As space technology develops, scientists are able to collect more and more data from space. Process automation can help researchers wade through this information and can use AI to develop faster, more large-scale ways to collect data about space.
Space technology is becoming more advanced all the time. With modern technology, scientists can mine a wealth of data about space and the universe to help us understand more about the galaxy. In fact, there is now so much information flowing from space to Earth that researchers are turning to AI process automation to help them analyze it all. Here are some of the ways that space researchers are turning artificial intelligence to their advantage.
Innovations in space tech mean that we can rapidly collect huge amounts of data about phenomena that occur in space. Through satellite use, scientists can observe planetary movement, discover black holes, and observe life on Earth in new and unique ways. Meanwhile, as AI also becomes more advanced, researchers are looking at ways to combine the two fields in order to introduce process automation to their endeavours.
Process automation refers to the ability to automate tasks through machine programming. This can mean programming a computer to scan information or to repeat a process automatically. It can also mean programming an AI to intelligently analyze data or run complex algorithms.
Process automation can speed up tasks that would take a human team years to complete or that would be impossible for humans to complete at all. This means it can help us tackle data on a much grander scale, analyzing millions of pieces of data input in a rapid space of time. When it comes to space tech development, massive scale is required, and we rely heavily on machines because there is so much space that humans cannot explore. This is why experts are so hopeful about the use of process automation, and particularly the development of AI, in space exploration research.
Also Read: Time For Artificial Intelligence In IT Security
Researchers are currently training complex AIs to recognize the gravitational waves around events like black holes or neutron stars. This can be achieved by training AIs to recognize certain ripple or vibration patterns, which occur when a black hole is present. By recognizing these patterns early, AI satellites could send a warning to astronomers on Earth. This would allow researchers to turn their telescopes and witness the black hole, thereby helping scientists to learn more about these events.
While all of the planets in our Solar System rotate around the sun, exoplanets exist outside of this system and orbit around their own stars. One of the ways that researchers identify the presence of exoplanets is by charting the light from these stars. By observing changes or dips in this light, scientists can see the way that exoplanets orbit around them and learn more about these exoplanets. These types of equations are referred to as time-series analyses.
However, with advanced space tech, companies and space startups cannot keep up with the number of exoplanets they find and the amount of information about them they receive. By training AIs to use these time-series analysis techniques, researchers hope to automate the process of observing exoplanets. This can help scientists learn even more about a larger number of exoplanets in a much shorter space of time.
A gravitational lens occurs when two galaxies line up. When two galaxies align in the perfect position, a gravitational lens is created, which allows scientists on Earth to see one galaxy through the other more clearly. These events are extremely rare and difficult to spot.
Scientists would need to comb space almost continually to find them consistently. This is, again, where AI comes in. AI algorithms can be taught to recognize these lens’ and collect images from them. This can effectively automate the process and still provide scientists with more data than they could collect on their own, allowing for a greater understanding of the universe.
As space tech develops, there is also a growing interest in creating more sustainable space technology. There have already been major strides in this field, with many companies looking into reusable satellites and modern rockets that use greener fuel sources. There is also a large degree of interest in 3D printing in space industry circles to see if scientists can generate materials more sustainably.
Space junk is a serious problem and one that the industry hopes to solve. There are currently thousands of satellites orbiting in space, which are no longer used, and which can collide with other objects. AI and automation present hopeful options in the field of space junk removal, too, and some unique experiments are already underway to test out some of these methods.
Space technology opens up amazing possibilities. As the technology improves, with advances like AI and process automation, these possibilities grow even further. It will be fascinating to see where the next few years take us in terms of space research.
Final Call: Are you interested in space research? How about AI? Share your space interests in the comments!
Also Read: How Artificial Intelligence Is Transforming The Recruitment Space
If you're a blogger, you probably know how important it is to have an editorial…
Most Indian workers, in these days of emergency linked to Coronavirus, are rightly locked at…
After carefully combing Generation Y and Millennials, it is Generation Z's turn to be scrutinized.…
The virtual tour has become an exciting reality for small and medium-sized businesses. Until a…
At barely 26 years old, Evan Spiegel, the young prodigy founder of Snapchat, decided to…
They answer customer calls with a voice that sounds human, giving contemplated data and not…