The idea of parallel universes has captivated the imagination of scientists, novelists, and screenwriters for decades. Scientists today are working on calculations for the creation of new universes. However, the energies needed for monopole creation are well out of reach even for the most powerful and expensive machines. Child universes can result from temperatures of 1,000 trillion degrees. That's out of range for us but perhaps not to a more advanced civilization. Impractical for the moment, they remain theoretically possible nonetheless tasks for the technology of future decades. Research shows that creating a parallel universe is now possible with an AI lab. Let's explore the role of AI in space exploration.
Artificial intelligence accompanies astronauts on their vigorous space journeys and helps in executing space missions that would be unthinkable if only reliant on human capabilities. AI has proven its great potential and is a game-changer in space exploration such as charting unnoted galaxies, stars, and black holes, and studying cosmic events, as well as communication, autonomous starcraft navigation, monitoring, and system control.
Countries across the globe have been running in the race to explore space for a century now. Remarkably, there is no victory to it. As nations send more rockets and satellites to outer space, they get more information about the floating components. Like many other industries, the space exploration process is also adopting Artificial Intelligence and robotics to fast-track its mission. This leads us to great lengths and never explored places.
The use of AI in space exploration is valued at a staggering US$2 billion and still growing. Both human and scientific exploration missions are impacted by AI developments. In 2020 and beyond, the mission to explore the moon, Mars, asteroids, and comets is set by scientists. These can be fast-tracked and advanced with the help of technology. Some of the applications of artificial intelligence in space missions are autonomous location tracking, navigation and map-building, SLAM technology, fault detection, isolation and recovery methods, image processing, object identification, feature detection, task planning, and scheduling. Robots help the space exploration process through the mechanical design of planetary rovers, the mechanical design of space manipulators, actuators and sensors of space robots, end-effector/tools of space robots, reconfigurable robots, and robot mobility. Not just space researchers and scientists, but even governments across the globe are showing interest in adopting AI and robotics to become powerful.
NASA is planning to make communication networks more efficient and reliable using cognitive video, which can pick the 'white noise' areas in communication bands and use them to transmit data. The features help minimize delay times and maximize the use of limited telecommunication bands available. NASA is also planning for more advanced missions in the future to explore deep space. The space organization is planning to design more autonomous spacecraft and landers, so that decisions can be taken on-site, removing delays in communication relay times. NASA is also making a move along with Google to train its expensive AI algorithms to effectively soft through the data from the Kepler mission to look for signals from an exoplanet crossing in front of its parent star. Gathering the data from NASA, Artificial Intelligence Data Analysis (AIDA) project, funded under European Horizons 2020 framework is developing an intelligent system that will read and process data from space, aiming to discover new things, reveal anomalies, and recognize the structure. NASA's program to explore Mars has AI applications that might mark a milestone in the AI in space timeline. The AEGIS (Autonomous Exploration for Fathering Increased Science) initiative took off in 2020 and is set on Mars and is helping the Rover with cameras and specimen collection.
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