Deep Neural Networks Can Now Simulate The Universe, But Scientists Can’t Explain How

Researchers at the Simons Foundation have created a simulation of the universe that is both fast and accurate. The new artificial intelligence model used to run the simulation improves upon existing models in such a way that it can offer data on additional parameters even if it is not available in the training data. However, they have faced one problem — explainability. Explainable AI has always been an obstacle in the way of AI adoption. Even though the common consensus now is that AI as a concept is generally a black box, there is still a large focus on explainable AI. How will it benefit the world at large? An Introduction To Computational Astrophysics The model created by the foundation was dubbed the deep density displacement model. It is an AI model that generates complex three-