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In October of this year, KAIST signed an 'Agreement for the Training Program for AI Semiconductor Designers' with Samsung Electronics, to conduct joint research and actively nurture master's and doctorate researchers in the field of Semiconductors designed exclusively for AI devices. To celebrate this commemorative agreement for cooperation bound for mutual success, Samsung Electronics gifted a set of 5 ducks to KAIST.
The Duck Pond and the Geese have been representing KAIST as famous mascots.
It all started back in 2000, when the incumbent President, Professor Kwang Hyung Lee served was then a professor at the Department of Bio and Brain Engineering, he first picked up a pack of ducks from Yuseong Market and started taking care of it on campus around the Carillon pond. While the ducks came and went, eventually being replaced with a pack of geese over the time, for more than 20 years, the pack of feathery KAISTians stole the eyes of the passersby and were loved by both the on-campus members and the visitors, alike.
The representative of the Samsung Electronics said that the pack of ducks comprising of a new breed contains the message of SEC that it hopes that the PIM semiconductor technology will grow to become the super-gap technology that would turn heads and grab attention of the world as the mascot of Korea's technological prowess under the combined care of KAIST and SEC.
Would the ducks find KAIST likable? We will keep you informed of how they are doing!
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research KAIST Develops Neuromorphic Semiconductor Chip that Learns and Corrects Itself
< Photo. The research team of the School of Electrical Engineering posed by the newly deveoped processor. (From center to the right) Professor Young-Gyu Yoon, Integrated Master's and Doctoral Program Students Seungjae Han and Hakcheon Jeong and Professor Shinhyun Choi > - Professor Shinhyun Choi and Professor Young-Gyu Yoon’s Joint Research Team from the School of Electrical Engineering developed a computing chip that can learn, correct errors, and process AI tasks - Equippin
2025-01-17 -
research KAIST Develops Insect-Eye-Inspired Camera Capturing 9,120 Frames Per Second
< (From left) Bio and Brain Engineering PhD Student Jae-Myeong Kwon, Professor Ki-Hun Jeong, PhD Student Hyun-Kyung Kim, PhD Student Young-Gil Cha, and Professor Min H. Kim of the School of Computing > The compound eyes of insects can detect fast-moving objects in parallel and, in low-light conditions, enhance sensitivity by integrating signals over time to determine motion. Inspired by these biological mechanisms, KAIST researchers have successfully developed a low-cost, high-speed c
2025-01-16 -
event KAIST Alumni Association to Honor Alumni of the Year Award Winners
Photo 1. Photo of the KAIST Alumni of the Year Award Recipients (From left) UST President Lee-whan Kim, CEO Han Chung of iThree Systems Co., Ltd., CEO Dong Myung Kim of LG Energy Solution Co., Ltd., and Professor Hyun Myung of the School of Electrical Engineering at KAIST KAIST (President Kwang Hyung Lee) announced on Monday, the 13th of January that the Alumni Association (President Yun-Tae Lee) has selected its Alumni of the Year. This year’s honorees are: ▴ President Lee-whan K
2025-01-15 -
research KAIST Research Team Develops Stretchable Microelectrodes Array for Organoid Signal Monitoring
< Photo 1. (From top left) Professor Hyunjoo J. Lee, Dr. Mi-Young Son, Dr. Mi-Ok Lee(In the front row from left) Doctoral student Kiup Kim, Doctoral student Youngsun Lee > On January 14th, the KAIST research team led by Professor Hyunjoo J. Lee from the School of Electrical Engineering in collaboration with Dr. Mi-Young Son and Dr. Mi-Ok Lee at Korea Research Institute of Bioscience and Biotechnology (KRIBB) announced the development of a highly stretchable microelectrode array (sMEA)
2025-01-14 -
research KAIST Develops CamBio - a New Biotemplating Method
- Professor Jae-Byum Chang and Professor Yeon Sik Jung’s joint research team of the Department of Materials Science and Engineering developed a highly tunable bio-templating method “CamBio” that makes use of intracellular protein structures - Substrate performance improvement of up to 230% demonstrated via surface-enhanced Raman spectroscopy (SERS) - Expected to have price competitiveness over bio-templating method as it expands the range of biological samples - Expected to
2025-01-10