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: 3-Nov-2026 13:17 ET (3-Nov-2026 18:17 GMT/UTC)
Mini monitor measures artificial heartbeat
University of TokyoPeer-Reviewed Publication
- Funder
- Australian Research Council, National Health and Medical Research Council, We acknowledge support from NSW’s Non-Animal Technologies Network (NAT NET) for the development of 3D bioengineered tissue models, the Victor Chang Cardiac Research Institute Innovation Centre, funded by the NSW Government., We also acknowledge support from NSW Health/Cardiovascular Research Capacity Program – Senior and Early-Mid Career Researcher Grants (RG242730) funded by the NSW Government, the Cancer Institute NSW Career Development Fellowship (PS66730)., This work was performed in part at the NSW Node of the Australian National Fabrication Facility at the University of New South Wales.
Smart charging: How EVs can cut emissions by charging smarter, not less
Biochar Editorial Office, Shenyang Agricultural UniversityPeer-Reviewed Publication
Electric vehicles (EVs) are crucial for sustainable transport, but their environmental benefit depends heavily on when they charge. Charging during periods when the grid relies on fossil fuels can significantly increase their carbon footprint. New research from Multimedia University reveals that "carbon-aware" charging strategies can unlock substantial emission reductions simply by optimizing charging times.
The study, led by Md Sabbir Hossen and Gobbi Ramasamy from Multimedia University, quantifies the real-world carbon emission reduction potential of smart EV charging. Researchers reconstructed hourly residential charging data and combined it with time-varying grid carbon intensity from the Malaysian Peninsula power system. They then evaluated a reinforcement learning-based carbon-aware smart charging strategy, comparing its performance against both uncontrolled charging and an intelligent but carbon-unaware charging approach, all while delivering identical total energy.
The Power of Carbon Awareness
The findings are compelling: while intelligent charging without carbon awareness failed to reduce total carbon emissions, the carbon-aware strategy achieved a statistically significant reduction of approximately 1.62%. This crucial difference comes from proactively shifting charging demand away from periods when grid electricity is most carbon-intensive. Specifically, evening peak hours were found to be approximately 18% more carbon-intensive than off-peak periods, making targeted load shifting highly effective.
- Journal
- Carbon Research
KAIST identifies hidden age bias in artificial intelligence
The Korea Advanced Institute of Science and Technology (KAIST)Peer-Reviewed Publication
research team led by Professor Moon Choi of the Graduate School of Science and Technology Policy quantitatively analyzed “digital ageism” embedded in generative artificial intelligence.
older adults are outwardly described as “wise and caring,” expressions of agency and competence decrease with age.
biases in AI could, through repeated exposure, deepen the social marginalization and digital exclusion of older adults.
- Funder
- National Research Foundation of Korea
Protecting Gobiocypris rarus: Predicting pollution risks with ML
Maximum Academic PressPeer-Reviewed Publication
A lifecycle framework for digital pathology implementation: Integrating infrastructure, workflow, regulatory compliance, and ai readiness for sustainable adoption
Xia & He Publishing Inc.Peer-Reviewed Publication
- Journal
- Journal of Clinical and Translational Pathology
Aiming for a society that is better for both animals and people through veterinary-engineering collaboration: the “Quality of all lives” project
Okayama University of ScienceBusiness Announcement