people
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!
-
research Answering Calls for Help Even at Dawn: an AI TA makes a Successful Debut at KAIST
- Research team of Professor Yoonjae Choi of Kim Jaechul Graduate School of AI and Professor Hwajung Hong of the Department of Industrial Design, development of AI assistant (VTA) that helps with operation and learning in lectures for 477 students - Responds to students’ questions about theory and practice 24 hours a day by referring to class slides, coding practice materials, and lecture videos - Releases the system’s source code to support the development of customized learning a
2025-06-05 -
research KAIST Research Team Develops Electronic Ink for Room-Temperature Printing of High-Resolution, Variable-Stiffness Electronics
A team of researchers from KAIST and Seoul National University has developed a groundbreaking electronic ink that enables room-temperature printing of variable-stiffness circuits capable of switching between rigid and soft modes. This advancement marks a significant leap toward next-generation wearable, implantable, and robotic devices. < Photo 1. (From left) Professor Jae-Woong Jeong and PhD candidate Simok Lee of the School of Electrical Engineering, (in separate bubbles, from left) Pr
2025-06-04 -
research RAIBO Runs over Walls with Feline Agility... Ready for Effortless Search over Mountaineous and Rough Terrains
< Photo 1. Research Team Photo (Professor Jemin Hwangbo, second from right in the front row) > KAIST's quadrupedal robot, RAIBO, can now move at high speed across discontinuous and complex terrains such as stairs, gaps, walls, and debris. It has demonstrated its ability to run on vertical walls, leap over 1.3-meter-wide gaps, sprint at approximately 14.4 km/h over stepping stones, and move quickly and nimbly on terrain combining 30° slopes, stairs, and stepping stones. RaiBo is ex
2025-06-04 -
research Professor Hyun Myung's Team Wins Challenge at ICRA by IEEE
< Photo 1. (From left) Daebeom Kim (Team Leader, Ph.D. student), Seungjae Lee (Ph.D. student), Seoyeon Jang (Ph.D. student), Jei Gong (Master's student), Professor Hyun Myung > The Urban Robotics Lab team, led by Professor Hyun Myung from the School of Electrical Engineering at our university, achieved a remarkable first-place overall victory in the Nothing Stands Still Challenge (NSS Challenge) 2025, held at the 2025 IEEE International Conference on Robotics and Automation (ICRA), th
2025-05-30 -
research KAIST Develops Virtual Staining Technology for 3D Histopathology
Moving beyond traditional methods of observing thinly sliced and stained cancer tissues, a collaborative international research team led by KAIST has successfully developed a groundbreaking technology. This innovation uses advanced optical techniques combined with an artificial intelligence-based deep learning algorithm to create realistic, virtually stained 3D images of cancer tissue without the need for serial sectioning nor staining. This breakthrough is anticipated to pave the way for next-g
2025-05-26