Kaist

KAIST, AI judges manufacturing beyond craftsmanship and language barriers​

  <(From Left) M.S candidate Inhyo Lee, Ph.D candidate Heekyu Kim, Ph.D candidate joonyoung Kim, Professor Seunghwa Ryu>   Most of the plastic products we use are made through injection molding, a process in which molten plastic is injected into a mold to mass-produ

Where did this fish come from？ Securing World-Class Seafood Traceability Technol

  < (From left) KAIST Ph.D. candidate Hyeontaek Hwang, Research Professor Yalew Kidane, Senior Researcher Young-jong Lee, Researcher Geon-woo Park, and (Top) Professor Daeyoung Kim >   When buying seafood at a supermarket, you may have wondered where the fish was caught

AI Gets a Private Tutor, Learning Human Preferences More Accurately​

  < Professor Junmo Kim and Ph.D. candidate Minchan Kwon, School of Electrical Engineering >   No matter how much data they learn, why do Artificial Intelligence (AI) models often miss the mark on human intent? Conventional "comparison learning," designed to he

Breakthroughs(Vol.25) - Fall 2025

KAIST Breakthroughs Fall 2025 Vol.25 Biannual Engineering Research Webzine https://breakthroughs.kaist.ac.kr