The abilities of artificial intelligence can go into space.
Space exploration has never stopped, and the moon as the closest extraterrestrial planet to humans is the preferred location for many scientists to explore. However, due to human limitations, the current understanding of the moon is poorly understood. Now with artificial intelligence, the results will be quite different.
With the development of cutting-edge technology such as artificial intelligence, human space exploration has ushered in a major boost. The moon, the closest extraterrestrial planet to humanity, will also become the main venue for human space activities in the future.
In recent years, a sci-fi movie has a good work called "The Moon."
The film discusses the challenges and loneliness that future technologies such as cloning and artificial intelligence bring to humanity, and the background of the film is set on the moon. In the film, the moon is a testing ground for human and artificial intelligence technologies. Conspiracy and ethical challenges based on technical interests also occur on the lonely and distant stage of the moon.
A lot of stories about AI happen in the universe, perhaps because of the propositions of the universe, life, and AI, which can bring the desire of human exploration and the sense of ignorance in front of the vast and eternal. Even if the resonance of the emotional level is abandoned, the moon and AI have some connection with reality.
On the day when the moon is the most round, we might as well look at how AI brings people closer to the moon. Maybe one day in the future, we can really work and settle on the moon with the help of AI.
After all, the charm of the future comes from uncertainty.
Deep learning to process lunar images and data
The most direct link between artificial intelligence and the moon should be the FDL series of frontier development laboratories proposed by NASA NASA.
In this plan, NASA hopes to use the technological development of artificial intelligence to deal with the various issues involved in space exploration. Especially important is the use of artificial intelligence to analyze the large amount of data currently collected by NASA. After all, so many satellites, planetary probes, and astronomical telescopes are recording and collecting data at any time. The workload of processing this data is far from human. Can bear.
This includes the processing of the lunar images and other data taken.
By building a deep learning system, NASA can analyze a large number of multi-angle, long-term lunar 3D images. A more complete and accurate database of the surface topography of the lunar surface can be sketched, and the trajectory between the earth, the moon and the sun can be predicted more accurately.
The main significance of this is that the speed of the moon's revolution causes the moon to have a large area that is hidden in the shadows, which brings great difficulties in studying the moon and further landing on the moon. Learning and self-inference of existing data through techniques such as neural networks can make it possible to explore the lunar and lunar poles in the shadows.
Another necessity is that NASA has a large number of satellites simultaneously shooting lunar image data, and the probe on the lunar surface returns accurate data. However, these data are scattered and large, and it is difficult to manually perform integrated analysis tasks. Therefore, using deep learning techniques to process data is the most appropriate choice.
The application of artificial intelligence on lunar data is not only a forward-looking research value, but has a very specific application scenario. For example, it helps to estimate the optimal landing point of the lunar probe, and uses the trajectory calculation to estimate the maximum extent that the lunar rover accepts solar energy, thereby enhancing its service life, inferring high-precision lunar environmental data, and helping scientists analyze lunar geological information.
In the future, once the moon is reopened, the high-precision map of the moon drawn by artificial intelligence will be more important.
NASA's approach to AI processing of lunar data is mainly based on cooperation with AI giants such as Intel. This model may be well expanded in China in the future.
Artificial intelligence in the lunar exploration journey
The above mentioned the moon landing, but we all know that the human re-launch of the moon has not been put on the agenda, because there are a lot of security risks and cost problems in the manned space aviation. The constraints of these conditions have made most countries dare not rashly imitate the human landing on the moon in an extreme political and economic environment. It can be said that it is a pity.
In the exploration of manned space and planet landing, artificial intelligence is playing an increasingly important role.
For example, the most important part of spacecraft launch and space station establishment is risk control. Rocket launches and space station maintenance have so far been highly dangerous jobs. Any tiny flaw can cause an extremely serious accident.
One of the important sources of danger is that equipment such as aerospace engines are extremely complex and cannot be monitored and trouble-shooted in real time. Due to the time and step break between the inspection and launch, the accident problem cannot be completely eliminated.
There are already aerospace experts who use AI technology to build rockets and the overall accident inspection system for the space shuttle. Through the anthropomorphic knowledge network map mode, a perceptible and controllable spacecraft safety matrix is ​​established to monitor equipment safety in the first time.
This is called the active safety monitoring system of spacecraft, and the behind-the-scenes hero that can make this system universal in the future comes from the data perception and overall learning ability brought by artificial intelligence.
In addition, the use of artificial intelligence to build an astronaut's auxiliary system is also an important topic.
In the universe, the senses of astronauts are subject to a large number of environmental restrictions and cannot accurately sense the external as well as the earth. At present, the relatively mature field is the intelligent cockpit management system. It can learn from past tasks and accident experiences through machine learning and provide more optimized options when astronauts need help.
Of course, "nanny-type artificial intelligence" like Iron Man's armor does not exist, but it is gradually becoming possible to monitor spacecraft, spacesuits and docking systems through intelligent systems.
Another important scenario is the planning and scheduling system for astronauts landing on other planets. For alien landings, the biggest danger comes from the inconsistency in the expected landing scenario and in reality, or other unknown factors. What is possible here is the ability of neural network technology to perceive and judge fuzzy environments. Helping astronauts adjust the landing plan in real time by obscuring the connection between the perceptual data and the large database is one of the key help that artificial intelligence may provide when landing on an alien.
In fact, there are still a lot of artificial intelligence in the field of aerospace. Here are just some of the most likely problems encountered under the proposition of landing on the moon. Exploring the unknown must be based on safety. This is an important help for artificial intelligence to bring space exploration.
Using artificial intelligence to understand the impact of the moon on the earth
Outside of the field of how humans go to the moon, artificial intelligence may also help in reverse, let us know how the moon affects us.
We know that according to many data analysis, the influence of lunar gravity on the earth does exist. But how big is this impact, how strong it is, and where it is frequent, the scientific community is inconsistent.
Some people say that lunar gravity can be perceived by ordinary people. For example, epilepsy, leprosy and other diseases have a higher incidence rate around the full moon (it is said that the famous wolf legend has been produced). It has also been said that earthquakes, volcanic eruptions and other disasters are closely related to the Earth's magnetic field. Even many professional data tests confirm this claim.
Of course, it is more widely recognized that the influence of lunar gravity on tides and fish schools is real. Even more intense than expected. Exploring the effects of lunar gravity on the Earth has a very direct impact on the maritime and fishing industries.
In this context, artificial intelligence technology to integrate environmental data such as tides, earthquakes, volcanoes, and fish, migratory birds and other biological data, together with moon phase data, has become an important topic.
At present, NASA and other mainstream astronomical institutions in the world have established a series of lunar gravity and marine environment databases. The analysis of these databases through big data + neural networks has become the main research tool for scientists and enterprise service organizations.
Although the real impact of the moon on the earth has yet to be further tested, the provision of high-precision, instant-oriented navigation information services has emerged through data such as moon phases, tides, and hydrology.
We are looking at the world better through data + AI, and the moonlight is always a landscape we have not missed.
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