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Categories: Geoscience: Oceanography, Mathematics: Modeling

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Biological processes depend on puzzle pieces coming together and interacting. Under specific conditions, these interactions can create something new without external input. This is called self-organization, as seen in a school of fish or a flock of birds. Interestingly, the mammalian embryo develops similarly. Scientists now introduce a mathematical framework that analyzes self-organization from a single cell to a multicellular organism.

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A fungus living in the sea can break down the plastic polyethylene, provided it has first been exposed to UV radiation from sunlight. Researchers expect that many more plastic degrading fungi are living in deeper parts of the ocean.

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A novel, human-inspired approach to training artificial intelligence (AI) systems to identify objects and navigate their surroundings could set the stage for the development of more advanced AI systems to explore extreme environments or distant worlds, according to new research.

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The fjords on Sweden's west coast act as effective carbon traps regardless of whether the bottom water is oxygen-rich or not.

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As more and more people drive electric cars, congestion and queues can occur when many people need to charge at the same time. A new study shows how AI-controlled charging stations, through smart algorithms, can offer electric vehicle users personalized prices, and thus minimize both price and waiting time for customers. But the researchers point to the importance of taking the ethical issues seriously, as there is a risk that the artificial intelligence exploits information from motorists.

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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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A whaler's forgotten aerial photos from 1937 have given researchers the most detailed picture of the ice evolution in East Antarctica to date. The results show that the ice has remained stable and even grown slightly over almost a century, though scientists observe early signs of weakening. The research offers new insights that enhance predictions of ice changes and sea level rise.

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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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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 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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With generative artificial intelligence (GenAI) transforming the social interaction landscape in recent years, large language models (LLMs), which use deep-learning algorithms to train GenAI platforms to process language, have been put in the spotlight. A recent study found that LLMs perform more like the human brain when being trained in more similar ways as humans process language, which has brought important insights to brain studies and the development of AI models.

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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.

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Members of the vertebrate group including anglerfishes are unique in possessing a characteristic known as sexual parasitism, in which males temporarily attach or permanently fuse with females to mate. Now, researchers show that sexual parasitism arose during a time of major global warming and rapid transition for anglerfishes from the ocean floor to the deep, open sea.

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A new study predicts future climate change impacts could disrupt the krill-heavy diet that humpback whales in the southern hemisphere consume.

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Southern California's iconic sandy coastlines are vanishing at an alarming rate, and it's a warning sign for coastal communities worldwide, new research suggests.

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Many processes in the deep sea are not yet well understood, and the role of microbial communities in particular is often a big unknown. This includes, for example, how organic material that sinks from the water surface to the ocean floor is metabolised -- an important building block for a better understanding of the global carbon cycle.

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Researchers have unveiled a novel method to prepare quantum operations on a given quantum computer, using a machine learning generative model to find the appropriate sequence of quantum gates to execute a quantum operation. The study marks a significant step forward in unleashing the full extent of quantum computing.

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A recent boom in the purple sea urchin population off the southern Oregon Coast appears to have had an indirect and negative impact on the gray whales that usually forage in the region, a new study shows.