• Home
  • Introduction to KI
  • Research Highlight
  • Activity
Category: Research Highlight
  • Research Highlight Top Story

    Making End-to-End Driving Robust to Camera Viewpoint Changes

    Prof. Kuk-Jin Yoon’s group at KAIST has developed VR-Drive, a new end-to-end autonomous driving framework that remains robust even when camera viewpoints change across vehicles and sensor setups. ...read more

    3D Reconstruction End-to-End Autonomous Driving (E2E-AD) Viewpoint Generalization
  • Research Highlight

    Customized Solver for Onboard Real-Time Convex Optimization in Autonomous Systems

    Prof. Chang-Hun Lee’s group has developed a customized convex optimization solver enabling real-time onboard optimization for guidance and control in autonomous systems. ...read more

    Autonomous Systems Customized Solver Guidance and Control Real-Time Onboard Optimization
  • Research Highlight

    The gentrification paradox of green-blue adaptation in African cities

    Prof. Kim’s team demonstrated through large-scale causal analysis that green-blue adaptation across African cities enhances climate resilience while simultaneously driving housing pressures and early-stage gentrification dynamics. ...read more

    African cities Energy and Environment Environmental justice Gentrification Housing policy KI for Climate-Environment-Energy Sustainable urbanism Green-blue adaptation Urban climate adaptation
  • Research Highlight

    36 Solutions to Stabilize Earth’s Climate

    The team of Prof. McJeon and Prof. Ou reflected on a 20-year history of climate stabilization wedges framework in a new perspective article in Science. ...read more

    Climate Change Mitigation Integrated Assessment Modeling KI for Climate-Environment-Energy
  • Research Highlight

    Real-Time, Label-Free Classification of Cell Death Pathways via Holotomography-Based Deep Learning Framework

    Prof. YongKeun Park’s group at KAIST has developed a real-time, label-free AI platform that classifies cell death pathways—apoptosis, necroptosis, and necrosis—by combining 3D holotomography with deep learning, achieving 99.3% accuracy. ...read more

    Artificial intelligence Cell death holotomography
  • Research Highlight

    Microbial production of propionic acid through a novel β-alanine route

    Prof. Lee’s group developed a vitamin B12-independent β-alanine route for high-titer propionic acid production in Escherichia coli and Corynebacterium glutamicum. ...read more

    Corynebacterium glutamicum Escherichia coli Metabolic Engineering Propionic acid Sustainability β-alanine
  • Research Highlight

    Machine Learning Uncovers Transcriptional Regulatory Networks of the Human Gut Symbiont Bacteroides thetaiotaomicrons

    Independent component analysis of 461 RNA-seq datasets reveals 110 transcriptional regulatory modules (iModulons) in Bacteroides thetaiotaomicron, expanding its known regulatory network by 22.4% and characterizing 11 previously unknown ECF-sigma factors. ...read more

    Bacteroides thetaiotaomicron CRISPR/Cas9 ECF sigma factor Gut microbiome Machine Learning RNA-seq Transcriptional regulatory network
  • Research Highlight

    CRISPR-Based UPR Reporter Reveals Mechanism of Antibody Homeostasis in Hybridomas

    CRISPR editing and proteomics reveal UPR-mediated control of antibody homeostasis and enable a BiP-based reporter to monitor antibody production stability....read more

    Antibody production CRISPR/Cas9 ER stress Hybridoma Immunoglobulin Proteomics UPR
  • Research Highlight

    TickTockStack: In-Datapath Current Imbalance Elimination Using Clocked Differential Logic in a Voltage Stacked Vector Processor

    Prof. Jung’s team developed TickTockStack, an architecture-circuit co-optimization that suppresses data-dependent current imbalance in voltage-stacked vector processors. ...read more

    Domino logic Energy-efficient design Power delivery network Vector processor Voltage stacking
  • Research Highlight

    Deep learning–integrated multilayer thermal gradient sensing platform for real-time blood flow monitoring

    Prof. Kwon’s team developed a wireless wearable platform that combines multilayer thermal sensing with deep learning to monitor blood flow in real time and improve continuous blood pressure estimation. ...read more

    Blood flow monitoring Blood pressure monitoring Deep Learning Thermal sensing Wearable sensor Wireless healthcare

Posts navigation

Page 1 Page 2 … Page 22 Next
KAIST Institutes for Interdisciplinary and Integrative Research
KmatriX
Copyright © 2015 KAIST MATRIX. All rights reserved.
291 Daehak-ro Yuseong-gu Daejeon, 34141, Republic of Korea
Partnered with KAIST Breakthroughs and KAIST Compass