The emergence of the universe simulation model is fast and unbelievably accurate

For the first time in history, space physicists have successfully used artificial intelligence to create a complex three-dimensional model of cosmic simulations. The result is such a precise, complex and energetic structure, that its creators do not understand how the whole model works.

' We can operate this simulated model in just a few milliseconds, while other rapid universe reconstruction models take several minutes to start up, ' said study co-author, Shirley Ho. The team at the Center for Computational Physics of the Institute of Flatiron, New York City said. ' Not only that, the model is much more accurate .'

This model is called the Density and Depth Swap Model (D3M for short).(Illustration).

The speed and accuracy of the Density and Depth Swap Model (D3M) is still not surprising to researchers. That must be the ability to accurately describe what the Universe would be like if you changed some of the basic elements of the universe, such as how much dark matter existed in the Universe; I must add that D3M has never received any training data (like the way of putting data into artificial intelligence), only based on the basic elements inherent.

' Like an image recognition software that only knows cats and dogs, suddenly it identifies elephants, ' explained Professor Ho.

Ho and colleagues introduced D3M on June 24 at an event that took place at the National Academy of Sciences. The presentation was held by Siyu He, an analyst and researcher at the Flatiron Institute.

Comparing the accuracy of the two cosmic models, with the left color column showing the error rate appears.The new model on the left, D3M, is both faster and more accurate than the currently used method.

Simulated models similar to D3M have become indispensable tools in the construction of cosmological theories. Scientists want to know how the universe evolves through periods, under different conditions, such as how dark energy affects the state of the universe. Similar studies are time-consuming, when thousands of simulated programs must be run at a time. Having a fast and accurate simulation model is a remarkable milestone.

D3M modeled out how gravity creates the universe. Often, researchers will only focus on the gravitational force of it, as of this time and with the doctrines we have, the most important force when considering the evolutionary scale of the infinite universe.

The most accurate space simulation models calculate how gravity moves billions of individual particles that are still floating in space, throughout the long simulation time equivalent to the age of the Universe. To be accurate, it takes time to calculate, about 300 hours of machine running continuously for an emulator model.The faster the speed, the shorter the time, the lower the accuracy.

The model of the Cosmic Universe was developed by Kavli Institute of Cosmology, University of Chicago.

But new research uses the power of neural networks to create an accurate simulation model: D3M is formed after machine learning systems receive 8,000 different simulator models, with the most accurate calculations possible. . Neural networks receive data and calculations to create the final model, then researchers compare expected results and actual results.

D3M surprised the researchers. To make a 600 million light-year universe, the slow-to-be model would probably take a few hundred hours, the ' fast-paced' model would take several minutes. D3M takes 30 milliseconds, with amazing accuracy, with only 2.8% error; The rapid model has an error rate of up to 9.3%.

The ability to handle elements that are not included in the input data makes D3M more impressive, turning it into an unprecedented flexible universe simulation model. And its application can also reach out to the industry that is supporting it successfully.

' We can create a common playground for machine learning systems, analyze why the new model can calculate such good extrapolation, why elephants can be recognized while only learning about dogs. cat ', Professor Ho said. ' This is a two-way street, which is beneficial for both aerospace science and deep learning '.

1. There is evidence that this universe is a simulator, Elon Musk is right
2. Constructing successful virtual universe, have scientists come very close to the answer to the origin and expansion of the universe?