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Category: Research Highlight
  • Research Highlight

    The KAIST Korea Policy Center for the Fourth Industrial Revolution (KPC4IR) published a guide entitled “Using AI to Support Healthcare Decisions: A Guide for Society” through international collaboration with experts from the UK and Singapore.

    KPC4IR developed the world’s first guide to the use of artificial intelligence in healthcare for society in collaboration with the Lloyd’s Register Foundation Institute for the Public Understanding of Risk at the National University of Singapore and Sense about Science, a non-profit organization in the UK. The guide was presented during the 2021 SIG-KDD (Special Interest Group on Knowledge Discovery and Data Mining) Conference on August 15. This AI guide specialized for the healthcare sector helps citizens receive safe and precise biomedical diagnoses and treatments. It is a timely guide to the use of artificial intelligence for society in the era of accelerating digital innovations under COVID-19. ...read more

    Fourth Industrial Revolution Intelligence Center (FIRIC) Korea Policy Center for the Fourth Industrial Revolution (KPC4IR) Using AI to Support Healthcare Decisions: A Guide for Society ‘reliability’ of AI applications
  • Research Highlight Top Story

    Fiber Sorbents for Energy-Efficient CO2 Capture

    Prof. Koh’s group conceived a feasible route for developing a scalable platform for CO2 capture (including direct air capture) using metal-organic frameworks. MOF-based fiber sorbents show high CO2 uptake and low pressure drop for long-term cyclic operation in direct air capture mode....read more

    Adsorption CO2 capture Direct Air Capture metal-organic frameworks Saudi-Aramco-KAIST CO2 Management Center
  • Research Highlight

    KPC4IR hosted an international online conference, 'The Risk Quotient 2020: COVID-19 Pandemic and A Brave New World'

    The KAIST KPC4IR (Korea Policy Center for the 4th Industrial Revolution) and the Lloyd's Register Foundation Institute for the Public Understanding of Risk (IPUR) at the National University of Singapore (NUS) jointly hosted the Risk Quotient (RQ) 2020 edition. The conference focused on digital innovation accelerated by COVID-19, structural changes in the economy, and response strategies through the 4th Industrial Revolution technologies. Leading global experts from academia, the public, and industry, including NUS, Tsinghua University, the University of Tokyo, the Korea Educational Development Institute, the Korea Information Society Development Institute, and Kakao Mobility, were invited to examine significant challenges to help Asia navigate the post-COVID-19 and Fourth Industrial Revolution (4IR) eras....read more

    Fourth Industrial Revolution Intelligence Center (FIRIC) Korea Policy Center for the Fourth Industrial Revolution (KPC4IR) The impact of COVID-19 on digital innovation/ education labor/ economy/ and future technology leadership through the 4th Industrial Revolution technology
  • Research Highlight

    Eco-friendly C1 gas conversion technology using microbe-photo-responsible nanoparticle hybrid system

    Prof. Cho’s group has developed an artificial photosynthesis system using a non-photosynthesis microorganism attached to photo-responsive nanomaterials....read more

    Acetogenic bacteria Artificial photosynthesis C1 gas refinery Cadmium sulfide Human Microbiome Control KAIST Institute for BioCentury Next generation biological C1 gas utilization system
  • Research Highlight

    Radar-Assisted Channel Measurement System for Beyond 5G Wireless Communication in Sub-THz Band

    Prof. Gye-Tae Gil’s research team at the KI IT Convergence Lab. developed a novel technique for estimating the path loss parameter of a wireless channel using a monostatic radar, and showed the feasibility of the technique through a channel measurement campaign in a real indoor environment....read more

    B5G B5G/6G Mobile Communications and Wireless Power Transfer Technology Channel Measurement KAIST Institute for IT Convergence Millimeter-wave Radar-Communication Research Center Radar Sub-THz Wireless Communication
  • Research Highlight

    Radar-based Navigation for All-weather Autonomous Driving

    Radar is a widely adopted sensor for automotive and military purposes; however, few studies have focused on using radar as the dominant navigational sensor. Unlike Light Detection and Ranging (LiDAR) and cameras, radar is less sensitive to light condition and even robust under heavy rain or dust....read more

    Future Mobility Technologies KAIST Institute for Robotics Localization and Mapping Navigation Robotics
  • Research Highlight

    Ultrahard, Yet Flexible Hybrid Nanocomposite Reinforced by 3D Inorganic Nanoshell Structures for Flexible Protective Film

    Prof. S. Jeon, B.-S. Bae, S.M. Han, and J.-W. Hong’s groups have developed a nontrivial type of nanocomposite combining organic-inorganic (O-I) hybrid materials with 3D oxide nanostructure. The 3D hybrid nanocomposite film simultaneously achieves superior hardness, optical transparency, and flexibility....read more

    3D nanopatterning 3D nanostructure flexible protective film KAIST Institute for the NanoCentury Nanocomposite NT for Climate Change organic-inorganic hybrid material proximity-field nanopatterning (PnP)
  • Research Highlight

    Development of semiconductor quantum dot symmetry control technology

    Prof. Cho's group succeeded in controlling the triangular symmetry of nitride semiconductor quantum dots for the first time by using a three-dimensional nano-pyramid structure and a self-limited growth method. With precise control of the symmetry of the quantum dots, it would be useful for developing polarization-entangled photon pair emitters....read more

    3-Fold symmetry Advanced Opto-electronics Fine-structure splitting KAIST Institute for the NanoCentury NT for Advanced Opto-Electronics Quantum dot Semiconductor quantum dot
  • Research Highlight

    New method enables holographic imaging without interferometry

    Prof. YongKeun Park’s group has developed a novel method for non-interferometric holographic imaging. The method, based on Kramers-Kronig relations, provides holographic images of biological specimens using an optical microscope simply by controlling the illumination beam....read more

    Biophotonics KAIST Institute for Health Science and Technology Quantitative Phase Imaging Refractive index tomography
  • Research Highlight

    Accessing human uncertainty via the lens of deterministic neural networks

    Prof. Sang Wan Lee’s team explored the possibility of accessing human uncertainty via the lens of deterministic neural networks. Medical image diagnosing tests with 64 physicians showed that an ensemble neural network has the capacity to perform human uncertainty inference....read more

    AI Emerging deterministic neural networks Human uncertainty inference KAIST Institute for Artificial Intelligence

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