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.

In August 2024, the World Health Organization declared a second “Public Health Emergency of International Concern” for mpox. The current outbreak in Africa is driven mainly by the clade I variant, with multiple countries reporting their first-ever mpox cases of this more severe strain. Nagoya University researchers and their collaborators have found that measuring the amount of virus in the blood when skin lesions first appear can help predict whether patients will experience mild or severe progression of the disease. The study analyzes viral loads during early infection to predict how sick patients will get, potentially improving treatment strategies for future outbreaks. 

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.

Unprecedented experiment reproduces phase transition in system with short-range interactions, challenging traditional predictions of physics

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.

The strength of certain neural connections can predict how well someone can learn math, and mild electrically stimulating these networks can boost learning, according to a study published on July 1^st in the open-access journal PLOS Biology by Roi Cohen Kadosh from University of Surrey, United Kingdom, and colleagues.