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Categories: Ecology: Trees, Mathematics: Modeling
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 Teaching a computer to type like a human



A new typing model simulates the typing process instead of just predicting words.
Published When thoughts flow in one direction



Contrary to previous assumptions, nerve cells in the human neocortex are wired differently than in mice. The study found that human neurons communicate in one direction, while in mice, signals tend to flow in loops. This increases the efficiency and capacity of the human brain to process information. These discoveries could further the development of artificial neural networks.
Published Tropical forests can't recover naturally without fruit-eating birds



Natural forest regeneration is hailed as a cost-effective way to restore biodiversity and sequester carbon. However, the fragmentation of tropical forests has restricted the movement of large birds limiting their capacity to disperse seeds and restore healthy forests.
Published A faster, better way to prevent an AI chatbot from giving toxic responses



A new technique can more effectively perform a safety check on an AI chatbot. Researchers enabled their model to prompt a chatbot to generate toxic responses, which are used to prevent the chatbot from giving hateful or harmful answers when deployed.
Published Novel robust-optimal controllers based on fuzzy descriptor system



The Takagi--Sugeno (T--S) fuzzy descriptor system offers a promising avenue for controlling non-linear systems but lacks optimal control strategies. Moreover, while robust control methods have been developed, they add additional complexity. To address these limitations, a team of researchers has developed novel optimal and robust-optimal controllers based on the T--S fuzzy descriptor model, holding great potential for enhanced autonomous systems.
Published Integrated dataset enables genes-to-ecosystems research



A new dataset bridging molecular information about the poplar tree microbiome to ecosystem-level processes has been released. The project aims to inform research regarding how natural systems function, their vulnerability to a changing climate, and ultimately how plants might be engineered for better performance as sources of bioenergy and natural carbon storage.
Published Can language models read the genome? This one decoded mRNA to make better vaccines



Researchers developed a foundational language model to decode mRNA sequences and optimize those sequences for vaccine development. The tool shows broader promise as a means for studying molecular biology.
Published Tracing the largest solar storm in modern times from tree rings in Lapland



A research group was able to measure a spike in radiocarbon concentration of trees in Lapland that occurred after the Carrington flare. This discovery helps to prepare for dangerous solar storms.
Published New sunflower family tree reveals multiple origins of flower symmetry



A new sunflower family tree used skimmed genomes to increase the number of species sampled, revealing that flower symmetry evolved multiple times independently, a process called convergent evolution, among the members of this large plant family.
Published Computer scientists show the way: AI models need not be SO power hungry



The development of AI models is an overlooked climate culprit. Computer scientists have created a recipe book for designing AI models that use much less energy without compromising performance. They argue that a model's energy consumption and carbon footprint should be a fixed criterion when designing and training AI models.
Published The math problem that took nearly a century to solve: Secret to Ramsey numbers



Little progress had been made in solving Ramsey problems since the 1930s. Now, researchers have found the answer to r(4,t), a longstanding Ramsey problem that has perplexed the math world for decades.
Published Older trees help to protect an endangered species



The oldest trees in the forest help to prevent the disappearance of endangered species in the natural environment, according to a new study. This is the case of the wolf lichen -- threatened throughout Europe --, which now finds refuge in the oldest trees in the high mountains of the Pyrenees. This study reveals for the first time the decisive role of the oldest trees in the conservation of other living beings thanks to their characteristic and unique physiology.
Published We've had bird evolution all wrong



Genomic anamolies dating back to the time of the dinosaurs misled scientists about the evolutionary history of birds.
Published Computational tools fuel reconstruction of new and improved bird family tree



Using cutting-edge computational methods and supercomputing infrastructure, researchers have built the largest and most detailed bird family tree to date -- an intricate chart delineating 93 million years of evolutionary relationships between 363 bird species, representing 92% of all bird families. The updated tree reveals sharp increases in effective population size, substitution rates and relative brain size in early birds in the aftermath of the mass extinction event that wiped out the dinosaurs 66 million years ago. And by closely examining one of the branches of this tree, researchers found that flamingos and doves are more distantly related than previous genome-wide analyses had shown.
Published Physics-based predictive tool will speed up battery and superconductor research



Researchers have developed physics-based guidelines that will benefit host-guest intercalated materials research. By using only two guest properties and eight host-derived descriptors, they correctly predicted the intercalation energies and stabilities of many host-guest systems. This work is an important advance that will minimize the extensive trial-and-error laboratory work that otherwise slows down research and development in battery and superconductor technologies.
Published Artificial intelligence boosts super-resolution microscopy



Generative artificial intelligence (AI) might be best known from text or image-creating applications like ChatGPT or Stable Diffusion. But its usefulness beyond that is being shown in more and more different scientific fields.
Published Combination of the climate crisis and continued deforestation may result in significant damage to the animal world



A new study states that the combination of global warming and extreme heat events, alongside the continued expansion of deforestation in the world, may be devastating for many species of animals, especially those that know how to climb trees. As part of the study, the researchers focused on lizards and showed that following the effects of climate change, they will seek refuge from the hot ground by spending a lot of time on trees. However, due to human-related activities, such as deforestation, urbanization and the expansion of agricultural lands at the expense of natural lands, the availability of trees in the areas where the lizards live will decrease, and this may lead to the collapse of many populations.
Published Researchers find energy development and tree encroachment impact Wyoming pronghorn



While Wyoming is home to some of North America's most abundant populations of pronghorn that have largely been stable in recent years, a new analysis shows that many herds are experiencing long-term declines in fawn production.