Yasir Ahmad and Moneeza Baig from the College of Electrical and Mechanical Engineering unpack AI in academia, arguing that it is time to de-learn and re-learn.
Connected areas of high-quality forest running through sustainable palm oil plantations could help support increased levels of biodiversity, new research suggests.
Ranjit Baxi, comments on the link between recycling and climate change, as well as the success of the celebrated Global Recycling Day 2019 on 18th March in cities globally.
In this article, experts highlight developments in Russian precision medicine research and biobanking infrastructure, which boosts national biomedical research.
Here, Jaqueline Zhao and Tim Jackson discuss the new regulations coming into force for China in 2019, after the gene-editing scandal which created international headlines.
Researchers found that the energy efficiency of solar cells and light-sensing tech can be improved by taking advantage of an unusual property caused by deformations and structural defects.
Researchers from the University of York will work with other experts to tackle worsening health inequalities between the North and the rest of England.
A novel sensor designed by MIT researchers could dramatically accelerate the process of diagnosing sepsis, a leading cause of death in U.S. hospitals that kills nearly 250,000 patients annually.
University of Manchester and University of North Texas scientists identify that an embryonic living heart can be programmed to survive a low oxygen environment in later life.
The Technical University of Munich (TUM) have published an initial study into how AI robot therapists could be used in the future to treat mental illness: Here we examine their ethical concerns.
![Figure 1 - The figure illustrates the diversity and multi-scale nature of the structures in the Galaxy. The first two lines are real astronomical images, which go from the galactic disk itself and down to the planet-forming disks. The last two lines are generated from numerical simulations and aim to understand and interpret the observations. [adapted from Facchini et al. 2025, Göller et al. 2025, Hennebelle et al. 2022, Lebreuilly et al. 2024, Molinari et al. 2016, 2025, Reissl et al. 2016]](https://www.openaccessgovernment.org/wp-content/uploads/2025/08/figure.png)
