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Categories: Environmental: Biodiversity, Mathematics: Modeling

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Systems controlled by next-generation computing algorithms could give rise to better and more efficient machine learning products, a new study suggests.

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Despite its benefits and recognition as a keystone practice of ocean stewardship and conservation, adoption of ecosystem-based management has been slow to take hold. To support this change in ocean management, a group of researchers and practitioners investigated the global progress of marine EBM initiatives.

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An international collaboration says the world's largest marine protected areas aren't collectively delivering the biodiversity benefits they could be because of slow implementation of management strategies and a failure to restrict the most impactful human activities.

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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.

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After a century of functional extinction on the Australian mainland, a Flat oyster reef has been successfully restored along a metropolitan Adelaide coastline.

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Scientists have confirmed the identity of an unusual, ancient and Endangered species of fish that is living in the coastal rivers of Queensland, about 1400 km north of where it was previously known to live.

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How do city residents feel about animals in their immediate surroundings? A recent study shows how different the acceptance of various wild animals in urban areas is. Important factors are the places where the animals are found and their level of popularity -- squirrels and ladybugs come out on top here. The results have important implications for urban planning and nature conservation.

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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.

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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.

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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.

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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.

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To preserve the important intertidal areas and salt marshes off our coasts for the future, we need more turbid water. That is one of the striking conclusions from a new study.

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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.

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Scientists have developed lubricant additives that protect both water turbine equipment and the surrounding environment.

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The global demand for palm oil -- the most widely consumed vegetable oil on the planet, in everything from instant noodles to lipstick -- is driving worldwide tropical deforestation. While many studies have shown the loss of biodiversity when rainforests are converted to oil palm plantations, researchers have now shown the far-reaching and wide-ranging disturbances to the watersheds in which such plantations occur.

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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.

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The alarming rates of biodiversity loss worldwide have made clear that the classical way of governing biodiversity recovery based on protected areas and programs for the protection of endangered species is not enough. To tackle this, almost 200 countries committed to the active 'mainstreaming' or integration of biodiversity targets into policies and plans across relevant sectors. However, research suggests that this has until now been largely ineffective due to non-binding commitments, vaguely formulated targets, 'add-on' biodiversity initiatives, and too few resources. 'Top down regulation is also needed,' say the authors.

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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.

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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.

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A team of researchers has investigated the motivation and potential incentives for and challenges of low-intensity grazing among farmers and land users in Europe.