The most sun Complex mysteries Couuld soon be resolved thanks to artificial intelligence. On August 20, IBM and Nasa No Normond The launch of Surya, a Foundation model For the sun. Having been trained on large solar activity data, this AI tool aims to deepen the understanding of humanity of solar time and precision predict solar eruptions – cases of electromagnetic radiation emotional by our star that the two astronouts in the orbit and the infrastructure of communication on earth.

Srya was formed with nine years of data collected by the NASA solar dynamic observatory (SDO), an instrument that has orbited the sun since 2010, taking images aloud every 12 seconds. The SDO captures sun observations at different electromagnetic wavelengths to estimate the temperature of the stars. Precise measurements of the Magnetic Field of the Sun are also needed – essential data to understand how energy moves through the star and to predict solar storms.

Historically, the intervention of this large amount of different and complex data was a challenge for heliophysicists. To take up this challenge, IBM says That the developers of Surya used SDO data to create a digital sun twin – a dynamic virtual replica of the star which is updated when new data is captured and which can be manipulated and more easily studied.

The process began by unifying the different database formats introduced into the model, making it to treat them consistently. Then, a long-range vision transformer was used by an architecture-Ai which allows a detailed analysis of images with very high voice and the identification of relationships with their components, whatever their distance.

The performance of the model was optimized using a mechanism called Gatting Spectral, which reduces the use of memory up to 5% by filtering noise in data, thus engaging the quality of the information processed.

More precise preaching in less time

Its developers say that this conception gives Surya a significant advantage: unlike other algorithms that require in -depth labeling of the data which is powered to them, Surya can directly learn raw data. This does it to adapt quickly to different tasks and provide reliable results in less time.

During the tests, Surya demonstrated its versatility in the integral data of other instruments, such as the Parker solar probe and the solar and helospheric observatory (SOHO), two other spacecrafts that observe the sun. Surya has also proven to be effects in various predicative functions, in particular by predicting the activity of thrusts and the speed of the solar wind.

According to IBM, traditional prediction models can only predict one hour escape in advance based on signals detected in specific sun regions. On the other hand, “Surya has provided a two -hour advance using visual information. The model is considered the first to process a warning of this type. During early tests of the model, the team declared having achieved an improvement of 16% of the precision of the escape of solar, a marked improvement compared to the existing methods”, the company “declared the company in an A statement.

NASA stresses that, although the model has been designed to study Helophysics, its architecture is adaptable to different fields, from planetary science to the observation of the earth. “By developing a foundation model formed on data on NASA Helophysics, we facilitate the analysis of the complexities of sun behavior with speed and precision,” said Kevin Murphy, Director of Data Science at NASA, in a statement. “This model makes it possible to emphasize the impact of solar activity more broadly on the systems and critical technologies on which we all count here on Earth.”

The risk posed by abnormal solar activity is not a minor. A major solar storm court of world affectory telecommunications, collapse electrical networks and disturbing GPS navigation, satellite operations, Internet connections and radio transmissions.

Andrés Muñoz-Jaramillo, solar physicist at the Southwest Research Institute in San Antonio, Texas, and the main scientist on the project, stressed that the object of Surya is to maximize the accounting period of these possible scenarios. “We want to give the earth as heavy as heavy as possible. Our hope is that the model has learned all critical processions behind the evolution of our star in time so that we can extract usable information.”

This story initially looked at Cable EN ESPAñol and was translated from Spanish.