In a paper published in National Science Review, a research team proposed a highly sensitive soft smart contact lens, establishing an eye-machine interaction (EMI) system for controlling external coded objects. The lens demonstrates excellent biocompatibility, and its feasibility for practical applications has been successfully validated through drone flight control experiments.

Researchers at the College of Design and Engineering at the National University of Singapore (NUS) Urban Analytics Lab have developed an open-source AI model that maps carbon emissions from individual buildings using only publicly available data. Applied to more than 500,000 buildings across five global cities (Singapore, New York, Melbourne, Seattle and Washington DC) the model accurately identifies emission hotspots and reveals how a city’s planning history, building density, and income levels shape urban carbon footprints. The tool, which uses satellite imagery, street views, and other open geospatial data, aims to help cities design more targeted and equitable climate policies.