Researchers at Bielefeld University are investigating how fans of different national teams physically respond to match events during the 2026 FIFA World Cup. A previous study of the 2025 DFB Cup final demonstrated for the first time a direct link between match action and vital functions such as heart rate and stress levels in supporters. The project is conducted in cooperation with Bielefeld’s Wissenswerkstadt [Knowledge Hub].

By studying the recurrent associations between the images, Intxaurbe identified the hierarchical structural patterns followed by prehistoric drawings. Bison, horses and goats appear in the centre of the compositions, and the rest of the animals are distributed around them. The horses are depicted facing the right, and the other animals, in general, facing the left.  Although the reasons for this are unknown, the study shows that images correspond to a specific internal organisation.

Researchers at the Faculty of Information Technology at the University of Jyväskylä have used artificial intelligence to speed up the analysis of colorectal cancer samples and predict the functioning of the cells’ DNA repair mechanism. The AI model's analysis can help shorten diagnosis times, reduce costs, and improve the analysis's accuracy. The research was conducted in collaboration with the Central Finland Welfare Region and is co-funded by the European Union.

As a growing share of total power output comes from wind turbines, sudden spikes in power generation from unpredictable changes in atmospheric conditions is becoming an increasingly urgent and potentially dangerous threat to grid stability. Using a 20 km-wide wind farm as a giant physics experiment, researchers have now developed a framework to predict the risk of power fluctuations for individual turbines, farms, and the whole grid, based on existing geospatial data. Their model will help establish the risk profile of existing and future developments, providing a powerful tool to ensure reliable and sustainable power generation for plant operators, grid engineers, and energy planners.

Researchers from The University of Osaka and collaborators proposed the Insect Synergy Circuit (ISC), a new concept for bio-hybrid control that uses AI to interpret internal biological signals from insects. By integrating heartbeat, neural signal features, and body movement data, the team developed a cyborg cockroach system that can estimate environment-associated internal states and guide movement while reducing unnecessary stimulation.

Scientists at the University of California, Riverside are making breakthroughs in understanding how quantum wave functions move across ultra-thin materials — research that could eventually improve solar energy technologies and help lay the groundwork for new forms of quantum computing.