Welcome to In the Spotlight, where each month we shine a light on something exciting, timely, or simply fascinating from the world of science.
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.
Latest News Releases
Updates every hour. Last Updated: 21-Nov-2025 15:11 ET (21-Nov-2025 20:11 GMT/UTC)
ChatGPT “thought on the fly” when put through Ancient Greek maths puzzle
University of CambridgePeer-Reviewed Publication
- Journal
- International Journal of Mathematical Education in Science and Technology
AI for ecology and conservation: New tools track ecosystem health
Rice UniversityPeer-Reviewed Publication
- Journal
- Methods in Ecology and Evolution
- Funder
- U.S. National Science Foundation, Google, Universidad de Antioquia, Alexander von Humboldt Institute for Research on Biological Resources, U.S. National Science Foundation, Rice University, SGI, Ecopetrol
Trauma and resilience: McGill study explores the enduring effects of sexual violence during the Rwandan genocide against the Tutsi
McGill UniversityPeer-Reviewed Publication
A study led by McGill University researchers offers insights into intergenerational memory and the experiences of children born of conflict-related sexual violence and their mothers in post-genocide Rwanda.
“These children are frequently referred to as ‘children of hate,’ and are often seen as living reminders of the brutality of genocide,” said lead researcher Myriam Denov, a professor at McGill’s School of Social Work and the Canada Research Chair in Children, Families and Armed Conflict. “Yet, what we found was a profound story of empathy, love and resilience.” Denov’s study, published in the Journal of Gender Studies, offers insights into the ways in which these Rwandan mothers and children have sought justice and built relationships with one another despite facing stigma, economic and social discrimination, and violence from their families and communities.
The researchers found that many mothers struggled with feelings of guilt and ambivalence toward their child due to the circumstances of their conception. The mothers also described finding it difficult and painful to talk to their offspring about their experiences of sexual violence. Yet, growing up, their children wanted to know the truth about their birth origins and why they didn’t have a father. When mothers managed to disclose their histories of sexual violence, some found that their bond with their child was stronger as a result. Many of the children showed a deep empathy and compassion toward their mothers.
- Journal
- Journal of Gender Studies
The ‘Big Ideas in Medicine’: Mass General Brigham leaders identify top opportunities to impact health care
Mass General BrighamBusiness Announcement
AI model forecasts disease risk decades in advance
European Molecular Biology LaboratoryPeer-Reviewed Publication
Researchers have developed an AI model that estimates long-term disease risk across more than 1,000 medical conditions
The model, trained and tested on anonymised medical data from the UK and Denmark, can forecast health outcomes over a decade in advance
While not ready for direct clinical use, the AI model offers new ways to study disease and inform healthcare strategies
- Journal
- Nature
Delegation to Artificial Intelligence can increase dishonest behavior
Max Planck Institute for Human DevelopmentPeer-Reviewed Publication
People are increasingly handing decisions over to AI systems. Already, AI manages investment portfolios, screens job candidates, recommends whom to hire and fire, and can fill out tax forms on people’s behalf. While there is a promise of great productivity gains, a new study published in Nature highlights the risk of unethical behavior from delegating decisions to AI. The research, led by the Max Planck Institute for Human Development in Berlin, shows that how we instruct the machine matters, but also that machines are often more willing than humans to carry out fully dishonest instructions.
- Journal
- Nature