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Categories: Mathematics: Modeling, Space: General

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A groundbreaking method of detecting high-frequency gravitational waves (HFGWs) has been proposed. The team's innovative approach may enable the successful detection of HFGWs by utilizing existing and technologically feasible astronomical telescopes in planetary magnetosphere, opening up new possibilities for studying the early universe and violent cosmic events in an effective and technically viable way.

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Scientists have detected what they believe to be a neutron star spinning at an unprecedentedly slow rate -- slower than any of the more than 3,000 radio emitting neutron stars measured to date.

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A rare exoplanet that should have been stripped down to bare rock by its nearby host star's intense radiation somehow grew a puffy atmosphere instead -- the latest in a string of discoveries forcing scientists to rethink theories about how planets age and die in extreme environments. Nicknamed 'Phoenix' for its ability to survive its red giant star's radiant energy discovered planet illustrates the vast diversity of solar systems and the complexity of planetary evolution -- especially at the end of stars' lives.

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Have you ever wished you could understand what your dog is trying to say to you? Researchers are exploring the possibilities of AI, developing tools that can identify whether a dog's bark conveys playfulness or aggression.

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Researchers have developed a model that enables computers to interpret and understand human emotions, utilizing principles of mathematical psychology. In the future, the model can help the computer to adapt its own behavior and guide an irritated or anxious user in different ways. The implications of such technology are profound, offering a glimpse into a future where computers are not merely tools, but empathetic partners in user interaction.

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Researchers call for strengthening existing planetary protection policies beyond the space surrounding Earth to include requirements for preserving the Lunar and Martian environments.

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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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Mars has a distinct structure in its mantle and crust with discernible reservoirs, and this is known thanks to meteorites that scientists have analyzed. These results are important for understanding not only how Mars formed and evolved, but also for providing precise data that can inform recent NASA missions like Insight and Perseverance and the Mars Sample Return.

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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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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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Combining a new imaging instrument with the powerful adaptive optics capabilities of the Large Binocular Telescope, astronomers have captured a volcanic event on Jupiter's moon Io at a resolution never before achieved with Earth-based observations.

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New research demonstrated a possible formation mechanism of intermediate-mass black holes in globular clusters, star clusters that could contain tens of thousands or even millions of tightly packed stars. The first ever star-by-star massive cluster-formation simulations revealed that sufficiently dense molecular clouds, the 'birthing nests' of star clusters, can give birth to very massive stars that evolve into intermediate-mass black holes.

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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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Over the last two years, scientists have used NASA's James Webb Space Telescope to explore what astronomers refer to as Cosmic Dawn -- the period in the first few hundred million years after the big bang where the first galaxies were born.

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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 moon orbiting the asteroid Dinkinesh is actually two tiny moons stuck together. Collectively called 'Selam,' the two moonlets bring new insight into the complex processes behind planetary formation and evolution.

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Researchers have applied the well-understood and highly verified quantum field theory, usually applied to the study of the very small, to a new target, the early universe. Their exploration led to the conclusion that there ought to be far fewer miniature black holes than most models suggest, though observations to confirm this should soon be possible. The specific kind of black hole in question could be a contender for dark matter.

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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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A new study may help redefine how scientists map the surface of the Moon, making the process more streamlined and precise than ever before.