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Categories: Mathematics: Modeling, Space: Cosmology

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Not all discoveries turn out to be actual new discoveries. This was the case for the extremely red objects (EROs) found in James Webb Space Telescope (JWST) data. Analysis shows that they are very similar to blue-excess dust obscured galaxies (BluDOGs) already reported in Subaru Telescope data.

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Astronomers have discovered a population of massive stars that have been stripped of their hydrogen envelopes by their companions in binary systems. The findings shed light on the hot helium stars that are believed to be the origins of hydrogen-poor core-collapse supernovae and neutron star mergers.

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Supernovae -- stellar explosions as bright as an entire galaxy -- have fascinated us since time immemorial. Yet, there are more hydrogen-poor supernovae than astrophysicists can explain. Now, scientists may have found the missing precursor star population.

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Two galaxies in the early universe, which contain extremely productive star factories, have been studied by a team of scientists. Using powerful telescopes to split the galaxies' light into individual colors, the scientists were amazed to discover light from many different molecules -- more than ever before at such distances. Studies like this could revolutionize our understanding of the lives of the most active galaxies when the universe was young, the researchers believe.

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In the largest study yet of deep neural networks trained to perform auditory tasks, researchers found most of these models generate internal representations that share properties of representations seen in the human brain when people are listening to the same sounds.

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Artificial intelligence (AI) systems are often depicted as sentient agents poised to overshadow the human mind. But AI lacks the crucial human ability of innovation, researchers have found.

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ChatGPT may do an impressive job at correctly answering complex questions, but a new study suggests it may be absurdly easy to convince the AI chatbot that it's in the wrong.

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A joint research team in computer science, economics, and geography has developed an artificial intelligence (AI) technology to measure grid-level economic development within six-square-kilometer regions. This AI technology is applicable in regions with limited statistical data (e.g., North Korea), supporting international efforts to propose policies for economic growth and poverty reduction in underdeveloped countries. The research team plans to make this technology freely available for use to contribute to the United Nations' Sustainable Development Goals (SDGs).

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Galactic winds enable the exchange of matter between galaxies and their surroundings. In this way, they limit the growth of galaxies, that is, their star formation rate. Although this had already been observed in the local universe, an international research team has just revealed the existence of the phenomenon in galaxies which are more than 7 billion years old and actively forming stars, the category to which most galaxies belong. The team's findings thus show this is a universal process.

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Through analysis of high-resolution data from a ten-meter telescope in Hawaii, researchers have succeeded in generating new knowledge about three stars at the very heart of the Milky Way. The stars proved to be unusually young with a puzzling chemical composition that surprised the researchers.

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Mathematics, histopathology and genomics converge to confirm that the most aggressive clear cell renal cell carcinomas display low levels of intratumour heterogeneity, i.e. they contain fewer distinct cell types. The study supports the hypothesis that it would be advisable to apply therapeutic strategies to maintain high levels of cellular heterogeneity within the tumour in order to slow down the evolution of the cancer and improve human survival.  

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Astronomers studying images from the James Webb Space Telescope have identified an object as a 'dusty star-forming galaxy' from nearly 1 billion years after the Big Bang. They have also discovered more than a dozen additional candidates, suggesting these galaxies might be three to 10 times as common as expected. If that conclusion is confirmed, it suggests the early universe was much dustier than previously thought.

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The universe is expanding. How fast it does so is described by the so-called Hubble-Lemaitre constant. But there is a dispute about how big this constant actually is: Different measurement methods provide contradictory values. This so-called 'Hubble tension' poses a puzzle for cosmologists. Researchers are now proposing a new solution: Using an alternative theory of gravity, the discrepancy in the measured values can be easily explained -- the Hubble tension disappears.

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Researchers have demonstrated the use of AI-selected natural images and AI-generated synthetic images as neuroscientific tools for probing the visual processing areas of the brain. The goal is to apply a data-driven approach to understand how vision is organized while potentially removing biases that may arise when looking at responses to a more limited set of researcher-selected images.

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While life on Earth is relatively new, geologically speaking, the ingredients that combined to form it might be much older than once thought. The simplest amino acid, carbamic acid, could have formed alongside stars or planets within interstellar ices. The findings could be used to train deep space instruments like the James Webb Space Telescope to search for prebiotic molecules in distant, star-forming regions of the universe.

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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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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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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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Our own Milky Way galaxy is part of a much larger formation, the local Supercluster structure, which contains several massive galaxy clusters and thousands of individual galaxies. Due to its pancake-like shape, which measures almost a billion light years across, it is also referred to as the Supergalactic Plane. Why is the vast supergalactic plane teeming with only one type of galaxies? This old cosmic puzzle may now have been solved.

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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.