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Categories: Ecology: Trees, Mathematics: Modeling
Published Century of statistical ecology reviewed



A special review examines highly-cited papers in statistical ecology. The review, which covers a century of research, details how models and concepts have evolved alongside increasing computational power.
Published New work extends the thermodynamic theory of computation



Physicists and computer scientists have recently expanded the modern theory of the thermodynamics of computation. By combining approaches from statistical physics and computer science, the researchers introduce mathematical equations that reveal the minimum and maximum predicted energy cost of computational processes that depend on randomness, which is a powerful tool in modern computers.
Published New machine learning algorithm promises advances in computing



Systems controlled by next-generation computing algorithms could give rise to better and more efficient machine learning products, a new study suggests.
Published AI advancements make the leap into 3D pathology possible



Researchers present Tripath: new, deep learning models that can use 3D pathology datasets to make clinical outcome predictions. The research team imaged curated prostate cancer specimens, using two 3D high-resolution imaging techniques. The models were then trained to predict prostate cancer recurrence risk on volumetric human tissue biopsies. By comprehensively capturing 3D morphologies from the entire tissue volume, Tripath performed better than pathologists and outperformed deep learning models that rely on 2D morphology and thin tissue slices.
Published Saturated soils could impact survival of young trees planted to address climate change



New research has looked into the potential effects of increased rainfall in regions being earmarked for expansion of temperate rainforests. Amid global calls for more trees to be planted as part of efforts to combat climate change, this study highlights the importance of factoring in soil conditions when looking at where and how to create the temperate rainforests of the future.
Published An AI leap into chemical synthesis



Scientists introduce a large language model-based AI system that revolutionizes chemistry by integrating 18 advanced tools for tasks like organic synthesis and drug discovery.
Published Emergency department packed to the gills? Someday, AI may help



Emergency departments nationwide are overcrowded and overtaxed, but a new study suggests artificial intelligence (AI) could one day help prioritize which patients need treatment most urgently.
Published Researchers use foundation models to discover new cancer imaging biomarkers



Researchers have harnessed the technology behind foundation models, which power tools like ChatGPT, to discover new cancer imaging biomarkers that could transform how patterns are identified from radiological images. Improved identification of such patterns can greatly impact the early detection and treatment of cancer.
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 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 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 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 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 Hurricanes jeopardize carbon-storing New England forests



Many American companies are relying on carbon offsets to reduce their carbon footprint, especially those who have pledged to achieve 'net-zero emissions.' Sequestering carbon in forests is an example of a nature-based solution that is being used to address climate change, but a new study suggests that hurricanes could pose a risk. The results show that a single hurricane may wipe out 5% to 10% of total above-ground forest carbon, through tree damage, in New England.
Published Diversity and productivity go branch-in-branch



Researchers found that forests with higher trait diversity not only adapt better to climate change but may also thrive. The study unveiled how tree functional trait diversity plays a pivotal role in mitigating climate warming. In the face of environmental stress, these diverse trees have been shown to maintain higher productivity levels, in contrast to monoculture forests.
Published World's chocolate supply threatened by devastating virus



A rapidly spreading virus threatens the health of the cacao tree and the dried seeds from which chocolate is made, jeopardizing the global supply of the world's most popular treat. Researchers have developed a new strategy: using mathematical data to determine how far apart farmers can plant vaccinated trees to prevent mealybugs from jumping from one tree to another and spreading the virus.
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.