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Category: Research Highlight
  • Research Highlight

    Proximity Perception-Based Grasping Intelligence: Toward the Seamless Control of a Dexterous Prosthetic Hand

    A novel perception system, the proximity perception-based grasping intelligence (P2GI) system, has been developed to enhance the dexterity of prosthetic hands, closely mimicking human hand functionality. Utilizing embedded proximity sensors and a real-time decision-making algorithm, the P2GI system accurately maps the point cloud of an object and infers the user’s intended grasp posture, achieving a high accuracy of grasp posture classification and a high rate of task success. This advancement promises significant improvements in prosthetic hand control, potentially broadening the application of highly dexterous prosthetic hands in everyday tasks....read more

    Autonomous system intention recognition KI for Health Science and Technology Prosthetic hand Wearable Digital Healthcare
  • Research Highlight

    Direct Blood Cell Flow Imaging in Microvascular Networks

    Prof. Wang-Yuhl Oh’s group has developed, for the first time, an imaging technology that visualizes blood cells flowing in complex three-dimensional vascular networks without using any contrast agent. ...read more

    Biophotonics Cellular-resolution retinal imaging Computational imaging KI for Health Science and Technology Multi-MHz phase-stable optical coherence tomography (OCT)
  • Research Highlight

    Artificial Intelligence to discover hidden enzymes

    A joint research team composed of members from KAIST and UCSD developed an artificial intelligence that predicts enzyme functions from protein sequences....read more

    AI Deep Learning Enzyme KI for the BioCentury and KI for Artificial Intelligence Machine Learning Metabolic and Biomolecular Engineering National Research Laboratory (MBEL) Metabolic Engineering Metabolism
  • Research Highlight

    Enabling E2E Privacy Enhancing Technology: Hardware Acceleration for Torus Fully Homomorphic Encryption (TFHE)

    The research team led by Prof. Joo-Young Kim at KAIST ITC has developed Strix and Morphling, accelerator designs for Torus Fully Homomorphic Encryption Schemes, addressing the computational bottleneck in bootstrapping using various techniques such as ciphertext batching and transform-domain reuse....read more

    Accelerator Domain-Specific Accelerator Fully Homomorphic Encryption (FHE) Hardware Security KAIST Institute for Information Technology Convergence Privacy Enhancing Technology
  • Research Highlight

    Current-Shared Multi-Phase FIVR (Fully-Integrated Voltage Regulator)s with Phase-Shedding-Optimized techniques

    The research team led by Prof. Kim at KAIST ITC has developed a fully integrated multi-phase buck converter for on-chip power management unit that evenly balances the multiple inductor currents without significant power overhead. It also achieves an even more optimal frequency response and output ripple with optimized phase-shedding techniques....read more

    Integrated voltage regulator (IVR) KAIST Institute for Information Technology Convergence Multi-phase converter. Power management IC
  • Research Highlight

    Two-Year Journey of Team KAIST to the Finals of MBZIRC 2023

    Team KAIST, comprising students from the labs MORIN (of Prof. Jinwhan Kim) and USRG (of Prof. Hyunchul Shim), in partnership with PABLO AIR, won the 2nd Place Winner position in the MBZIRC Maritime Grand Challenge, one of the world’s largest robotics competition....read more

    Fundamental Research on Future Robotics Guidance KI for Robotics Marine robotics Navigation and Control Vehicle Dynamics
  • Research Highlight

    Navigation Safety of GNSS/IMU Integrated System for Autonomous Vehicles

    Prof. Lee's group has developed an algorithm to ensure navigation integrity against Inertial Measurement Unit (IMU) sensor faults for safety-critical GNSS/IMU integrated navigation applications....read more

    Autonomous Vehicles Fundamental Research on Future Robotics Integrity KI-Robotics Navigation
  • Research Highlight Top Story

    High-resolution quantitative X-ray phase nanoimaging based on cutting-edge optical imaging methods

    Prof. Park’s group has developed a novel high-resolution quantitative X-ray phase imaging system that can overcome two long-standing challenges in X-ray nanoimaging: the limitations in image resolution and the instability of phase retrieval methods. They applied optical imaging techniques that they have recently developed in the same group. The imaging systems have been successfully tested in both synchrotron source and X-ray free-electron laser facilities at Pohang Accelerator Laboratory....read more

    Biophotonics KI for Health Science and Technology phase imaging synchrotron source X-ray free-electron laser X-ray imaging
  • Research Highlight

    Wide-Field Three-Dimensional Depth-Invariant Cellular-Resolution Imaging of the Human Retina

    Prof. Wang-Yuhl Oh’s group has developed, for the first time, a cellular-resolution imaging technology in a wide field human retina at all three-dimensional locations....read more

    Biophotonics Cellular-resolution retinal imaging Computational imaging KI for Health Science and Technology Multi-MHz phase-stable optical coherence tomography (OCT)
  • Research Highlight

    Energy-Efficient Electrified Direct Air Capture (e-DAC)

    "Electrified Fiber Sorbent" by Prof. Dong-Yeun Koh’s group offers a breakthrough in Direct Air Capture (DAC) technology, using electricity for efficient sorbent regeneration. Recognized by an RD100 Award, it is a step towards "Negative Emissions."...read more

    Carbon Removal DAC Direct Air Capture and Carbon Removal Fiber Sorbents Renewable Electricity Saudi Aramco CO2 Management Center

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