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Categories: Computer Science: General, Offbeat: Paleontology and Archeology

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Tackling a long-time mystery, scientists have found that the turbulent movements of air in clouds play a key role in the growth of water droplets and the initiation of rain. The research can improve computer model simulations of weather and climate and ultimately lead to better forecasts.

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Researchers have developed somersaulting spin qubits for universal quantum logic. This achievement may enable efficient control of large semiconductor qubit arrays. The research group recently published their demonstration of hopping spins and somersaulting spins.

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Scientists have discovered that the serrated edges of Komodo dragons' teeth are tipped with iron. The study gives new insight into how Komodo dragons keep their teeth razor-sharp and may provide clues to how dinosaurs like Tyrannosaurus rex killed and ate their prey.

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A study looks at the maximum possible sizes of dinosaurs, using the carnivore, Tyrannosaurus rex, as an example. Using computer modelling, experts produced estimates that T. Rex might have been 70% heavier than what the fossil evidence suggests.

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Palaeontologists are helping resolve the evolution and ecology of Odaraia, a taco-shaped marine animal that lived during the Cambrian period. Fossils reveal Odaraia had mandibles. Palaeontologists are finally able to place it as belonging to the mandibulates, ending its long enigmatic classification among the arthropods since it was first discovered in the Burgess Shale over 100 years ago and revealing more about early evolution and diversification.

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An automated assessment technique that uses artificial intelligence could revolutionize the management of Parkinson's disease.

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Archaeological evidence from the world-famous Mesolithic site of Star Carr in North Yorkshire has shown that hunter-gatherers likely kept an orderly home by creating 'zones' for particular domestic activities.

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Large language models may pass medical exams with flying colors but using them for diagnoses would currently be grossly negligent. Medical chatbots make hasty diagnoses, do not adhere to guidelines, and would put patients' lives at risk. A team has systematically investigated whether this form of artificial intelligence (AI) would be suitable for everyday clinical practice. Despite the current shortcomings, the researchers see potential in the technology. They have published a method that can be used to test the reliability of future medical chatbots.

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Researchers have developed a new model that combines generative AI and satellite data to accurately forecast wildfire spread.

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Engineers have shown that using a type of AI that revolutionized computer vision can greatly enhance modern adaptive radar systems. And in a move that parallels the impetus of the computer vision boom, they have released a large dataset of digital landscapes for others to build on their work.

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A new essay explores which conditions must be met for consciousness to exist. At least one of them can't be found in a computer.

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A new camera could prevent companies from collecting embarrassing and identifiable photos and videos from devices like smart home cameras and robotic vacuums. It's called PrivacyLens.

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Although devices such as standing desks have been found to alleviate physical symptoms and increase worker productivity, questions remain regarding the best use of the primary types of workstations -- stand-biased, sit-stand or traditional -- for increasing workers' physical activity and preventing health problems. To answer these questions, researchers measured the computer usage and activity levels of 61 office workers for 10 days to evaluate any discomfort and develop possible remedies.

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Have you ever wondered how insects are able to go so far beyond their home and still find their way? The answer to this question is not only relevant to biology but also to making the AI for tiny, autonomous robots. Drone-researchers felt inspired by biological findings on how ants visually recognize their environment and combine it with counting their steps in order to get safely back home. They have used these insights to create an insect-inspired autonomous navigation strategy for tiny, lightweight robots. It allows such robots to come back home after long trajectories, while requiring extremely little computation and memory (0.65 kiloByte per 100 m). In the future, tiny autonomous robots could find a wide range of uses, from monitoring stock in warehouses to finding gas leaks in industrial sites.

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Researchers have demonstrated that the layered multiferroic material nickel iodide (NiI2) may be the best candidate yet for devices such as magnetic computer memory that are extremely fast and compact. Specifically, they found that NiI2 has greater magnetoelectric coupling than any known material of its kind.

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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.

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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.

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Scientists propose a new way of implementing a neural network with an optical system which could make machine learning more sustainable in the future. In a new paper, the researchers have demonstrated a method much simpler than previous approaches.

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Using genomes from 2,000 living humans as well as three Neanderthals and one Denisovan, an international team mapped the gene flow between the hominin groups over the past quarter-million years.

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How do people like to interact with robots when navigating a crowded environment? And what algorithms should roboticists use to program robots to interact with humans? These are the questions that a team of mechanical engineers and computer scientists sought to answer in a recent study.