AI use case for exploring the Universe

Artificial Intelligence is venturing at an unprecedented pace in Universe exploration. The market value is a staggering 2 billion dollars and growing every second. The universe is full of potential-stars that can harbor life or planets that can be habitable. There are innumerable stars, and humans cannot study each one of them. We need a better, faster, and more efficient solution to take care of all the tedious tasks. This is where Artificial Intelligence comes into the picture. AI has the power to make interstellar and interplanetary travel a real possibility. The SoundSee AI algorithm and advanced acoustic sensors by Bosch are notable innovations in the field. 


As new artificial intelligence systems emerge, vast quantities of information can be processed, and challenges in human research are narrowing. The data streams from sources like radio telescopes can be rapidly analyzed because of Machine Learning. Technology can take on an entirely new role in assisting cosmologists and learning about the universe in the coming years. This article investigates the possible use of AI in space exploration. 


Table of Contents 


  • AI and Universe
  • Use Case
  • Future Potential
  • Conclusion


Before going ahead, it is recommended to check out Artificial Intelligence certification programs available to understand the vast field of technology. 


AI and Universe


Private organizations and government agencies are working to uplift barriers in the way of learning more about space. Although the universe is a limitless expanse of an almost empty void, yet there is a potential of real danger in the form of earth-shattering meteors, cosmic radiation, and colossal galactic events. After better understanding the risks and the environment, there is a chance to learn more about outer space. It is not realistic for humans to explore every facet of space; that’s why governments are setting up AI and ML programs to search for potential risks. The use of acoustics in universe related problems identification is picking up momentum. Astronauts are trained to deal with extreme space environments under no gravity conditions because the universe is full of danger. That’s why AI is focusing on identifying and troubleshooting problems.


Researchers with AI certification are also using artificial intelligence in charting unmarked supernovas, galaxies, black holes, stars, and studying cosmic events that might go unnoticed if not for machine learning algorithms. In astronomy, AI offers the ability to recognize and classify rocky worlds with parallel features as of our solar system. Exoplanets can be discovered by recognizing light patterns in the atmosphere. Along with this, scientists can determine the planet’s consistency in terms of life elements such as methane and oxygen. Deep Learning can be used to classify galactic images and simulate galaxy formation. All of this is possible because of AI’s consistently grading capacity. 


Use Case


For Astronauts: Being an astronaut is tough because of anti-gravity, impending threats, and dwindling positions in a stranded surrounding. Artificial Intelligence is worthy of giving the astronauts a moment of respite and taking some of the load off their feet. A noteworthy use is of the CIMON- the flying robot that can make the lives of astronauts easy and entertaining using a touch screen and voice commands to communicate. Apart from this, there are flying machines being developed that use AI and machine learning to help astronauts with routine tasks and identify faults in machinery on the space station. These robots are dexterous, can record operating sounds continuously, and send them for evaluation. The AI-based sound analysis evaluates the performance of critical machines by detecting irregularities in their noise patterns. This way, astronauts can troubleshoot before the problem arises.


Universe Exploration: The role of AI in exploring the universe is unprecedented. It has helped discover stars, galaxies, and two new planets in our very own solar system. AI has also given birth to new theories. Kepler-90i, an exoplanet, was discovered by NASA using machine learning. AI has been put to good use by training the model with the help of neural networks to identify recorded signals. An AI robot can identify patterns in astronauts’ health behaviors and provide them medical help when needed. When reporting systems are unable to respond in deep space missions, AI can play a pivotal role. Besides facial and speech recognition, deep learning techniques can be used to perform redundant and dangerous tasks. Another application is that outer space is self-driving spacecraft. Machine learning algorithms would have to be trained by spacecraft operators to steer clear of objects. Thus, there are numerous use cases where AI can be implemented. 


Future Potential


Artificial Intelligence has compelling advantages in Universe exploration. The advantages are not limited to data processing but have different sets of biases to discover things a human can misinterpret or overlook. As it is devoid of biases, AI can question fundamentals about the universe. This could unlock the biggest mysteries of the universe, such as the effects of gravitational waves or the prevalence of dark matter. Computers can miss a certain thing, but that happens in a systematic and less biased manner. 


The earlier research in AI-augmented astronomy has not been sensational but encouraging, such as employing neural networks for hunting with gravitational lenses. An AI program analyzed over 21,000 images in just 20 minutes to find 761 potential matches in the dataset. These were reduced to 56 high-probability finds by AI developers. One-third of this subset is expected to be the real observations of gravitational lenses. Human input is required for the operation of the neural network, but it manages to find a probable lens at a rate of around one per minute with a high false-positive rate. The discoveries in the field were slow, but AI can successfully push the limits. 




As stated above, artificial intelligence is a promising way to explore the universe. Neural networks can uncover phenomena that need human approval. There is a long way off before fully autonomous systems can be developed. Thus, the demand for Certified AI developers is enormous. If the universe fascinates you, then it is the right opportunity to go for AI certification.