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.

Low-dimensional (LD) halide perovskites have attracted considerable attention due to their distinctive structures and exceptional optoelectronic properties, including high absorption coefficients, extended charge carrier diffusion lengths, suppressed non-radiative recombination rates, and intense photoluminescence. A key advantage of LD perovskites is the tunability of their optical and electronic properties through the precise optimization of their structural arrangements and dimensionality. This review systematically examines recent progress in the synthesis and optoelectronic characterizations of LD perovskites, focusing on their structural, optical, and photophysical properties that underpin their versatility in diverse applications. The review further summarizes advancements in LD perovskite-based devices, including resistive memory, artificial synapses, photodetectors, light-emitting diodes, and solar cells. Finally, the challenges associated with stability, scalability, and integration, as well as future prospects, are discussed, emphasizing the potential of LD perovskites to drive breakthroughs in device efficiency and industrial applicability.