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The sun is the most The complex mysters could be resolved thanks to Artificial intelligence. I am August 20, Ibm and it NASA announced the launch of surya, a Foundation Model for the sun. After being entered big datasets, this tip-shot, this you are seizing of the usual and predicting with our star you threatened as an abstron of orbits and Infrastructive affections on the ground. I am
Soreya was entered with nine data collected by Issallics observed (sop), a tool that has orbed to the image on 2010, taking the images of the sun 12 seconds. The SDO captures the sun observations to different Electromagnetic Electromagnetic Electromagnetic embies to estimate the temperature of the star layers. It also takes magnetic measures of the magnetic field to understanding that energy move through the star, and to predict solar storms.
Historically, interpreting this vast quantity of different and complex data has been challenge for heliophysicians. To address this challenge, Ibm says Quote of the Digital SOP data to create a dynamic virtual joint of the dynamic virtual ribbon that was written when they are wrapped and more easily studied.
The process began with the unification of the various forms of data formed in the model, which enable to process consistently. Next, a long vision line was employed in detailed images of detailed images of dolqual images and relationship identifying between their components, regardless of their distance.
The model performance was optimized using a mechanism called to the spectral use to up to 5 per cent to filter the rumor in the quality of the quality of the quality of the quality.
His developers say this design gives a significant advantage to the other similar advantages of the data that is powered for them, hersela can learn directly from a raw data. This allows fast to fast to different activities and provide results in the less time.
During the test, Surya showed their versatility integrating data from other instruments, as the Solar Parker survey and the solar and heliosphheric observatory (soho), two other spacecraft that observe the sun. Surya also tried to be effective in different predictive functions, including flare activity and the velocity of the solar wind.
According to IBM, the traditional forecast patterns can only predict a flare an hour in advance based on the signal detected in the sole specific regions. In contrast “, surya provided a two-hour bookmates that you need to provide a model of the model on a single-sorting improvement,” business has said in a statement. I am
Nases had model had been with assifunch, his architecture is adaptable to different fields, from the preferred science to the floor of the land. “Soup a foundation pattern to analyze the helioposica of NASA, we go to analyze the solemnities of the sun”, says Kevin Murphy, “Director of the data, in a statement. I am “This empowers model understands the understanding of how much the solar activity impacts critical systems and technologies that we all rely on the ground.”
The risk is placed by abnormal solar activity is not minor. A major solarism earthy pupils by gloobal telecommunications, and disturbed an electric navigation, and electrical lofty, satellite, and radio transmission.
Andrés Moñoz-Jaramillo, a sum of research in San Antonio, Texas, Going Scientist on Sury’s goal project for these advice as possible. “We want to give up as long as possible. Our hopes are that the model taught all the critical way to the time lost all and we can extract your star”.
This story has originally Wired in Spanish and has been translated by Spanish.