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Categories: Environmental: Biodiversity, Mathematics: Modeling
Published Nature-based solutions to disaster risk from climate change are cost effective



A new global assessment of scientific literature finds that nature-based solutions (NbS) are an economically effective method to mitigate risks from a range of disasters -- from floods and hurricanes to heatwaves and landslides -- which are only expected to intensify as Earth continues to warm.
Published How to assess a general-purpose AI model's reliability before it's deployed



A new technique estimates the reliability of a self-supervised foundation model, like those that power ChatGPT, without the need to know what task that model will be deployed on later.
Published Local dragonflies expose mercury pollution patterns



A new study has unveiled surprising findings about mercury pollution: where it comes from and how it moves through the environment vary significantly depending on the ecosystem. In drier regions, most mercury is deposited through rain and snow. In wetter, forested areas, gaseous mercury from the air sticks to leaves, which then fall and carry the toxin into the ground.
Published A new neural network makes decisions like a human would



Researchers are training neural networks to make decisions more like humans would. This science of human decision-making is only just being applied to machine learning, but developing a neural network even closer to the actual human brain may make it more reliable, according to the researchers.
Published Loss of oxygen in lakes and oceans a major threat to ecosystems, society, and planet



Oxygen is a fundamental requirement of life, and the loss of oxygen in water, referred to as aquatic deoxygenation, is a threat to life at all levels. In fact, researchers describe how ongoing deoxygenation presents a major threat to the stability of the planet as a whole.
Published Study examines urban forests across the United States



Tree-planting campaigns have been underway in the United States, especially in cities, as part of climate mitigation efforts given the many environmental benefits of urban forests. But a new study finds that some areas within urban forests in the U.S., may be more capable than trees growing around city home lawns in adapting to a warmer climate.
Published When to trust an AI model



A new technique enables huge machine-learning models to efficiently generate more accurate quantifications of their uncertainty about certain predictions. This could help practitioners determine whether to trust the model when it is deployed in real-world settings.
Published Unprecedented warming threatens Earth's lakes and their ecosystems



Lakes, with their rich biodiversity and important ecological services, face a concerning trend: rapidly increasing temperatures. A recent study by limnologists and climate modelers reveals that if current anthropogenic warming continues until the end of this century, lakes worldwide will likely experience pervasive and unprecedented surface and subsurface warming, far outside the range of what they have encountered before.
Published Artificial intelligence speeds up heart scans, saving doctors' time, and could lead to better treatment for heart conditions



Researchers have developed a groundbreaking method for analysing heart MRI scans with the help of artificial intelligence, which could save valuable time and resources, as well as improve care for patients.
Published Mapping the world's fungi from air samples



Researchers have found that the key to a quick and cost-effective mapping of biodiversity has been right in front of our eyes all along, but at the same time invisible -- i.e., in the air that surrounds us.
Published Researchers customize AI tools for digital pathology



Scientists developed and tested new artificial intelligence (AI) tools tailored to digital pathology--a rapidly growing field that uses high-resolution digital images created from tissue samples to help diagnose disease and guide treatment.
Published Researchers introduce generative AI for databases



Researchers have developed an easy-to-use tool that enables someone to perform complicated statistical analyses on tabular data using just a few keystrokes. Their method combines probabilistic AI models with the programming language SQL to provide faster and more accurate results than other methods.
Published Global database reveals large gaps in our knowledge of four-footed animals



Researchers developed TetrapodTraits -- a global database of animals with four feet -- which can now be applied for better ecology, evolution and conservation research.
Published First local extinction in the US due to sea level rise, study suggests



The United States has lost its only stand of the massive Key Largo tree cactus in what researchers believe is the first local extinction of a species caused by sea level rise in the country.
Published Study reveals environmental impact of artificial sweeteners



A recently published study demonstrates how sucralose affects the behavior of cyanobacteria -- an aquatic photosynthetic bacteria -- and diatoms, microscopic algae that account for more than 30% of the primary food production in the marine food chain.
Published Restored oyster sanctuaries host more marine life



Oysters sanctuaries in Chesapeake Bay are working for more than just oysters. Compared to nearby harvest areas, sanctuaries contain more abundant populations of oysters and other animal life--and the presence of two common parasites isn't preventing that.
Published Innovative, highly accurate AI model can estimate lung function just by using chest x-rays



An artificial intelligence (AI) model that can estimate with high accuracy a person's lung function just by using a chest radiograph has been successfully developed.
Published Why the U.S. food system needs agroecology



Agroecology -- a science, practice, and movement which seeks social, political, economic, and environmental sustainability in the global food system -- is gaining momentum in the U.S., according to a new article.
Published Deep machine-learning speeds assessment of fruit fly heart aging and disease, a model for human disease



Drosophila -- known as fruit flies -- are a valuable model for human heart pathophysiology, including cardiac aging and cardiomyopathy. However, a choke point in evaluating fruit fly hearts is the need for human intervention to measure the heart at moments of its largest expansion or its greatest contraction to calculate cardiac dynamics. Researchers now show a way to significantly cut the time needed for that analysis while utilizing more of the heart region, using deep learning and high-speed video microscopy.
Published Machine learning could aid efforts to answer long-standing astrophysical questions



Physicists have developed a computer program incorporating machine learning that could help identify blobs of plasma in outer space known as plasmoids. In a novel twist, the program has been trained using simulated data.