A research team led by Prof. Yoo at KAIST ITC has developed DynaPlasia, an in-memory computing (IMC) semiconductor that performs artificial intelligence operations by integrating a computing logic directly inside a DRAM memory cell....read more
Prof. Lee’s group, in collaboration with KIST, innovated a lightweight, cost-effective soft robotic gripper capable of securely holding 100kg objects, promising enhanced utility in various domestic and industrial applications....read more
Prof. Jung Kim’s group has developed a 2.5D laser cutting method to accelerate customized sEMG sensor fabrication from design to production. sEMG sensors measure human muscle activity and are widely used in wearable systems for human-machine interaction. In order to use sEMG sensors for a long time in daily life, it is necessary to develop a sensor that can be customized and worn easily and does not affect the signal due to movement. This customizable textile-based sEMG sensor provides high wearing comfort and improves the sensor signal quality through stable contact....read more
Prof. Kang’s group has developed a new toughening strategy for self-healing polymers crosslinked by metal–ligand coordination using mixed counter anion dynamics. This strategy concurrently and significantly enhances their mechanical toughness and self-healing efficiency....read more
Prof. Sang Ouk Kim’s group has developed robust and durable actuator fibers by incorporating 2D graphene fillers in aligned liquid crystal elastomer matrix; these fibers surpass the strength and toughness of human muscle. The reversible percolation of the graphene filler network within the composite structure upon contraction/recovery actuation offers interesting electrical switching behavior, as well as work capacity and power density far beyond those of human or mammalian muscles....read more
A study published by Prof. Hee-Tae Jung’s group on the efficient production of renewable energy through the search for optimal bifunctional multimetallic alloy catalysts has shown promising results. The study used a Pareto active learning framework and carbothermal shock method for nanoparticle synthesis to efficiently determine optimal metallic compositions for bifunctional catalysts of up to four component elements for electrocatalytic reactions. The approach can be extended to different catalytic reaction fields and other multifunctional applications....read more
PIM is an abbreviation of Processing In Memory and is a kind of future semiconductor memory architecture. It makes it possible for memory and logic processing to operate together with higher speed and less energy consumption. In this bulletin, the three major activities of PIM-SDRC and its achievements are briefly introduced. The center will carry out key roles in building a PIM IP hub, making the infrastructure design service and relevant IP business, and training competent design manpower....read more
By recording neuronal activity in the hippocampus during memory recall in freely behaving mice, Prof. Han’s group has identified neural activity pattern correlates of memory recall....read more
AAILab, KAIST has developed various deep generative model structures and inference methods to synthesize realistic images through diffusion processes. ...read more
KAIST researchers have developed MARVEL, a fast and agile quadrupedal robot equipped with an Electro-Permanent Magnet (EPM) and a Magneto-Rheological Elastomer (MRE) foot sole that enables it to climb on steel walls and ceilings for efficient and safe inspection and maintenance tasks in various industrial settings....read more