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KAIST Characterizes Barium Titanate’s Optical Properties for Next-Generation Opt
< (From left) Ph.D. candidate Jiwon Kang from KAIST, Dr. Nina Hong from J.A. Woollam Co., Professor Harry A. Atwater from Caltech, and Professor Min Seok Jang from KAIST > Faster, more efficient optical communications require precise control of light and minimal opti
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Devilray Exposes Blind Spots in FBS Detection
DAEJEON, South Korea — Governments use them to track phones. Criminals drive them through city streets and send texts that look like they came from your bank. For 20 years, researchers have been building tools to catch these fake cell towers. They have tested those tools mostly against fake to
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KAIST Makes Virtual Roughness Visible to Improve VR Collaboration
< The awards ceremony on October 7. From left: Professor Dooyoung Kim, Ph.D. candidate Minju Baeck, and Professor Woontack Woo of KAIST, and Professor Bruce Thomas (award committee member) > What if you could see how rough an object feels, even without touching it? A
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Breakthroughs(Vol.27) - Fall 2026
KAIST Breakthroughs Fall 2026 Vol.27 Biannual Engineering Research Webzine https://breakthroughs.kaist.ac.kr
Notice & News >

KAIST Cuts AI Fine-Tuning from 10 Hours to 3… Faster Development of Medical and

KAIST Develops Ruthenium Catalyst that Matches Platinum in Hydrogen Production

KAIST Uses Wireless Neural Chip to Track Brain Changes in Real Time After Alzhei

KAIST Predicts the Lifetime of Blue OLEDs by Measuring How Their Light Responds

KAIST Develops Gravity-Independent Wearable Eyedrop Patch for Use in Space

KAIST Develops AI That Reconstructs Cloud-Covered Ground in Satellite Images wit

Same “Depressed” Body Movements, Opposite Brain Responses: KAIST Study Reveals D

2026 Spring_Dean's List_Group Photo

