A new mapping system developed by Alliance Bioversity International and CIAT aims to tackle farm mislabeling in the coffee and cacao industries, safeguarding supply chains and consumer trust. Farm mislabeling, where the origin or type of produce is falsely claimed, has historically led to economic losses for genuine farmers and undermined fair trade practices.

A new global dataset released by the HeiGIT (Heidelberg Institute for Geoinformation Technology) makes it possible to distinguish between paved and unpaved roads worldwide with unprecedented consistency. Derived from high-resolution satellite imagery, the data enable more reliable routing, accessibility mapping, and tracking of infrastructure change over time, particularly in regions where on-the-ground information is scarce. Building on HeiGIT’s earlier dataset based on Mapillary and OpenStreetMap, the new release offers a systematic view of infrastructure change that is independent of local data availability.

A new report from University of Warwick finds communities across the UK feel left out of the benefits of public sector artificial intelligence – calling for more public participation in AI policy.

In two newly published studies, researchers at the Department of Ethology, Eötvös Loránd University (Hungary) investigated how family dogs’ ADHD-like traits relate to their learning and self-control. Dogs resemble humans in many ways — even traits similar to human Attention-Deficit/Hyperactivity Disorder (ADHD) can naturally appear in them and can be assessed through validated questionnaires developed by the research group. Their recent findings not only highlight parallels between dog and human behaviour but also offer practical insights for dog training.

Scientists developed an automated, high-throughput system that relies on imaging biofluid droplets for disease diagnosis, reducing the number of consumables and equipment needed for biomedical testing. In the workflow, images of a drying droplet are analyzed by machine-learning algorithms to diagnose abnormalities in blood. Differences in the drying process of biofluid droplets are used to distinguish between normal and disease samples. This technology can also be used with other bodily fluids, including saliva and urine, and may provide a fast, cost-efficient diagnostic testing means in underserved communities and developing countries.

An AI tool that can analyse abnormalities in the shape and form of blood cells, and with greater accuracy and reliability than human experts, could change the way conditions such as leukaemia are diagnosed.