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.

gans neuralnetworks research

What is Geek Coin

What is GeekCash, Geek Token

Best Visual Studio Code Themes of 2021

Bootstrap 5 Tutorial - Bootstrap 5 Crash Course for Beginners

Nest.JS Tutorial for Beginners

Hello Vue 3: A First Look at Vue 3 and the Composition API

IISc Researchers Teach AI To Be Ignorant With Rumi-GAN

The Rumi-GAN can be applied to almost all varieties of GANs, there is more potential to not only make GANs more efficient but also...

International Research Paper Publication | Research Journal

IJMRAS is a universal platform to submit Medical Research Journals, Engineering Research Paper and Scientific Journals. If you have Research Journal for publication visit here!

6 GAN Architectures Every Data Scientist Should Know

In this article, we will talk about some of the most popular GAN architectures, particularly 6 architectures that you should know to have a diverse coverage on Generative Adversarial Networks (GANs).

Researchers Claim Inconsistent Model Performance In Most ML Research

Researchers Claim Inconsistent Model Performance In Most ML Research. The process of benchmarking is considered to be one of the most crucial assets for the progress of AI and machine learning research.

GANs for Driving Biological Research

GANs for Driving Biological Research. The purpose of this article is to detail the potential applications of GANs to scientific research, so I will assume a preliminary understanding of GANs.