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Categories: Computer Science: Artificial Intelligence (AI), Space: Exploration

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Scientists have announced the discovery of nearly 300 gamma ray pulsars.

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Researchers have discovered a new relationship between the Sun's magnetic field and its sunspot cycle, that can help predict when the peak in solar activity will occur. Their work indicates that the maximum intensity of solar cycle 25, the ongoing sunspot cycle, is imminent and likely to occur within a year.

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Researchers report that they have developed a new composite material designed to change behaviors depending on temperature in order to perform specific tasks. These materials are poised to be part of the next generation of autonomous robotics that will interact with the environment.

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Computer scientists have developed AntiFake, a tool to protect voice recordings from unauthorized speech synthesis.

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Wondering whether whether Dark Matter particles actually are produced inside a jet of standard model particles, led researchers to explore a new detector signature known as semi-visible jets, which scientists never looked at before.

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Scientists have simulated conditions that allow hazy skies to form in water-rich exoplanets, a crucial step in determining how haziness muddles important telescope observations for the search of habitable worlds beyond the solar system.

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A new technique enables an AI agent to be guided by data crowdsourced asynchronously from nonexpert human users as it learns to complete a task through reinforcement learning. The method trains the robot faster and better than other approaches.

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In 1991, an experiment detected the highest-energy cosmic ray ever observed. Later dubbed the Oh-My-God particle, the cosmic ray’s energy shocked astrophysicists. Nothing in our galaxy had the power to produce it, and the particle had more energy than was theoretically possible for cosmic rays traveling to Earth from other galaxies. Simply put, the particle should not exist. On May 27, 2021, the Telescope Array experiment detected the second-highest extreme-energy cosmic ray. The newly dubbed Amaterasu particle deepens the mystery of the origin, propagation and particle physics of rare, ultra-high-energy cosmic rays.

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The latest image from NASA's James Webb Space Telescope shows a portion of the dense center of our galaxy in unprecedented detail, including never-before-seen features astronomers have yet to explain. The star-forming region, named Sagittarius C (Sgr C), is about 300 light-years from the Milky Way's central supermassive black hole, Sagittarius A*.

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Psychologists are using EEG to research what games reveal about our ability to cooperate.

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Researchers have discovered solar-wind hydrogen in lunar samples, which indicates that water on the surface of the Moon may provide a vital resource for future lunar bases and longer-range space exploration.

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If you look at massive galaxies teeming with stars, you might be forgiven in thinking they are star factories, churning out brilliant balls of gas. But actually, less evolved dwarf galaxies have bigger regions of star factories, with higher rates of star formation. Now, University of Michigan researchers have discovered the reason underlying this: These galaxies enjoy a 10-million-year delay in blowing out the gas cluttering up their environments. Star-forming regions are able to hang on to their gas and dust, allowing more stars to coalesce and evolve. In these relatively pristine dwarf galaxies, massive stars--stars about 20 to 200 times the mass of our sun--collapse into black holes instead of exploding as supernovae. But in more evolved, polluted galaxies, like our Milky Way, they are more likely to explode, thereby generating a collective superwind. Gas and dust get blasted out of the galaxy, and star formation quickly stops.   

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A researcher contends that the understanding of AI is muddled by linguistics: That while indeed intelligent, AI cannot be intelligent in the way that humans are, even though 'it can lie and BS like its maker.'

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Generative AI (e.g., ChatGPT) has propelled AI into the mainstream, raising concerns about job displacement and creative work. Experts now emphasize a need to focus on 'co-creativity,' the human-AI interaction instead. Extensive research is needed for comprehending co-creativity which is crucial for the future development of AI.

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Using the James Webb Space Telescope, CECILIA Survey receives first data from galaxies forming two-to-three billion years after the Big Bang. By examining light from these 33 galaxies, researchers discovered their elemental composition and temperature. The ultra-deep spectrum revealed eight distinct elements: Hydrogen, helium, nitrogen, oxygen, silicon, sulfur, argon and nickel. The teenage galaxies also were extremely hot, reaching temperatures higher than 13,350 degrees Celsius.

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Scientists have shown that placing physical constraints on an artificially-intelligent system -- in much the same way that the human brain has to develop and operate within physical and biological constraints -- allows it to develop features of the brains of complex organisms in order to solve tasks.

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A new artificial intelligence (AI) software is now able to decipher difficult-to-read texts on cuneiform tablets. Instead of photos, the AI system uses 3D models of the tablets, delivering significantly more reliable results than previous methods. This makes it possible to search through the contents of multiple tablets to compare them with each other. It also paves the way for entirely new research questions.  

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Gamma-ray flares from blazars can be accompanied by high-energy neutrino emission. To better understand this phenomenon, an international research team has statistically analyzed 145 bright blazars. They constructed weekly binned light curves and utilized a Bayesian algorithm, finding that their sample was dominated by blazars with low flare duty cycles and energy fractions. The study suggests that high-energy neutrinos of blazars might be produced mainly during the flare phase.

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A new tool, based on topology, makes finding the areas where neural networks are confused as simple as spotting mountaintops from an airplane. The ability to spot and address those areas of confusion should enable more confident application of neural networks in high-stakes decision scenarios or image prediction tasks like healthcare and research.

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A team of researchers has developed a computer program that creates realistic videos that reflect the facial expressions and head movements of the person speaking, only requiring an audio clip and a face photo.   DIverse yet Realistic Facial Animations, or DIRFA, is an artificial intelligence-based program that takes audio and a photo and produces a 3D video showing the person demonstrating realistic and consistent facial animations synchronised with the spoken audio (see videos).