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Categories: Geoscience: Oceanography, Mathematics: Modeling
Published Diatom surprise could rewrite the global carbon cycle
(via sciencedaily.com) Original source When it comes to diatoms that live in the ocean, new research suggests that photosynthesis is not the only strategy for accumulating carbon. Instead, these single-celled plankton are also building biomass by feeding directly on organic carbon in wide swaths of the ocean. These new findings could lead to reduced estimates regarding how much carbon dioxide diatoms pull out of the air via photosynthesis, which in turn, could alter our understanding of the global carbon cycle, which is especially relevant given the changing climate.
Published How to assess a general-purpose AI model's reliability before it's deployed
(via sciencedaily.com) Original source 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 Microplastic pollution increases sea foam height and stability
(via sciencedaily.com) Original source Researchers examine the specific impacts of microplastics on the geophysics of sea foam formation in the critical zone where water meets air in the top layer of the ocean. They devised two simulations for their work -- a column filled with sea water injected with air and a laboratory-scale breaking wave channel to test the impacts of wave height on sea foam in the surface microlayer -- and tested their effects on sea foam formation, stability, and duration.
Published A new neural network makes decisions like a human would
(via sciencedaily.com) Original source 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 When to trust an AI model
(via sciencedaily.com) Original source 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 High and low tide cause low and high methane fluxes
(via sciencedaily.com) Original source Methane, a strong greenhouse gas that naturally escapes from the bottom of the North Sea, is affected by the pressure of high or low tide. Methane emissions from the seafloor can be just easily three times as much or as little, depending on the tide, according to a new study.
Published Artificial intelligence speeds up heart scans, saving doctors' time, and could lead to better treatment for heart conditions
(via sciencedaily.com) Original source 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 Scientists call for 'major initiative' to study whether geoengineering should be used on glaciers
(via sciencedaily.com) Original source Scientists have released a landmark report on glacial geoengineering -- an emerging field studying whether technology could halt the melting of glaciers and ice sheets as climate change progresses.
Published Researchers customize AI tools for digital pathology
(via sciencedaily.com) Original source 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 The Gulf Stream is wind-powered and could weaken from climate change
(via sciencedaily.com) Original source New evidence of changes to the Gulf Stream during the last ice age could indicate additional sensitivity to future climatic changes, finds a new study.
Published Researchers introduce generative AI for databases
(via sciencedaily.com) Original source 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 Whale remains tracked to highlight sustainable disposal benefits
(via sciencedaily.com) Original source A new study highlights the sustainable, cultural and ecosystem benefits of offshore removal or decomposition of whale remains. The study tracked the remains of a humpback whale that was intercepted before washing up on the shoreline, then repositioned 30km offshore and fitted with a satellite tag that tracked its position as it drifted with the wind and currents for 6 days before falling to the seabed.
Published Groundbreaking study reveals oceanic seabirds chase tropical cyclones
(via sciencedaily.com) Original source A new study reveals that the rare Desertas Petrels (Pterodroma deserta), a wide-ranging seabird in the North Atlantic, exhibit unique foraging behaviors during hurricane season. Contrary to other pelagic seabirds, these petrels do not avoid intense tropical cyclones but instead exploit the dynamic conditions for their benefit, providing new insights into the impact of cyclones on open ocean marine life.
Published Innovative, highly accurate AI model can estimate lung function just by using chest x-rays
(via sciencedaily.com) Original source 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 Weaker ocean circulation could enhance carbon dioxide buildup in the atmosphere, study finds
(via sciencedaily.com) Original source Scientists may have to rethink the relationship between the ocean's circulation and its long-term capacity to store carbon, new research suggests. As the ocean gets weaker, it could release more carbon from the deep ocean into the atmosphere -- rather than less, as some have predicted.
Published The dawn of the Antarctic ice sheets
(via sciencedaily.com) Original source In recent years global warming has left its mark on the Antarctic ice sheets. The 'eternal' ice in Antarctica is melting faster than previously assumed, particularly in West Antarctica more than East Antarctica. The root for this could lie in its formation, as an international research team has now discovered: sediment samples from drill cores combined with complex climate and ice-sheet modelling show that permanent glaciation of Antarctica began around 34 million years ago -- but did not encompass the entire continent as previously assumed, but rather was confined to the eastern region of the continent (East Antarctica).
Published Deep machine-learning speeds assessment of fruit fly heart aging and disease, a model for human disease
(via sciencedaily.com) Original source 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 Retreating glaciers: Fungi enhance carbon storage in young Arctic soils
(via sciencedaily.com) Original source Melting Arctic glaciers are in rapid recession, and microscopic pioneers colonize the new exposed landscapes. Researchers revealed that yeasts play an important role in soil formation in the Arctic.
Published Machine learning could aid efforts to answer long-standing astrophysical questions
(via sciencedaily.com) Original source 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.
Published Moving beyond the 80-year-old solar cell equation
(via sciencedaily.com) Original source Physicists have made a significant breakthrough in solar cell technology by developing a new analytical model that improves the understanding and efficiency of thin-film photovoltaic (PV) devices.