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Categories: Computer Science: General, Space: Cosmology

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Astronomers uncovered that a well-known X-ray binary, whose exact nature has been a mystery to scientists until now, is actually a hidden ultraluminous X-ray source.

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The history of how stars and galaxies came to be and evolved into the present day remains among the most challenging astrophysical questions to solve yet, but new research brings us closer to understanding it. New insights about young galaxies during the Epoch of Reionization have been revealed. Observations with the James Webb Space Telescope (JWST) of the galaxy Cosmic Gems arc (SPT0615-JD) have confirmed that the light of the galaxy was emitted 460 million years after the big bang. What makes this galaxy unique is that it is magnified through an effect called gravitational lensing, which has not been observed in other galaxies formed during that age.

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Looking under the microscope, a group of cells slowly moves forward in a line, like a train on the tracks. The cells navigate through complex environments. A new approach now shows how they do this and how they interact with each other.

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A new technique can model an entire 3D scene, including areas hidden from view, from just one camera image. The method relies on image shadows, which provide information about the geometry and location of hidden objects.

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The potential of quantum computers is currently thwarted by a trade-off problem. Quantum systems that can carry out complex operations are less tolerant to errors and noise, while systems that are more protected against noise are harder and slower to compute with. Now a research team has created a unique system that combats the dilemma, thus paving the way for longer computation time and more robust quantum computers.

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A new way to teach artificial intelligence (AI) to understand human line drawings -- even from non-artists -- has been developed.

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A recently developed wirelessly powered 5G relay could accelerate the development of smart factories, report scientists. By adopting a lower operating frequency for wireless power transfer, the proposed relay design solves many of the current limitations, including range and efficiency. In turn, this allows for a more versatile and widespread arrangement of sensors and transceivers in industrial settings.

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Scientists have proposed a new AI method in which systems of habitual and goal-directed behaviors learn to help each other. Through computer simulations that mimicked the exploration of a maze, the method quickly adapts to changing environments and also reproduced the behavior of humans and animals after they had been accustomed to a certain environment for a long time. The study not only paves the way for the development of systems that adapt quickly and reliably in the burgeoning field of AI, but also provides clues to how we make decisions in the fields of neuroscience and psychology.

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Using computer-assisted neural networks, researchers have been able to accurately identify affective states from the body language of tennis players during games. For the first time, they trained a model based on artificial intelligence (AI) with data from actual games. Their study demonstrates that AI can assess body language and emotions with accuracy similar to that of humans. However, it also points to ethical concerns.

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Understanding organismal traits and learning how they evolve and adapt to different environments is crucial for biologists and the battle against biodiversity loss. To be truly efficient, however, the researchers need to use huge amounts of data, including physical traits and DNA. Furthermore, those different data types need to be accurately linked to each other, so that computers and next-age AI technology can correctly process it. Currently, this process of accurate linking is extremely difficult and largely inefficient. To solve this problem, researchers created a brand new computer language called Phenoscript.

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Using a specially designed 3D printed vacuum system, scientists have developed a way to 'trap' dark matter with the aim of detecting domain walls, this will be a significant step forwards in unravelling some of the mysteries of the universe.

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Researchers developed software that can simulate the growth of field crops. To do this, they fed thousands of photos from field experiments into a learning algorithm. This enabled the algorithm to learn how to visualize the future development of cultivated plants based on a single initial image. Using the images created during this process, parameters such as leaf area or yield can be estimated accurately.

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Astronomers have discovered a double-record-breaking pair of quasars. Not only are they the most distant pair of merging quasars ever found, but also the only pair confirmed in the bygone era of the Universe's earliest formation.

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A technique can plan a trajectory for a robot using only language-based inputs. While it can't outperform vision-based approaches, it could be useful in settings that lack visual data to use for training.

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Researchers have made a significant breakthrough in how to enable and exploit ultra-fast spin behavior in ferromagnets. The research paves the way for ultra-high frequency applications.

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Researchers have experimentally generated high-density relativistic electron-positron pair-plasma beams by producing two to three orders of magnitude more pairs than previously reported.

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Researchers have developed a technique that allows artificial intelligence (AI) programs to better map three-dimensional spaces using two-dimensional images captured by multiple cameras. Because the technique works effectively with limited computational resources, it holds promise for improving the navigation of autonomous vehicles.

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Researchers used supercomputers to create nearly 4 million simulated images depicting the cosmos.

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Scientists have developed an artificial intelligence (AI)-powered system to track tiny devices that monitor markers of disease in the gut. Devices using the novel system may help at-risk individuals monitor their gastrointestinal (GI) tract health at home, without the need for invasive tests in hospital settings.

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Researchers have demonstrated a new method that leverages artificial intelligence (AI) and computer simulations to train robotic exoskeletons to autonomously help users save energy while walking, running and climbing stairs.