New cutting-edge research, led by Academy Professor Otso Ovaskainen of the University of Jyväskylä and David Dunson at Duke University, combines citizen bird observations with artificial intelligence and the computing power of supercomputers at CSC – IT Center for Science. The international and multidisciplinary research team has developed the world’s most accurate prediction model, capable of anticipating even small shifts in bird occurrence almost in real time. 

Scientists have introduced the first absolute, contactless thermometry technique based on Brillouin scattering in gases, enabling high-accuracy temperature measurements from room temperature down to deep cryogenic levels. By filling hollow-core fibres with gases such as neon, argon, or helium, the method retrieves temperature directly from the Brillouin frequency shift via the interaction between laser light and acoustic waves, eliminating the need for calibration. The results pave the way for ultra-precise, minimally invasive thermometry in extreme environments.

For the first time, researchers have experimentally discovered optical meron-antimeron pairs—a novel class of topological quasiparticles that were originally conceived in particle physics and later found in magnets, but had never been realized in optics. By employing group representation theory, the team not only generated these states in deep-subwavelength plasmonic systems but also established a complete symmetry classification that dictates their topological invariants. This framework reveals a fundamental chirality-parity locking effect and enables the creation of isolated merons. Harnessing the robustness of these symmetry-protected states, the work demonstrates an ultra-sensitive sensing application with a record λ/133 resolution, bridging abstract theory to practical photonic technology.

Researchers from the Faculty of Engineering at The University of Hong Kong (HKU) have developed two innovative deep-learning algorithms, ClairS-TO and Clair3-RNA, that significantly advance genetic mutation detection in cancer diagnostics and RNA-based genomic studies.

Talking to oneself is a trait which feels inherently human - but it’s not just humans who can reap the benefits of such self-talk. Published in Neural Computation, scientists from the Okinawa Institute of Science and Technology (OIST) have demonstrated the potential of inner speech to improve AI learning, showing how AI models can generalize across different tasks more easily when supported by both inner speech and short-term memory.

At the invitation of Texas-based Cumbre Media, Elsa Pérez, assistant professor in Utah State University's Department of World Languages and Cultures and co-director of the translation and interpretation studies degree program, teamed with USU biologist Justin Jones, director of USU’s Spider Silk Laboratory, to create an engaging Spanish-language episode about hagfish to the Camaléon podcast series. Geared to children ages three to 10, Camaléon features 20-minute podcasts about animals around the world.