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Category: Research Highlight
  • Research Highlight

    AI for Social Good Summit: Mobilizing Artificial Intelligence for Maternal Health in Bangladesh

    KPC4IR’s Dr. Cornelius Kalenzi presented a paper at the AI for Social Good Summit, which brought together academics and government representatives to showcase joint research outcomes to enhance well-being in Southeast Asia...read more

    AI and Digital Health for Maternal Health Artificial intelligence Digital Healthcare Korea Policy Center for the Fourth Industrial Revolution (KPC4IR) Maternal Health in Developing countries
  • Research Highlight

    Effective mRNA Delivery by Condensation with Cationic Nanogels Incorporated into Liposomes

    Prof. Chung’s group has developed an mRNA delivery system using cationic nanogels as a condensing material for mRNA and a lipid-based nano-formulation. ...read more

    KI for the BioCentury
  • Research Highlight

    Sex-specific effects of social isolation on shaping social behavior and maturing cortical neurons during adolescence

    Prof. Lee’s group found adolescent social isolation dampens sociability and cortical maturation only in female mice. They performed anatomical, physiological, behavioral, genetic knock-out, and optogenetic studies to prove that the expression of a specific gene, parvalbumin, in GABAergic neurons is important for shaping sociability in female mice....read more

    Brain development KI for the BioCentury Neuroscience social isolation
  • Research Highlight

    An eDRAM In-Memory-Computing-Based Reconfigurable Spatial Accelerator with Triple-Mode Cell for Dynamic Resource Switching

    A research team led by Prof. Yoo at KAIST ITC has developed DynaPlasia, an in-memory computing (IMC) semiconductor that performs artificial intelligence operations by integrating a computing logic directly inside a DRAM memory cell....read more

    eDRAM In-memory Computing KAIST Institute for Information Technology Convergence Processing-in-Memory Triple-mode Cell
  • Research Highlight

    Ultra-strong soft gripper that lifts 100kg with 130g

    Prof. Lee’s group, in collaboration with KIST, innovated a lightweight, cost-effective soft robotic gripper capable of securely holding 100kg objects, promising enhanced utility in various domestic and industrial applications....read more

    Cooperative Robot Fundamental Research on Future Robotics KI for Robotics Manipulation Soft Gripper
  • Research Highlight

    2.5D Laser-Cutting-Based Customized Fabrication of Long-Term Wearable Textile sEMG Sensor

    Prof. Jung Kim’s group has developed a 2.5D laser cutting method to accelerate customized sEMG sensor fabrication from design to production. sEMG sensors measure human muscle activity and are widely used in wearable systems for human-machine interaction. In order to use sEMG sensors for a long time in daily life, it is necessary to develop a sensor that can be customized and worn easily and does not affect the signal due to movement. This customizable textile-based sEMG sensor provides high wearing comfort and improves the sensor signal quality through stable contact....read more

    Fundamental Research on Future Robotics intention recognition KI for Robotics sEMG sensor wearable robotics
  • Research Highlight

    A new toughening strategy for self-healing polymer

    Prof. Kang’s group has developed a new toughening strategy for self-healing polymers crosslinked by metal–ligand coordination using mixed counter anion dynamics. This strategy concurrently and significantly enhances their mechanical toughness and self-healing efficiency....read more

    KI for the NanoCentury (KINC) Polymer physics Self-healing polymer Self-healing soft materials Supramolecular chemistry
  • Research Highlight Top Story

    Human muscle-inspired Hercules artificial muscle fiber

    Prof. Sang Ouk Kim’s group has developed robust and durable actuator fibers by incorporating 2D graphene fillers in aligned liquid crystal elastomer matrix; these fibers surpass the strength and toughness of human muscle. The reversible percolation of the graphene filler network within the composite structure upon contraction/recovery actuation offers interesting electrical switching behavior, as well as work capacity and power density far beyond those of human or mammalian muscles....read more

    Actuator Artificial muscle Graphene KI for the NanoCentury Liquid crystal elastomer Post-Human Mechanical Actuator Materials
  • Research Highlight

    Efficient Exploration of Multimetallic Alloys for Optimal Bifunctional Catalysts in Water Splitting through Pareto Active Learning and Experiments

    A study published by Prof. Hee-Tae Jung’s group on the efficient production of renewable energy through the search for optimal bifunctional multimetallic alloy catalysts has shown promising results. The study used a Pareto active learning framework and carbothermal shock method for nanoparticle synthesis to efficiently determine optimal metallic compositions for bifunctional catalysts of up to four component elements for electrocatalytic reactions. The approach can be extended to different catalytic reaction fields and other multifunctional applications....read more

    Bifunctional catalysts Green Hydrogen Multimetallic alloys Pareto active learning Renewable energy Saudi-Aramco-KAIST CO2 Management Center Water Splitting
  • Research Highlight

    Semiconductor Design Research for Artificial Intelligence (AI)

    PIM is an abbreviation of Processing In Memory and is a kind of future semiconductor memory architecture. It makes it possible for memory and logic processing to operate together with higher speed and less energy consumption. In this bulletin, the three major activities of PIM-SDRC and its achievements are briefly introduced. The center will carry out key roles in building a PIM IP hub, making the infrastructure design service and relevant IP business, and training competent design manpower....read more

    AI Semiconductor Design KAIST Institute for IT Convergence

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