KAIST identifies cause of artifacts in battery nanoscale analysis, paving the way for more reliable measurements
Peer-Reviewed Publication
This month, we’re focusing on artificial intelligence (AI), a topic that continues to capture attention everywhere. Here, you’ll find the latest research news, insights, and discoveries shaping how AI is being developed and used across the world.
Updates every hour. Last Updated: 3-Nov-2026 08:16 ET (3-Nov-2026 13:16 GMT/UTC)
- A research team led by Professors Seungbum Hong and Jong Min Yuk from the Department of Materials Science and Engineering and Professor Nam-Soon Choi from the Department of Chemical and Biomolecular Engineering has identified the cause of a measurement artifact in nanoscale battery analysis that can make surface topography appear to represent ion movement.
- The team has developed a method to reduce these artificial signals by smoothing rough battery-material surfaces, potentially improving the accuracy of analyses for next-generation batteries, including conventional lithium-ion batteries and emerging technologies such as sodium-ion and solid-state batteries.
In a third of cases, AI chatbots wrongly reassure sleep apnoea patients that their symptoms are not serious, discouraging them from seeking a referral to a specialist, according to research presented at the European Respiratory Society (ERS) Congress in Barcelona, Spain.
Chronic obstructive pulmonary disease (COPD) is a serious, incurable lung disease that is common in older people. However, researchers are learning that the origins of the disease may lie decades earlier in how children’s lungs grow and develop. New research, presented at the European Respiratory Society Congress in Barcelona, Spain, suggests that babies born with higher genetic risk for COPD showed reduced lung function growth between birth and six years, which could place them on a path to developing the disease. However, researchers only saw this pattern in children who were exposed to higher levels of air pollution.
(Toronto, Sept 4, 2026) — JMIR Publications released three feature News and Perspectives articles this week, covering an emerging application of drone delivery, the implications of AI tools used in early education, the nascent field of cancer neurotech, and the future of consumer wearable devices.