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New application of AI just removed one of the biggest roadblocks in astrophysics


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IMAGE: Simulations of a region of space 100 million light-years square. The leftmost simulation ran at low resolution. Using machine learning, researchers upscaled the low-res model to create a high-resolution simulation.
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Credit: Y. Li et al./Proceedings of the National Academy of Sciences 2021
Using a bit of machine learning magic, astrophysicists can now simulate vast, complex universes in a thousandth of the time it takes with conventional methods. The new approach will help usher in a new era in high-resolution cosmological simulations, its creators report in a study published online May 4 in
At the moment, constraints on computation time usually mean we cannot simulate the universe at both high resolution and large volume, says study lead author Yin Li, an astrophysicist at the Flatiron Institute in New York City. With our new technique, it s possible to have both efficiently. In the future, these AI-based methods will beco ....

New York , United States , Rupert Croft , University Of California , Carnegie Mellon University , Proceedings Of The National Academy Sciences , Flatiron Institute Center , Flatiron Institute , Simeon Bird Of The University California , National Academy , Computational Astrophysics , Tiziana Di Matteo , Simeon Bird , புதியது யார்க் , ஒன்றுபட்டது மாநிலங்களில் , பல்கலைக்கழகம் ஆஃப் கலிஃபோர்னியா , கார்னகி மெலந் பல்கலைக்கழகம் , பிளாட்டிரான் நிறுவனம் மையம் , பிளாட்டிரான் நிறுவனம் , தேசிய கலைக்கழகம் , கணக்கீட்டு வானியற்பியல் , சிமியோன் பறவை ,

New application of AI just removed one of biggest roadblocks in astrophysics


Simons Foundation
Using a bit of machine learning magic, astrophysicists can now simulate vast, complex universes in a thousandth of the time it takes with conventional methods. The new approach will help usher in a new era in high-resolution cosmological simulations, its creators report in a study published online May 4 in Proceedings of the National Academy of Sciences.
“At the moment, constraints on computation time usually mean we cannot simulate the universe at both high resolution and large volume,” says study lead author Yin Li, an astrophysicist at the Flatiron Institute in New York City. “With our new technique, it’s possible to have both efficiently. In the future, these AI-based methods will become the norm for certain applications.” ....

New York , United States , Rupert Croft , University Of California , Carnegie Mellon University , Proceedings Of The National Academy Sciences , Flatiron Institute Center , Flatiron Institute , Simeon Bird Of The University California , National Academy , Computational Astrophysics , Tiziana Di Matteo , Simeon Bird , புதியது யார்க் , ஒன்றுபட்டது மாநிலங்களில் , பல்கலைக்கழகம் ஆஃப் கலிஃபோர்னியா , கார்னகி மெலந் பல்கலைக்கழகம் , பிளாட்டிரான் நிறுவனம் மையம் , பிளாட்டிரான் நிறுவனம் , தேசிய கலைக்கழகம் , கணக்கீட்டு வானியற்பியல் , சிமியோன் பறவை ,