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Categories: Ecology: Extinction, Mathematics: Modeling
Published Why getting in touch with our 'gerbil brain' could help machines listen better



Researchers have debunked a 75-year-old theory about how humans determine where sounds are coming from, and it could unlock the secret to creating a next generation of more adaptable and efficient hearing devices ranging from hearing aids to smartphones.
Published Stony coral tissue loss disease is shifting the ecological balance of Caribbean reefs



A new study shows stony coral tissue loss disease is causing drastic changes in the Caribbean's population of corals, which is sure to disrupt the delicate balance of the ecosystem and threaten marine biodiversity and coastal economies.
Published Toxic chemicals can be detected with new AI method



Researchers have developed an AI method that improves the identification of toxic chemicals -- based solely on knowledge of the molecular structure. The method can contribute to better control and understanding of the ever-growing number of chemicals used in society, and can also help reduce the amount of animal tests.
Published Feathers, cognition and global consumerism in colonial Amazonia



Amazonia is the home of the largest variety of birds in the world. In such a unique environment, craft cultures have flourished by translating the beauty and creativity of environmental materials like feathers into stunning pieces of art. A new article examines artisanal featherwork within the context of early modern colonialism and globalization.
Published New computer algorithm supercharges climate models and could lead to better predictions of future climate change



A study describes a new computer algorithm which can be applied to Earth System Models to drastically reduce the time needed to prepare these in order to make accurate predictions of future climate change. During tests on models used in IPCC simulations, the algorithm was on average 10 times faster at spinning up the model than currently-used approaches, reducing the time taken to achieve equilibrium from many months to under a week.
Published Improved AI process could better predict water supplies



A new computer model uses a better artificial intelligence process to measure snow and water availability more accurately across vast distances in the West, information that could someday be used to better predict water availability for farmers and others. The researchers predict water availability from areas in the West where snow amounts aren't being physically measured.
Published Missing link in species conservation: Pharmacists, chemists could turn tide on plant, animal extinction



As the world faces the loss of a staggering number of species of animals and plants to endangerment and extinction, one scientist has an urgent message: Chemists and pharmacists should be key players in species conservation efforts.
Published Protecting endangered monkeys from poachers, habitat loss



The 17 species of red colobus monkey living across Africa, including in the Tai Project field station region, have been singled out by scientists as a priority conservation target. Protection of these monkeys, they assert, can be expected to produce benefits throughout tropical African forests where hunting and climate change have led to dramatic wildlife and habitat loss.
Published T. Rex not as smart as previously claimed



Dinosaurs were likely as smart as reptiles but not as intelligent as monkeys.
Published From disorder to order: Flocking birds and 'spinning' particles



Researchers have demonstrated that ferromagnetism, an ordered state of atoms, can be induced by increasing particle motility and that repulsive forces between atoms are sufficient to maintain it. The discovery not only extends the concept of active matter to quantum systems but also contributes to the development of novel technologies that rely on the magnetic properties of particles, such as magnetic memory and quantum computing.
Published AI deciphers new gene regulatory code in plants and makes accurate predictions for newly sequenced genomes



Elucidating the relationship between the sequences of non-coding regulatory elements and their target genes is key to understanding gene regulation and its variation between plant species and ecotypes. Now, an international research team developed deep learning models that link gene sequence data with mRNA copy number for several plant species and predicted the regulatory effect of gene sequence variation.
Published Deer are expanding north, and that's not good for caribou



In the boreal forest of Western Canada, researchers have considered that both changing climate and increased habitat alteration have enabled deer to push farther north.
Published Artificial intelligence can develop treatments to prevent 'superbugs'



Cleveland Clinic researchers developed an artficial intelligence (AI) model that can determine the best combination and timeline to use when prescribing drugs to treat a bacterial infection, based solely on how quickly the bacteria grow given certain perturbations. PNAS recently published their findings.
Published Frog species evolved rapidly in response to road salts



When we think of evolution, we think of a process that happens over hundreds or thousands of years. In research recently published, a species of frog that has evolved over the course of merely 25 years. The adaptation was spurred on by something many assume is innocuous: salt.
Published AI tool creates 'synthetic' images of cells for enhanced microscopy analysis



Researchers have developed a method to use an image generation AI model to create realistic images of single cells, which are then used as 'synthetic data' to train an AI model to better carry out single-cell segmentation.
Published New sensing checks for 3D printed products could overhaul manufacturing sector



A sensing technology that can assess the quality of components in fields such as aerospace could transform UK industry.
Published Predicting cardiac arrhythmia 30 minutes before it happens



Atrial fibrillation is the most common cardiac arrhythmia worldwide with around 59 million people concerned in 2019. This irregular heartbeat is associated with increased risks of heart failure, dementia and stroke. It constitutes a significant burden to healthcare systems, making its early detection and treatment a major goal. Researchers have recently developed a deep-learning model capable of predicting the transition from a normal cardiac rhythm to atrial fibrillation. It gives early warnings on average 30 minutes before onset, with an accuracy of around 80%. These results pave the way for integration into wearable technologies, allowing early interventions and better patient outcomes.
Published AI weather forecasts captured Ciaran's destructive path



The study highlights the rapid progress and transformative potential of AI in weather prediction.
Published Lemur's lament: When one vulnerable species stalks another



What can be done when one threatened animal kills another? Scientists studying critically endangered lemurs in Madagascar confronted this difficult reality when they witnessed attacks on lemurs by another vulnerable species, a carnivore called a fosa.
Published Teaching a computer to type like a human



A new typing model simulates the typing process instead of just predicting words.