A new AI is currently being developed. Its creators said that the upcoming artificial intelligence could specifically enhance NASA's captured images of the Sun.  

New AI Enhances NASA's Sun Images To Improve Solar Studies Of Space Experts
(Photo : Photo by SDO/NASA via Getty Images)
In this handout image provided by NASA, the SDO satellite captures a ultra-high definition image of the Transit of Venus across the face of the sun at on June 5, 2012 from space. The last transit was in 2004 and the next pair of events will not happen again until the year 2117 and 2125.

Once the new technology's efficiency is proven, the AI's engineers explained that space experts could use it to improve their solar studies. 

Machine learning was confirmed by a new study titled "Multichannel autocalibration for the Atmospheric Imaging Assembly using machine learning," which was published by the journal Astronomy and Astrophysics. 

"Solar activity plays a quintessential role in affecting the interplanetary medium and space weather around Earth," said the involved scientists. 

"Remote-sensing instruments on board heliophysics space missions provide a pool of information about solar activity by measuring the solar magnetic field and the emission of light from the multilayered, multithermal, and dynamic solar atmosphere," they added via Astronomy and Astrophysics.  

New AI Makes NASA's Sun Images More HD? 

According to Phys.Org's latest report, NASA and other space agencies are having a hard time capturing very accurate images of the Sun.

Space researchers explained that most solar telescopes find it difficult to capture HD photos of the solar system's star efficiently.

New AI Enhances NASA's Sun Images To Improve Solar Studies Of Space Experts

(Photo : Photo by NASA/Newsmakers)
The sun's coronal loops are shown in this photo, released September 26, 2000, taken by special instruments on board NASA's Transition Region and Coronal Explorer (TRACE) spacecraft. Fountains of multimillion-degree, electrified gas in the atmosphere of the sun have revealed the location where the solar atmosphere is heated to temperatures 1000-times greater than the sun's visible surface.

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They added several issues since solar telescopes are usually exposed to never-ending intense sunlight and solar particle streams. Because of this, the device's sensors and other sensitive lenses usually degrade over time. 

This is where the new artificial intelligence comes in. Since they discovered the issues appearing in NASA's solar telescopes and other similar space technologies, the involved researchers decided to look into the use of machine learning or AI. 

They added that their innovation would depend on identifying solar flares offered by AIA (Atmospheric Imaging Assembly), the space agency that studies multiple wavelengths of light. 

"This was the big thing. Instead of just identifying it on the same wavelength, we're identifying structures across the wavelengths," said Dr. Luiz Dos Santos, a solar physicist at NASA's Goddard Space Flight Center. 

Other Details Of the New Solar Telescope AI

The developers of the new AI for NASA explained that they would train the machine learning algorithm to identify solar structures. 

They added that it also needs to have the ability to compare solar flares using AIA Data. To make this a possibility, researchers need to integrate images captured by sound rocket calibration flights into their artificial intelligence model. 

Experts added that they would also check if their innovation could identify the correct calibration needed for more accurate Sun images. 

For more news updates about artificial intelligence and other similar innovations, always keep your tabs open here at TechTimes.  

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Written by: Griffin Davis

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