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Categories: Computer Science: General, Space: Cosmology

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

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A study extends the definition of a habitable zone for planets to include their star's magnetic field.

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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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So far, only about ten intermediate-mass black holes have been discovered in the entire universe. The newly identified black hole causes surrounding stars in a cluster to move in an unexpectedly orderly way.

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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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Astronomers have uncovered what appear to be 21 neutron stars in orbit around stars like our Sun. The discovery is surprising because it is not clear how a star that exploded winds up next to a star like our Sun.

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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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Researchers announced the latest findings from the James Webb Space Telescope (JWST) of the supernova remnant, Cassiopeia A (Cas A). These observations of the youngest known core collapse supernova in the Milky Way provide insights into the conditions that lead to the formation and destruction of molecules and dust within supernova ejecta. The study's findings change our understanding of dust formation in the early universe in the galaxies detected by JWST 300 million years after the Big Bang.

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Our universe is around 13.8 billion years old. Over the vastness of this time, the tiniest of initial asymmetries have grown into the large-scale structures we can see through our telescopes in the night sky: galaxies like our own Milky Way, clusters of galaxies, and even larger aggregations of matter or filaments of gas and dust. How quickly this growth takes place depends, at least in today's universe, on a sort of wrestling match between natural forces: Can dark matter, which holds everything together through its gravity and attracts additional matter, hold its own against dark energy, which pushes the universe ever further apart?

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Two for two! A duo of interacting galaxies commemorates the second science anniversary of NASA's James Webb Space Telescope, which takes constant observations, including images and highly detailed data known as spectra. Its operations have led to a 'parade' of discoveries by astronomers around the world.

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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.