Using GANs For High-Resolution Cosmology Simulations

Using GANs For High-Resolution Cosmology Simulations

The researchers used a generative adversarial network, pitting two neural networks against each other to generate simulations.

Researchers from Carnegie Mellon University and the University of California, Berkeley have developed a way to create a complex simulated universe in under 24 hours combining supercomputing, machine learning, and astrophysics.

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gans neuralnetworks research

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