Augmented Intelligence is an attempt to advance towards artificial intelligence. In this modern age, experiments are being carried out to teach algorithms to machines, as well as major technology companies in the field of machine intelligence. They are also investing. Although human beings are still far from the creation of real artificial intelligence. But in this regard, experiments are being carried out continuously.
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| Identification of the dark matter |
In recent efforts, physicists have taught machines algorithms to obtain useful information about the quantum behavior of a particular type of superconductor, which experts have been trying to obtain for a long time. Researchers have developed a high-temperature superconductor with the help of artificial intelligence
Discover the secrets hidden in the pictures of high-temparature super conductor.
According to Yoon Ahkum, a professor at Cornell University in New York, this study is the first to show that successful experiments with mechanical intelligence have been performed to understand quantum meters. He added that in the future, machine intelligence could also be used to understand the quantum spin thinner, which could be useful in building the highest quantum computer of all time.
Recent research has focused on superconductors, through which electricity can be transmitted without any electrical resistance. However, this is possible at a temperature of absolute zero, which is close to minus 269 degrees Celsius.
A team of physicists performed experiments on Q-yats, which are sandwiches of copper oxide and become superconductors at minus 140 degrees Celsius. Scientists say that by understanding the reasons why Kuper Tess became a superconductor, we will be able to create engineering materials that would be useful in making superconductors working at almost room temperature. But Cuprates work strangely when they are in a state of pseudogap (pseudogap is a state of very low energy involving only a few electrons) and this condition occurs when this superconductor occurs.
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| Identification of the dark matter. |
. Pseudogap is formed due to the interaction between electrons and atoms, and it is very difficult to know anything about it due to its random state. Some physicists call the state of Cupertus a "dark matter." Nevertheless, describing the pseudo-gap would be the first step towards understanding superconductivity.
Identification of "Dark Matter"
And because of its random condition, it is difficult to know anything about it. Some physicists call the state of Cuprites a "dark matter." However, describing the pseudo-gap would be the first step toward understanding superconductivity. Recently, experts have discovered some traces of tidal wave in the pseudo-gap that can be called electron-density waves. There is a difference of opinion. A group of experts calls these electrons "strong interactions." The other group sees them as waves and calls them "weak interactions."
To find out more about their configuration, a team of experts designed a "neutral network, which came up with the idea of the structure of the human brain." So they reviewed pseudogap images. The scans were taken in a microscopic tunnel that looks mostly random to the human eye, as these materials are naturally random and the slight noises that occur during measurements make it difficult. Thus, through machine intelligence, algorithms can learn to distinguish between them in a way that is not possible for the human eye.
To teach the algorithm, the team provided several types of neural networks, including wave sequences and various theory total predictions. When machine intelligence learned to distinguish between these examples, the original data of the pseudogap of Cuprates was provided. In more than 81 experiments, the algorithm repeatedly identified electron-particle-like patterns that were obtained in 1990. Sherbrooke University According to physicist Andre Marie Tremblay, in this example, the details are more detailed than in the conventional wave.
Milan Allen, a physicist at the University of Leiden in the Netherlands, says that the nature of patterns is important in describing why they appear. It will be helpful to understand the conductivity. Some experts say that the nature of the pseudo-gap will continue to be debated in the future. Some experts say the research is impressive. Using such experimental data to teach machines algorithms is another challenge.
But the algorithm can only tell the difference between the hypotheses taught, instead of discovering a completely new pattern on its own. There are, in which light waves can be scattered here and there and shown its structure in three dimensions (3D). It takes months to get the pattern in the traditional way. According to Professor Kim, the journey of teaching machine intelligence to machines has just begun and we are facing several steps to understand quantum.