The use of artificial intelligence (AI) has become commonplace. Siri, Alexa, Google Assistant, and Cortana are just a few of the AI-based virtual assistants that some of you currently use every day, but there are many more as well. AlphaFold2 from Google's artificial intelligence company DeepMind tackled the protein-folding problem. Although they've tried their best, scientists haven't succeeded in solving this problem for more than 50 years.
Next, we'll take a closer look at what's going on with this. Is artificial intelligence a viable option for space missions and investigations?
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AI can help us in a variety of ways, from designing missions to cleaning up Earth's orbit. Many companies, including NASA and Google, have already used AI to search for new planetary bodies, life on other planets, and even to streamline astronauts' jobs in space. Let's take a look at the artificial intelligence (AI) technology that is aiding space exploration.
Space-based personal assistants
The Crew Interactive Mobile Companion, or CIMON, was developed by IBM in collaboration with the German space agency DLR and Airbus. AI robot CIMON can converse with astronauts onboard the International Space Station, thanks to its spherical shape.
These technologies have a variety of applications. In the event of an emergency or the course of normal mission activities, astronauts may suffer communication delays that prohibit mission control from providing quick assistance.
For the astronauts, CIMON will be their assistant, assisting them in finding all the information they need.
A lot of this effort is eliminated by CIMON, which provides astronauts with the information they need. Ask Siri or Alexa a question and they will answer it for you.
Additionally, CIRI is integrated with facial recognition technology that enables a more intimate engagement in addition to its ability to understand human speech. For the algorithm to recognize all of the features of human faces, human data annotators must place important points along with training dataset photos.
CIMON may also move and rotate freely due to CIRI's ability to move around thanks to its twelve internal fan motors. This is done using LiDAR technology, which allows the robot to perceive its surroundings and requires some data annotation.
Image Processing of Satellite Images
There is a vast amount of data produced by satellites orbiting the Earth. Things like black holes and radio galaxies can already be detected using artificial intelligence. Artificial intelligence (AI) algorithms are used to analyze data from the Gaia space telescope to locate new stars that could better explain the formation of our galaxy. Only approximately 100 stars could be identified by scientists before artificial intelligence and machine learning techniques were applied. As a result of the new AI technology, the number of protostars has risen to 2,000!
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A lot of photographs of the Earth are produced by space telescopes, which may be used to acquire meteorological information, create up-to-date maps, and a lot of other information. Our planet's satellite imaging alone opens up an infinite number of opportunities for artificial intelligence applications. In the absence of AI algorithms, people would be forced to process data on their own, resulting in less reliable information.
It is no longer necessary to communicate between ground and space stations due to the use of artificial intelligence directly onboard the satellite. For example, the ability to track atmospheric fronts in real-time is the key to machine learning algorithms' strength.
Aside from that, artificial intelligence is not prone to errors linked with a lack of concentration and attention. Using AI algorithms, these satellites can calculate the likelihood of an occurrence, as well as its course and effects.
As a result, satellites and spaceships are extraordinarily difficult to build. For the manufacturing process to be successful, a large number of repeated actions must be performed with great accuracy. As an added precaution, the majority of them should be performed in isolated rooms to avoid the possibility of tiny living forms contaminating elements of the eventual device.
The space agency NASA reports that many of them can survive in clean rooms, eating cleaning chemicals, and even in space, where they can feed on cleaning agents. Astrobiological contamination of the Moon, Mars, and other celestial planets can skew study results on extraterrestrial organisms.
As a result, companies have recently begun using artificial intelligence algorithms to assemble spacecraft in order to minimize contact with people. The use of artificial intelligence not only eliminates the possibility of biological contamination but can also significantly speed up production processes.
Systematic evaluation of operations by artificial intelligence (AI) aids in the optimization of a wide range of processes. To increase productivity in production, it is equally important to eliminate the human element. During assembly lines, the most time-consuming and error-prone operations are taken care of by collaborative robots, or "cobots".
Data Annotation is in high demand due to the high demand for AI products.
While training datasets are required for all AI technologies, machines cannot learn from raw data in its original form. As a result, raw datasets must be prepared using a variety of data annotation methods. Because this is a time-consuming process, companies developing AI products frequently outsource it to third-party service providers, who can annotate millions of images and videos.
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For example, companies must find all of the data annotators they need to complete all of the work. To ensure that all of the work is completed correctly and on time, there should be some sort of quality assurance process implemented.
We must also keep in mind that data annotators require training in terms of what they must do and how to use specific software. One of the benefits of hiring such service providers is that the company providing data annotation services will usually be able to resolve these issues.
Artificial Intelligence (AI) Will Play a Major Role in Future Space Exploration
I believe that as time goes on, our urge to explore the final frontier will only grow stronger and more intense. Many people are interested in how recent improvements in AI-based skills could be applied to future space exploration activities. Spacecraft can detect and follow scientific phenomena using AI technology because they enable onboard decision-making. With the help of these technologies, the spaceship can respond to occurrences by doing in-depth studies. The use of a decision-making system aboard a spacecraft could also increase access to dynamic environments such as comets.
Several of the AI technologies outlined above will be used, and many more will be created over the coming few years to aid with this mission and many others.