One of the pledges by new KAIST President Lee Kwang-hyung is to make students study less, a direction that borders on bizarre in Korea’s fiercely competitive education system, and even more so for the top-tier research university.
A couple in their 90s donated a building worth some 20 billion won ($17.6 million) to KAIST, the university announced Sunday. “Samsung Brush Chairman Jang Seong-hwan and his wife Ahn Ha-ock donated their real estate in Nonhyeon-dong, Gangnam...
For three years in a row, no student admitted to KAIST in the fall semester chose nuclear power or quantum engineering majors — until last year. Only five freshmen in 2018 and four freshmen in 2019, who were admitted in the spring semester...
KAIST appointed Lee Kwang-hyung, a bio and brain engineering professor at the institution, as its new president on Thursday, a decision that could reorient the technology and science research university more toward start-ups.
A giant, white-and-translucent Quonset-shaped structure sits beside the austere, red-brick Korea Institute of Radiological & Medical Sciences in Nowon District, northern Seoul. It’s utterly sci-fi in form, and to a certain degree in function.
KAIST developed a negative pressure room that can be installed and ready for a Covid-19 patient in 15 minutes. These modular rooms cost only one-fifth of what it would take to build a full-fledged negative pressure room, which is around \350 million,
Kim Jae-chul, founder and honorary chairman of Dongwon Group, has donated 50 billion won ($46 million) to KAIST to support the study of artificial intelligence (AI).
Science and technology have been some of the most powerful weapons used by mankind to fight epidemics, and Shin Sung-chul, president at KAIST, sees the coronavirus as an opportunity to arm Korea with effective tools.
Kim Byeong-uk, who is paralyzed, walks over obstacles with an exoskeleton developed by a KAIST team and Yonsei University’s Severance Hospital during a Cybathlon competition held in Daejeon on Wednesday.
Researchers at KAIST have developed a tool to detect deepfakes - computer-manipulated images or videos that are so realistic they look real to most viewers.