The future is here. Artificial intelligence is helping scientists to find new craters on the Moon. It already found 6000.
About the method they’re using
The method seems to be too old. They need to look at an image, find and count the craters. Then, they have to calculate how large they are, only with information regarding the size of the image. The artificial intelligence does this by itself – not so much time and effort wasted.
Scientists has tried to do this before – they tried to create algorithms that would be able to understand and count craters. But then they were used on new, unseen patches from the moon and the performance was horrible.
AI is way better
We cannot compare the two of them because it’s clear. For the first time, there exists an algorithm that can identify craters not only from the Moon but also from Mercury.
To get an idea regarding the accuracy of this, the specialists first trained the neural network set to cover two-thirds of the Moon. Then they tested the trained network on the remaining space from the Moon.
This worked so well that the device identified twice as many craters as the usual method would. It actually got 6000 new craters from the Moon.
The method is based off a convolutional neural network – a machine which learns algorithms that were used for a computer vision to turn on robots and self-driving cars, too. They got the data for the algorithms from elevation maps and these elevation maps were collected from orbiting satellites.
Actually, the fact that these machines can help us see even smaller craters and find new thing about the planets, makes us wanna ask ourselves what has the great solar system hidden from us. Also, knowing the location and size of the craters from the Moon makes us understand a little more about the history of the solar system.
Karen and her husband live on a plot of land in British Columbia. They aim to grow and raise a significant part of their food by maintaining a vegetable garden, keeping a flock of backyard chickens and foraging. They are also currently planning a move to a small cabin they hand built. Karen’s academic background in nutrition made her care deeply about real food and seek ways to obtain it. Thus sprung Anna’s interest in backyard gardening, chicken and goat keeping, recycling and self-sufficiency.