Using AI driven data analysis to peel back the noise and find the actual shape of the Universe. Japanese astronomers have developed a new artificial intelligence (AI) technique to remove noise in astronomical data due to random variations in galaxy shapes. After extensive training and testing on large mock data created by supercomputer simulations, they then applied this new tool to actual data from Japan's Subaru Telescope and found that the mass distribution derived from using this method is consistent with the currently accepted models of the Universe. This is a powerful new tool for analyzing big data from current and planned astronomy surveys. Wide area survey data can be used to study the large-scale structure of the Universe through measurements of gravitational lensing patterns.

The universe comes off as a vast and immeasurable entity whose depths are imperceptible to Earthlings. But in the pursuit of simplifying all that surrounds us, scientists have made great strides in understanding the space we inhabit. Now, Japanese astronomers have developed an astounding technique to measure the universe. Using artificial intelligence, scientists were able to remove noise in astronomical data which is caused by random variations in the shapes of galaxies. What did the scientists do?

One of the biggest challenges in astronomy is also the most obvious: space is big, and it takes a long time to look at it all. This is why artificial intelligence has been such a boon to this science. It turns out that the same machine vision tools developed for tasks like guiding self-driving cars are also perfect for sorting through vast amounts of astronomical data. So, astronomers announced this month that they'd used AI to find 6,000 new craters on the Moon. The Moon is estimated to have hundreds of thousands of craters, mostly caused by impacts with asteroids and meteors.