Breaking new ground in stealth technology: KRISS develops core radar components domestically
Peer-Reviewed Publication
Updates every hour. Last Updated: 19-Nov-2025 00:11 ET (19-Nov-2025 05:11 GMT/UTC)
The Korea Research Institute of Standards and Science (KRISS, President Lee Ho Seong) has successfully localized core Radar Stealth technologies through indigenous development, without reliance on foreign technologies. This achievement is a significant milestone, laying the foundation for the establishment of stealth weapon systems in Korea, which have long been difficult to import due to their classification as national strategic military assets.
Despite improvements in medical and surgical management strategies, brain abscess continues to cause disability and mortality in affected individuals. The long-term predictors of survival in individuals with brain abscess are not well understood. Researchers have now addressed this knowledge gap using a retrospective cohort study based on patients from Thailand. They have identified key predictors of long-term survival in patients and created a dynamic nomogram that can aid individualized prognostication for each patient.
Creating stable isolated spins is crucial for quantum-spin applications, like quantum bits or qubits, sensors, and single-atom catalysts. Currently, most approaches include engineering isolated spins on noble metal surfaces, whose abundant conduction electrons can also disturb their spin state. In a new study, researchers successfully demonstrated for the first time isolated spins on an insulating magnesium oxide film, laid over a ferromagnetic iron substrate, suggesting a new pathway towards realizing qubits using conventional thin-film techniques.
A team of scientists from Korea and Japan has discovered a new type of crystal that can "breathe"—releasing and absorbing oxygen repeatedly at relatively low temperatures. This unique ability could transform the way we develop clean energy technologies, including fuel cells, energy-saving windows, and smart thermal devices.
While large language models (LLMs) have achieved remarkable success through "scaling laws," their power diminishes in complex, data-scarce domains. A new Perspective article in National Science Review by researchers from Peking University argues that the next frontier for AI lies in augmenting the statistical intuition of LLMs with a uniquely human capability: the use of symbols as a cognitive technology to structure and simplify complexity, guiding AI toward genuine discovery.