According to foreign media reports, scientists at the University of Toronto in Canada recently developed a machine learning software based on the algorithms of Google and Netflix. Researchers believe that this machine learning software can be used to discover alien life in outer space. It is understood that this powerful software is 1000 times faster than the traditional method of predicting whether a planetary system has a life. Researchers hope that the software will be available in a variety of systems, providing valuable information about exoplanets and determining their stability and life livability.
The software uses machine learning technology, which is also a kind of artificial intelligence technology, the computer can self-learn according to human-written programs and constantly supplemented data. Advanced systems can teach themselves how to handle different data and continually improve themselves. Scientists at the University of Toronto in Canada use this technology to find distant planetary systems that may exist in life. Their research results are published in the Journal of Astrophysics.
The head of the research project, Dan Tamayo, a scientist at the Planetary Science Center of the University of Toronto, Scarborough, said: "Machine learning solves a major problem in the field of astrophysics with its powerful functions. It can predict whether the planetary system is stable. â€
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