Enhancing the “feel-good” factor of urban vegetation using AI and street view images
Peer-Reviewed Publication
Updates every hour. Last Updated: 3-Jul-2025 08:10 ET (3-Jul-2025 12:10 GMT/UTC)
Researchers from The University of Osaka have developed a method to visualize and reconstruct individual urban plants in different seasons using AI and street view images. The novel Seasonal Species-Specific Plant View Index allows urban designers to enhance the ecological sustainability and the well-being of city dwellers by incorporating diverse plant configurations, colors, and seasonality into current and future urban green spaces.
Harvard scientists have described a particular movement observed mostly in young, teenaged anacondas, called an S-start. A mathematical model shows that young anacondas, as opposed to babies and adults, exist in a “goldilocks zone” of relative weight and strength to allow them to execute the movement.
Quantum computers still face a major hurdle on their pathway to practical use cases: their limited ability to correct the arising computational errors. To develop truly reliable quantum computers, researchers must be able to simulate quantum computations using conventional computers to verify their correctness – a vital yet extraordinarily difficult task. Now, in a world-first, researchers from Chalmers University of Technology in Sweden, the University of Milan, the University of Granada, and the University of Tokyo have unveiled a method for simulating specific types of error-corrected quantum computations – a significant leap forward in the quest for robust quantum technologies.
New research reveals a surprising geometric link between human and machine learning. A mathematical property called convexity may help explain how brains and algorithms form concepts and make sense of the world.