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Categories: Computer Science: General, Environmental: Ecosystems

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Humans may be accelerating the rate at which organic matter decomposes in rivers and streams on a global scale, according to a new study. That could pose a threat to biodiversity in waterways around the world and increase the amount of carbon in Earth's atmosphere, potentially exacerbating climate change. The study is the first to combine a global experiment and predictive modeling to illustrate how human impacts to waterways may contribute to the global climate crisis.

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A great armada entered the North Atlantic, launched from the cold shores of North America. But rather than ships off to war, this force was a fleet of icebergs. And the havoc it wrought was to the ocean current itself. The future of the Atlantic circulation will be determined by a tug-o-war between Greenland's decreasing ice flux and its increasing freshwater runoff.

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A team of researchers have developed a new machine-learning method that detects hate speech on social media platforms with 88 per cent accuracy, saving employees from hundreds of hours of emotionally damaging work.

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Team utilizes advanced statistical techniques to project the future groundwater depletion risk.

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Antibiotics prevent snails from forming new memories by disrupting their gut microbiome -- the community of beneficial bacteria found in their guts.

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Image privacy could be protected with the use of generative artificial intelligence. Researchers created a system which replaces parts of images that might threaten confidentiality with visually similar but AI-generated alternatives. Named 'generative content replacement,' in tests, 60% of viewers couldn't tell which images had been altered. The researchers intend for this system to provide a more visually cohesive option for image censoring, which helps to preserve the narrative of the image while protecting privacy.

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Researchers recently published findings that could lay the groundwork for applying quantum computing methods to protein structure prediction.

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Researchers demonstrated a quantum algorithmic speedup with the quantum approximate optimization algorithm, laying the groundwork for advancements in telecommunications, financial modeling, materials science and more.

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The team used machine learning to map nearly 30 million acres of United States cropland abandoned since the 1980s, creating a tool that could guide decisions about how to balance production of energy and food.

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Researchers demonstrated a scalable, modular hardware platform that integrates thousands of interconnected qubits onto a customized integrated circuit. This 'quantum-system-on-chip' (QSoC) architecture enables them to precisely tune and control a dense array of qubits.

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Artificial intelligence (AI) combined with a novel bio-inspired camera achieves 100 times faster detection of pedestrians and obstacles than current automotive cameras. This important step for computer vision and AI and can greatly improve the safety of automotive systems and self-driving cars.

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Researchers have developed an assistive machine learning model that greatly improves the ability of medical professionals to read the electroencephalography (EEG) charts of intensive care patients. Because EEG readings are the only method for knowing when unconscious patients are in danger of suffering a seizure or are having seizure-like events, the computational tool could help save thousands of lives each year.

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Researchers involved in cataloguing the world's plant species are hunting for answers as to what makes some groups of plants so successful. One of their major goals is to predict more accurately which lineages of flowering plants -- some of which are of huge importance to people and to ecosystems -- are at a greater risk from global climate change.

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If we want cleaner air, fewer forest fires, and less severe climate change, a new study shows we must reduce aerosol pollution and greenhouse gases like carbon dioxide at the same time.

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Persistent overuse of water and long-term drought has depleted the Colorado River and highlighted the need for a comprehensive understanding of how waters are allocated and used to develop effective management strategies.

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62% of Marine Protected Areas (MPAs) designated to protect rare migratory fish species are outside of their core habitats, according to a new modeling study.

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Corals play an essential role in ocean ecosystems, and like many organisms, they are under threat from climate change and other human activities. To better protect coral, it's first necessary to understand them, in particular their reproductive life cycle, which only happens once a year. For the first time, researchers have produced a model for coral spawning, based on various environmental factors. They achieved this by tapping an often overlooked source of aquatic knowledge, an aquarium.

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Researchers developed a computer vision framework for posture estimation and identity tracking which they can use in indoor environments as well as in the wild. They have thus taken an important step towards markerless tracking of animals in the wild using computer vision and machine learning.

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As the planet has warmed, scientists have long been concerned about the potential for harmful greenhouse gasses to seep out of thawing Arctic permafrost. Recent estimates suggest that by 2100 the amount of carbon dioxide and methane released from these perpetually frozen lands could be on par with emissions from large industrial countries. However, new research led by a team of microbiome scientists suggests those estimates might be too low.

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A team of scientists has used artificial intelligence (AI) to map the activities of seafloor invertebrate animals, such as worms, clams and shrimps, across all the oceans of the world.