Digital twin simulations enable reliable and rapid prediction of ground deformation and collapse, paving a new way to safeguard and decarbonize the built environment under climate change.   Ground is a central element of the built environment. Humans live and travel on the ground, and all infrastructure systems are built on or in the ground. Surprisingly, however, it is extremely difficult to understand&nb...

 Understanding the meaning of pixels is fundamental in building a visual intelligence but often involves costly labeling. This work proposes an AI that can learn any pixel-labeling task using only a few labeled images.    The fundamental of building a visual intelligence is understanding the pixels. Given complex patterns of visual signals such as images, it is important to understand ...

An AI-related art exhibition “AI with Weird Wonderland” aims to foster youth’s critical thinking competency about AI through an informal learning experience, with collaborations from AI developers, designers, and artists.    With the rapid advancement of artificial intelligence (AI) technologies, today's youth are increasingly exposed to AI from an early age, encountering various A...

 A high-performance fiber temperature sensor using thermal drawing process have been developed by KAIST researchers. The sensor demonstrates high performance stability, withstanding 1,000 temperature stimulations, bending stress, and 100 wash cycles. These results show potential for applications in smart clothing in healthcare, VR/AR, metaverse, and IoT.     Researchers at KAIST have successfully...

Atmosphere-breathing electric propulsion (ABEP) is a cutting-edge technique utilized to sustain orbits and extend satellite missions in very low-Earth orbit (VLEO). Evaluating the performance and environmental consequences of ABEP requires employing kinetic and numerical methodologies during its operation.      Recent developments in satellite technology can be characterized by two notable trends:...

A copper current collector with increased structural dimensions and hierarchy is developed for high-performance lithium-metal battery anodes. The new surface enables inward nucleation of lithium, thus enhancing the cycle life of lithium-metal battery by 364%    A research team led by Prof. Sanha Kim in ME department has succeeded in developing an anode current collector for high-performance lithium-...