org/10.1038/s41467-026-74085-x
This work was supported by the National Research Foundation of Korea (grant nos. RS-2026-25482352 to H.S.P., RS-2024-00344154 to J.Y.K., and NRF-2021R1A3B1076605 to S.K.) and PNCC (grant no. 160183).
2026.07.27 View 822 -
KAIST and NVIDIA Launch Human Physical AI NVAITC
A new era of Physical AI is taking shape, enabling wearable robots and humanoids to understand and predict human movement and achieve more precise control. KAIST, which possesses world-class research capabilities in wearable robotics, and NVIDIA will collaborate to develop a Human Motion Foundation Model that enables AI to learn human movement and physical intelligence.
KAIST, led by President Choongsik Bae, announced on July 25 that it will establish a NVIDIA AI Technology Center (NVAITC) with NVIDIA to advance collaborative research in Physical AI.
As the Korean government advances Physical AI as a key national initiative for the country’s future, the collaboration aims to secure core technologies for next-generation Physical AI by combining KAIST’s human-centered robotics technologies and real-world human motion data with NVIDIA AI technologies and global research network.
The collaboration will be carried out through the establishment of the Human Physical AI NVAITC by the KAIST Department of Mechanical Engineering and NVIDIA. The Human Physical AI Research Center at the KAIST Department of Mechanical Engineering will serve as the core research hub for the NVAITC . Building on this foundation, the two organizations plan to progressively expand the scope of their collaboration across the full spectrum of Physical AI, including wearable robots, humanoids, digital twins, and manufacturing.
“Competitiveness in the era of Physical AI will depend not simply on AI itself, but on domain-specific technologies and data grounded in a deep understanding of humans and robots,” said KAIST President Choongsik Bae. “By combining KAIST’s accumulated expertise in human-centered research with NVIDIA’s world-leading AI infrastructure and physical AI technologies, we will realize Physical AI that better understands and supports people and develop KAIST into a global hub leading Physical AI research and industry beyond Korea.”
The Human Physical AI Research Center was established around the laboratories of Professor Kyoungchul Kong, a leading researcher in wearable robotics, and Professor Jung Kim, a leading researcher in biorobotics. Professors Kim and Kong serve as co-directors of the Center.
The Center conducts research to understand how humans move, exert force, and maintain balance in real-world environments and to reproduce these capabilities through AI and robotics. In particular, the large-scale human motion data and gait and movement control technologies accumulated through wearable robotics research are regarded as a critical foundation for developing human-centered Physical AI.
Co-director Professor Kyoungchul Kong is a world-renowned researcher in wearable robotics who has developed robotic technologies for gait assistance and rehabilitation. Through Angel Robotics, a company he founded, he has also led the commercialization of wearable robotics by translating research outcomes into real-world products and services. Through the NVAITC , Professor Kong will lead the development of the Human Motion Foundation Model based on the human motion data and robotic control technologies accumulated by his research team.
On NVIDIA’s side, Charles Cheung, Senior Manager at the NVIDIA AI Technology Center (NVAITC), will participate by providing expert technical consultation and developer support. The NVAITC will also operate research and educational programs using NVIDIA Omniverse and digital twin platforms.
“The KAIST Human Physical AI Research Center has world-class human motion data and research capabilities in wearable robotics,” said Charles Cheung. “This research, which seeks to reproduce human movement through AI, is expected to open new possibilities for Physical AI.”
To ensure the systematic operation of the collaborative research, the two organizations will establish a Steering Committee and review research goals and progress every six months. They also plan to hold an annual international symposium that will bring together researchers from Korea and abroad to share the latest research outcomes and industry trends in Physical AI.
A Student Ambassador Program will also be offered to KAIST students. Through the program, NVIDIA experts will provide lectures and regular office hours and carry out projects with participating students.
The first cohort is expected to consist of five to 10 students. Participants will receive training focused on NVIDIA Omniverse and digital twin technologies and will be awarded certificates upon completion of the program.
The primary objective of the first phase of the collaborative research is to develop a Human Motion Foundation Model.
The Human Motion Foundation Model is a generative AI-based model trained on large-scale human motion data to understand, predict, and generate a wide range of human movements. It is expected to serve as a core enabling technology that will allow wearable robots and humanoids to more accurately identify users’ intentions and movements and respond more naturally.
The technologies developed through the NVAITC are expected to be applied not only to wearable robots that support the rehabilitation and daily lives of people with gait impairments, but also to humanoids that work alongside humans, human movement assessment, and digital healthcare.
Ultimately, the researchers aim to explain from an AI perspective how humans plan movement and control their muscles and joints. Based on this understanding, they seek to create next-generation robotic systems that help people overcome gait impairments and expand human physical capabilities.
The collaboration is also significant because its impact is expected to extend beyond an individual research project and contribute to the broader Physical AI industrial ecosystem in Korea.
Co-directors Professors Jung Kim and Kyoungchul Kong are currently leading in a Deep Tech Scale-up Valley project in the field of Physical AI. By combining Angel Robotics’ experience in technology commercialization, KAIST’s capabilities in robotics, mechanical engineering, and AI, and NVIDIA’s AI technologies and global professional network, the collaboration is expected to support a broad range of activities spanning research and development, talent cultivation, startup support, and technology commercialization.
“This collaboration will provide an important opportunity to take AI research in the Department of Mechanical Engineering to the next level,” said Professor Hyung-Soon Park, Head of the KAIST Department of Mechanical Engineering. “Centered around the Human Physical AI Research Center, we will expand Physical AI research into nationally strategic industries, including robotics and manufacturing.”
2026.07.26 View 2137 -
KAIST-NVIDIA Establish Asia's First AI Joint Research Lab, Accelerating Korea's AI Innovation
KAIST and NVIDIA establish Asia's first AI joint research lab between NVIDIA and a university to advance next-generation agentic AI tailored to the Korean language and domestic industries.
KAIST (President Choongsik Bae) announced on July 24 that it will establish the NVIDIA-KAIST Joint AI Research Lab at the Kim Jaechul Graduate School of AI with the global AI computing giant NVIDIA. The two organizations will conduct joint research on next-generation core AI technologies.
"This collaboration marks the starting point of a strategic partnership between KAIST and NVIDIA that combines world-class AI research talent with cutting-edge AI infrastructure," said President Choongsik Bae. “We will build Korea's leading global AI research hub and lead the way in developing next-generation foundational AI technologies and cultivating world-class AI talent."
Through this partnership, KAIST and NVIDIA will build a joint research framework covering agentic AI models and systems specialized for the Korean language and Korean industries. The two organizations will build a long-term research collaboration framework to develop foundational AI technologies for Korea, cultivate global talent, and strengthen industrial competitiveness.
The NVIDIA-KAIST AI Joint Research Lab, to be established at the Kim Jaechul Graduate School of AI, will operate as a global research hub developing agentic AI models and AI agent systems tailored to Korea's language and industrial needs.
The two organizations plan to combine NVIDIA’s full-stack AI technologies and Nemotron open models, and the computing infrastructure of local NVIDIA Cloud Partners with the world-class scientific talent at KAIST.
The $300 million collaboration will proceed over an initial five-year period, including $50 million per year in compute contributions. Researchers participating in the joint lab will gain access to the latest NVIDIA AI computing infrastructure through local NVIDIA Cloud Partners.
The joint lab will fund at least 10 KAIST researchers annually and provide each with internship opportunities at NVIDIA. In addition, NVIDIA plans to hire exceptional Korean researchers for full-time positions. Together, these efforts will create stronger pathways for Korea's top AI talent to pursue ambitious research, build long-term careers, and deepen global collaboration between academia and industry.
The joint lab will be led by Dr. Hyunwoo Kim, currently at NVIDIA, who will join the Kim Jaechul Graduate School of AI as a professor next month. Dr. Kim will set the lab's research direction and oversee collaboration between local and international researchers.
"Korea is home to leading AI researchers and has one of the world's most advanced technology ecosystems," said Bill Dally, chief scientist and senior vice president of research at NVIDIA. "The NVIDIA-KAIST AI Joint Research Lab will provide a foundation for pioneering the next frontier of AI research and accelerating the development of AI models and agent systems for Korea’s industries, language, and future"
Dr. Hyunwoo Kim, incoming faculty member at the KAIST Kim Jaechul Graduate School of AI, who will serve as head of the joint NVIDIA-KAIST lab upon joining KAIST, said,
“AI research is entering a new era — one that requires frontier talent, large-scale infrastructure and deep collaboration across academia and industry.” He added, “Together, NVIDIA and KAIST Kim Jaechul Graduate School of AI will pursue ambitious work that helps Korea attract and retain top AI scientists while building lasting ties with NVIDIA's global research organization.”
Song Chong, Head of the KAIST Kim Jaechul Graduate School of AI, said, "This joint lab is a new industry-academia collaboration model that combines world-class research talent, AI infrastructure, and the research capabilities of a global company." He added, "We will develop core agentic AI technologies specialized for the Korean language and Korean industries and build an ecosystem where outstanding researchers can carry out world-class research from within Korea."
Check out NVIDIA's official blog post on this historic partnership here.
2026.07.24 View 3565 -
KAIST’s Advanced Oocyte and Embryo Analysis Technology to Improve IVF Success Recognized at Leading Global Conference
Accurately selecting oocytes and embryos with high developmental potential is essential for improving the success rate of in vitro fertilization (IVF). KAIST researchers have developed a foundational technology that combines time-lapse imaging, which continuously tracks changes over time, with quantitative three-dimensional analysis to predict developmental potential at an early stage without damaging live oocytes and embryos.
KAIST (President Choongsik Bae) announced on July 21 that Dr. Chungha Lee, a postdoctoral researcher in Professor YongKeun Park’s research group in the Department of Physics, received the Basic Science Award for poster presentation at the 2026 Annual Meeting of the European Society of Human Reproduction and Embryology (ESHRE), the world’s largest reproductive medicine conference, held in London, United Kingdom, in July.
The Basic Science Award for poster presentation recognizes the most outstanding poster in the basic science category at the ESHRE Annual Meeting, which attracts more than 10,000 participants each year. After reviewing submitted abstracts, the society selects five candidate studies and determines the final winner based on a comprehensive evaluation of the on-site poster presentation and question-and-answer session.
The award recognizes the originality and academic significance of applying holotomography—a technology that uses information about the refraction of light to image the internal structures of live cells in three dimensions without damaging them—to the field of reproductive medicine.
The research demonstrates the potential to develop a next-generation assessment technology that can non-invasively monitor changes in live oocytes and embryos over time, quantitatively analyze them in three dimensions, and predict their developmental potential at an early stage. It also presents a pathway for advancing conventional two-dimensional oocyte and embryo assessment, which has relied heavily on expert experience, toward a more objective and quantitative three-dimensional approach.
In IVF procedures, the selection of oocytes and embryos is a critical factor determining the likelihood of pregnancy. However, because oocytes and embryos are cells that may ultimately be transferred to patients, analytical methods involving stains or fluorescent markers that could affect the cells are difficult to apply.
Clinical practice currently relies primarily on Hoffman modulation contrast microscopy and phase-contrast microscopy, which visualize cellular morphology using differences in light intensity and phase without staining the cells. Embryologists—specialized medical professionals who culture and assess oocytes and embryos during IVF procedures—select embryos for transfer by examining characteristics such as their shape, size, cell-division status, and developmental timing using these microscopes.
However, current assessment methods have limitations because they depend mainly on two-dimensional images and the experience of embryologists, making them largely qualitative. There has therefore been a continuing demand for more objective and quantitative assessment methods.
To overcome these limitations, the research team applied holotomography. This label-free technique requires neither cellular staining nor fluorescent markers. Instead, it measures how light is refracted as it passes through a cell, enabling the internal structure of a live cell to be imaged in three dimensions without causing damage.
The technology can also quantitatively measure the refractive index, which varies according to the density and composition of intracellular materials, allowing researchers to analyze even subtle changes in cellular structure.
Using holotomography, the researchers analyzed the internal structures of oocytes and embryos in three dimensions while keeping them alive and intact. Through experiments using mouse models, they also demonstrated that various biophysical features obtained from early-stage embryos could be used to predict their subsequent development.
Furthermore, the study demonstrated that combining quantitative measurements with artificial intelligence (AI) analysis could enable more advanced assessment of oocytes and embryos beyond conventional morphological assessment, which primarily evaluates features such as cell shape and size.
The related studies have been submitted to international academic journals and are currently under review.
※ Papers: Title: Label-free 3D subcellular phenotyping of mouse embryos by holotomography enables early prediction of blastocyst formation
Journal: bioRxivDOI: https://doi.org/10.1101/2024.05.07.592317
Title: Holotomography reveals biophysical remodeling of mouse oocytes during post-ovulatory aging
Journal: bioRxiv
DOI: https://doi.org/10.64898/2026.06.18.733271
The research was conducted through an industry–academia–clinical collaboration involving the KAIST Department of Physics, the Fertility Center at CHA Bundang Medical Center led by Professor Ji Hyang Kim, Avenues, and Tomocube.
It represents a notable example of interdisciplinary research in which an advanced optical platform developed through fundamental physics research was applied to the field of reproductive medicine.
“This award is particularly meaningful because it demonstrates that a new approach for quantitatively analyzing live oocytes and embryos in three dimensions without damaging them has been recognized for its academic value in reproductive medicine,” said Professor Park.
“We are currently conducting validation studies using human oocytes. We will continue our research to develop this approach into an objective and accurate technology for assessing oocytes and embryos and ultimately contribute to improving the success rate of fertility treatment.”
The research was supported by the Global Leader Research Program of the National Research Foundation of Korea and the Research-Centered Hospital R&D Program of the Korea Health Industry Development Institute.
2026.07.21 View 745 -
KAIST’s Solarstill Box Wins Red Dot’s Highest Honor for Producing Clean Water Using Only Sunlight
A KAIST design that produces clean drinking water using only sunlight, without electricity or fuel, has won one of the world’s most prestigious design awards. The design received high international recognition not only for its technical completeness, but also for its sustainable approach, which enables residents in regions affected by water scarcity and water pollution to produce and manage clean water on their own.
KAIST (President Choongsik Bae) announced on the 17th of July that “Solarstill Box,” a solar-powered water purification and desalination device developed by a research team led by Professor Sangmin Bae from the Department of Industrial Design, has won the “Red Dot: Best of the Best” award in the Social Impact category at the Red Dot Award: Design Concept 2026, a globally renowned design competition.
The Red Dot Design Award is considered one of the world’s three major design awards, along with Germany’s iF Design Award and the United States’ IDEA (International Design Excellence Awards). Among them, the “Best of the Best” is the highest distinction, awarded to works that demonstrate the greatest innovation and completeness in each category.
This award is significant because it goes beyond recognition of product design excellence. It represents international acknowledgment that design can help address the shared human challenge of clean water access and create sustainable social value.
Solarstill Box is a low-cost water purification and desalination device that converts seawater or water containing salt and pollutants into drinking water through solar distillation. It was developed for coastal areas, saline regions, and off-grid communities that rely on contaminated water sources. The device is designed to produce clean water using only solar energy, without electricity, fuel, or separate filters.
The stepped trays inside the device increase the surface area for evaporation, improving the efficiency of solar distillation. As evaporated water vapor condenses on the transparent cover, contaminants such as salt, heavy metals, and bacteria are naturally separated, allowing only clean water to be collected.
Solarstill Box is also made of flat components based on Plaveneer sheets, allowing it to be produced and transported in a flat-pack format. Anyone can assemble it locally in about 20 minutes, and maintenance costs are reduced because only damaged parts need to be replaced. Another key feature is that it moves beyond the one-time delivery of relief supplies and instead creates a sustainable drinking water system that local residents can install and manage themselves.
Solarstill Box was developed as part of the “SEED Project,” a social contribution design research project by ID+IM Design Lab, led by Professor Sangmin Bae of the Department of Industrial Design, in collaboration with World Vision. Following this award, the research team plans to work with World Vision to pursue product commercialization and establish local distribution models. In the long term, the team aims to expand the project into a cooperative-based operating model in which local residents directly participate in manufacturing, distribution, and maintenance, thereby supporting both clean water access and sustainable community development.
The project aimed to improve access to clean drinking water in low-resource regions where water scarcity and pollution make it difficult to secure safe water. The design development was carried out by Professor Sangmin Bae, doctoral student Jungwoo Kim, master’s student Minsu Kim, and undergraduate student Seunghee Han.
Professor Sangmin Bae said, “Design should go beyond creating beautiful products; it should serve as a tool for solving social problems and changing people’s lives,” adding, “We hope Solarstill Box will provide practical help to communities in need of clean water and spread as a sustainable drinking water system that residents can operate on their own.”
Solarstill Box will be introduced to a global audience through the official award ceremony and exhibition of the Red Dot Award: Design Concept 2026, which will be held in October.
2026.07.20 View 690 -
KAIST Develops AI Technology to Detect Early Warning Signs of Cerebrovascular Disease at Home
Cerebrovascular disease can lead to serious aftereffects if treatment is delayed, but it is difficult to detect before symptoms appear. KAIST researchers have developed an AI technology that analyzes real-life daily activity and environmental data from older adults to identify digital behavioral markers of cerebrovascular disease risk based on subtle changes at home.
KAIST (President Choongsik Bae) announced on the 12th of July that a research team led by Professor Lisa Lim from the Department of Civil and Environmental Engineering, in collaboration with Professor Jo Woon Chong from the School of Electronic and Electrical Engineering at Sungkyunkwan University (President Ji-Beom Yoo) and Professor Kyung-Hee Cho from the Department of Neurology at Korea University Anam Hospital (President Dongwon Kim), has developed an AI framework that uses long-term lifelog data collected in the homes of older adults to identify the prodromal phase of cerebrovascular disease and assess imminent diagnostic risk.
The study was based on lifelog data from 1,224 older adults collected by LivOn Care Co., Ltd. in real residential environments. The research team analyzed a total of 13,362 two-week lifelog samples, demonstrating the possibility of detecting early warning signs through subtle changes in daily life, rather than relying only on the conventional approach of treating the disease after it has already occurred.
The research team developed AI technology that identifies cerebrovascular disease risk stages by analyzing daily activity, sleep, circadian rhythm, and indoor environmental information, together with age and chronic disease data. This shows that changes in everyday living patterns, which are difficult to capture through hospital examinations alone, can serve as important clues for detecting early risk signals of cerebrovascular disease.
The team also succeeded in assessing whether a cerebrovascular disease diagnosis was approaching by analyzing changes in lifestyle patterns over time. When lifelog data from within four weeks before diagnosis were classified as the “imminent diagnostic risk period” and data from 12 weeks before diagnosis were classified as the “non-imminent period,” the AI distinguished between the two periods with a high accuracy of 96.53%. This result suggests that even before a hospital visit, small changes in daily life may help identify whether the risk of cerebrovascular disease has increased.
Another key feature of this study is that the AI does not simply determine whether a risk exist, but also applies explainable AI to identify the lifestyle patterns and environmental factors behind its judgment.
The analysis showed that older adults in the prodromal phase of cerebrovascular disease tended to show frequent continuous activity between 10 p.m. and 2 a.m., a time when the body would normally be preparing for sleep. In other words, irregular daily rhythms, such as delayed sleep onset and a reduced distinction between day and night activity, were closely associated with prodromal signals of cerebrovascular disease.
The researchers also found that as the time of diagnosis approached, the frequency of continuous activity during the evening period from 6 p.m. to 10 p.m. noticeably decreased, while inactive time increased. Low indoor humidity, indicating a dry indoor environment, also emerged as an important factor in identifying an imminent diagnostic risk.
The research team expects this technology to be used as a digital healthcare tool that can objectively monitor the health status of older adults who may have difficulty clearly describing their own condition, while providing useful early warning indicators to medical professionals and caregivers.
However, the team explained that this study does not predict the exact onset of cerebrovascular disease or replace clinical diagnosis. Rather, it is a supportive technology intended to aid prevention and early medical consultation, and prospective validation in larger patient groups will be necessary before actual clinical application.
Professor Lisa Lim said, “The key point of this study is not that AI should replace a hospital diagnosis, but that it can first detect risk signals in small lifestyle changes at home and help connect patients to medical care at the right time,” adding, “We expect this technology to contribute to a shift from a healthcare system that treats disease after it occurs to one that supports prevention and early intervention.”
This study, with KAIST Dr. Jeongyeop Baek as the first author, was published on June 2 in npj Digital Medicine, a leading international journal in digital healthcare published by Nature Portfolio, with an impact factor of 15.1 and ranked in the top 0.3% of JCR journals.
※ Paper title: AI home monitoring for behavioral markers of cerebrovascular disease
DOI: https://doi.org/10.1038/s41746-026-02836-7
This work was also supported by the National Research Foundation (NRF) grant funded by the Korea government (Ministry of Science and ICT) (RS-2025-16068234).
2026.07.13 View 1023 -
KAIST: Dementia-Causing Substance Turns On a Therapeutic “Switch”
A substance that worsens dementia has become a “switch” that initiates treatment. KAIST researchers have developed a new therapeutic approach that uses hydrogen peroxide (H₂O₂), a reactive oxygen species that damages cells and increases in the brains of patients with Alzheimer’s disease, to activate a drug selectively in diseased brain tissue. The team also confirmed improvements in cognitive function through animal experiments, presenting a new possibility for next-generation dementia treatment.
KAIST announced on the 2nd that a research team led by Professor Mi Hee Lim of the Department of Chemistry, in collaboration with Professor Mingeun Kim of Chonnam National University, Dr. Chul-Ho Lee and Dr. Kyoung-Shim Kim of the Korea Research Institute of Bioscience and Biotechnology, and Dr. Young-Ho Lee of the Korea Basic Science Institute, has developed a prodrug that is activated selectively in the diseased brain in Alzheimer’s disease and confirmed its therapeutic effects through animal experiments.
A prodrug is a drug that initially has minimal therapeutic effect but is converted into an active therapeutic agent only under specific conditions inside the body. In this study, the prodrug was designed to be activated only when it encounters hydrogen peroxide, which increases in the brains of patients with Alzheimer’s disease, allowing it to function as a “smart therapeutic agent” that selectively acts in diseased brain tissue.
In the brains of Alzheimer’s disease patients, hydrogen peroxide, which damages cells, is elevated above normal levels. Until now, it has generally been regarded only as a harmful substance that should be removed. However, the research team devised a method to use it instead as a signal that activates a drug.
The prodrugs developed by the research team, BE-1 and BE-2, are designed to remain minimally reactive in a healthy brain. However, when they encounter hydrogen peroxide in a brain affected by dementia, they are converted into active therapeutic compounds, AP-1 and AP-2. Through this process, they reduce reactive oxygen species, including hydrogen peroxide, while also preventing amyloid beta (Aβ) peptides — peptides known as a major cause of dementia that accumulate in the brain and damage nerve cells — from aggregating into highly toxic clumps.
Using advanced analytical techniques, the research team confirmed that the activated drug alters the morphology of amyloid beta aggregates and suppresses their growth into large aggregates.
These effects were also confirmed in Alzheimer’s disease mouse models. The drug crossed the blood-brain barrier (BBB), a protective barrier that controls whether substances in the blood can enter the brain, and was converted into the therapeutic compound inside the diseased brain. In mice that received long-term drug administration, oxidative stress in the hippocampus, which is responsible for memory, was reduced, and amyloid beta accumulation in the brain also decreased. In behavioral experiments assessing the ability to recognize new objects and navigate mazes, cognitive function was also found to improve.
This study is significant in that the drug was designed to operate only where needed by using the environment of the diseased brain itself. This approach presents a new strategy for dementia treatment that can enhance therapeutic efficacy while reducing side effects, and it is expected to be applicable to the treatment of other neurodegenerative diseases, such as Parkinson’s disease.
Professor Mi Hee Lim of KAIST’s Department of Chemistry said, “This study is meaningful in that hydrogen peroxide, which had previously been regarded only as something to be eliminated, was used as a signal to activate a drug. We expect this strategy, which activates drugs in diseased tissue, to become a new platform for treating complex diseases such as Alzheimer’s disease more safely and effectively.”
This study was co-first-authored by Jimin Lee and Eunseo Hong, Ph.D. candidates in KAIST’s Department of Chemistry, and was published online on May 31, 2026, in the international journal Small (Impact Factor: 12.1, top 10% in the field of chemistry).
※ Paper title: A Prodrug Approach for Activity-Based Chemical Modulation toward Multiple Pathological Targets in Alzheimer’s Disease
DOI: 10.1002/smll.74013
This research was supported by the National Research Foundation of Korea’s Leader Researcher Program, Global Leading Research Center Program, Sejong Science Fellowship, Graduate Student Research Encouragement Program, and institutional programs of KRIBB and KBSI.
2026.07.03 View 1587 -
KAIST Begins Developing the World’s First Brain-to-Robot Technology, Moving Robots by Thought and Sending Sensation Back to the Brain
KAIST researchers have begun developing a next-generation brain-robot interface platform that uses human brain signals to control an exoskeleton in real time and sends the tactile and force information sensed by the robot back to the brain.
KAIST, led by President Kwang-Hyung Lee, announced on the 25th that research teams led by Professors Kyoungchul Kong and Jung Kim of its Department of Mechanical Engineering, together with Angel Robotics Co., Ltd., have launched the world’s first bidirectional “Brain-to-Robot” system as a flagship initiative of the Korea Medical Device Development Fund (KMDF). The project runs from April 2026 to December 2032.
Professor Kyoungchul Kong is a world-renowned wearable-robotics researcher who founded Angel Robotics, a developer of walking-assist exoskeletons, and led his team to back-to-back gold medals at Cybathlon, the international competition for assistive technologies for people with disabilities. Professor Jung Kim is a globally recognized researcher who received the Scientist and Engineer of the Month Award for his work on robotic skin. Together, the two teams have formed a consortium to develop a Brain-to-Robot platform that merges neural interfaces with exoskeleton robotics.
Brain interface technologies that let users move a cursor or operate a smartphone with brain signals have already reached the stage of human clinical trials, and U.S. companies such as Neuralink and Synchron are accelerating their development. Existing approaches, however, have struggled to link actual movement and sensory feedback at the same time. They have also concentrated largely on advancing signal decoding itself, without clearly defining the target of control, namely what the brain signals actually drive and what kind of sensory information is returned.
Brain-to-Robot is designed to overcome these limitations head-on. It sets the exoskeleton itself as the control target: brain signals read the user’s movement intentions to drive the robot, and at the same time the robot’s sensory readings are delivered back to the brain. These readings include ground reaction force (the force the floor exerts on the foot), joint torque (rotational force at the joints), and tactile information. The aim is a complete bidirectional interface.
According to the research team, no fully bidirectional Brain-to-Robot system that combines exoskeleton control with sensory feedback has yet been reported anywhere in the world, and the project is expected to mark a turning point in brain interface technology.
Within this system, the KAIST teams are responsible for the core technologies. Professor Kong’s team will develop wearable-robot control and AI-based interpretation of movement intention, and will design a somatosensory interface, a system for transmitting bodily sensory information, that delivers the robot’s sensory data accurately to the Brain Chip, the semiconductor that processes brain signals.
Professor Kim’s team will develop robotic skin that senses in place of impaired sensation for people with disabilities, along with AI-based interpretation of somatosensory information.
The teams will also develop AI-based encoding and decoding algorithms that turn brain signals into robot commands and send the robot’s sensory information back to the brain. A key challenge is processing hundreds of channels of cortical signals, the neural signals generated in the cerebral cortex, while stably maintaining an ultra-low-latency closed loop, a control cycle in which signals are exchanged continuously in real time.
Commercialization of the flagship project will be led by Angel Robotics (KOSDAQ: 455900), the company founded by Professor Kong. The team plans to pursue full-cycle commercialization, from regulatory approval by the Ministry of Food and Drug Safety through to real-world deployment.
“If this technology succeeds, it will open a new rehabilitation paradigm in which people with quadriplegia can move beyond the hospital to walk on their own, pick up objects, and even feel sensation at their fingertips in everyday life,” Professor Kong said.
The research team stressed that, because this is an unprecedented and highly complex convergence technology never attempted at home or abroad, long-term safety, clinical validation, and a regulatory approval framework must advance in parallel with the technology itself. To reach the global market, they added, safety and efficacy testing, the accumulation of clinical evidence, a risk-management system, protection of brain-signal data, cybersecurity, and ethical review must all be addressed in an integrated way.
Meanwhile, KAIST is conducting a wide range of fundamental research in the field of brain interfaces. A research team led by Professor Hyung-Soon Park of the Department of Mechanical Engineering is studying wearable rehabilitation robot technologies based on neural intention-recognition interfaces, which identify users’ movement intentions from brain signals, for the effective treatment of neurological disorders. A research team led by Professor Sungho Cho of the School of Computing is developing AI-based brain-signal interpretation technologies.
A research team led by Professor Jihoon Lee of the Department of Brain and Cognitive Sciences is conducting next-generation brain–machine interface research focused on ultra-low-power bio/neural interface circuits, which connect and process biological and neural signals with low power consumption; wireless neural signal measurement technologies, which measure neural signals without wires; and on-device AI-based closed-loop neuromodulation technologies, which use cyclical control structures to exchange signals in real time.
In addition, a research team led by Professor Hyunjoo Lee of the School of Electrical Engineering is conducting research on high-resolution neural signal measurement and precision brain stimulation based on ultra-miniaturized multimodal neural electrodes, which can simultaneously measure and stimulate multiple types of neural signals. A research team led by Professor Minkyu Je of the Department of AI Semiconductor Systems is studying AI-based semiconductor integrated circuits and system technologies for next-generation neural interfaces. A research team led by Professor Jae-Woong Jeong of the School of Electrical Engineering is conducting research on high-precision brain-signal measurement, which precisely measures neural signals generated in the brain, and neuroengineering based on neural stimulation.
“This Brain-to-Robot flagship project is a world-class, highly challenging convergence research initiative led by the teams of Professors Kyoungchul Kong and Jung Kim,” said KAIST President Kwang-Hyung Lee. “KAIST has a wide range of researchers studying fundamental technologies in brain interfaces, AI, semiconductors, and robotics, and based on this foundation, we will lead innovation in next-generation Brain-to-Robot technologies.”
2026.06.25 View 2196