Using Graph Neural Networks, CMU Researchers Trained Generative Adversarial Networks to Correctly Predict the Coherent Orientations of Galaxies in a State-of-the-Art Cosmological Simulation

Physics has a branch called cosmology that examines the entire cosmos. It seeks to answer fundamental questions about nature by investigating various things like the matter/energy content of the cosmos, the evolution of the cosmos, etc.   Future wide-field cosmological surveys, like the High Latitude Survey (HLS) of the Roman Space Telescope, will be able to […]

The post Using Graph Neural Networks, CMU Researchers Trained Generative Adversarial Networks to Correctly Predict the Coherent Orientations of Galaxies in a State-of-the-Art Cosmological …

ai paper summary ai shorts applications art artificial intelligence carnegie mellon university country deep learning editors pick generative adversarial networks graph graph neural networks networks neural networks researchers simulation staff state tech news technology university research usa