Five Nanyang Technological University (NTU) students have achieved the next best thing to being on the International Space Station (ISS) – their machine learning software is going up to the home of astronauts for three months later this year.
The students will be running the show from their laptops – testing the software, which was built to predict hardware disruptions on the ISS and satellites. Such disruptions can cause these space vehicles to go off course or crash, in the worst outcomes.
Called single event upsets, these hardware disruptions tend to afflict sensitive electrical components in space, such as memory devices on semiconductors.
The disruptions happen when highly charged particles from the sun or nearby constellations strike such sensitive electronics.
هذه القصة مأخوذة من طبعة July 01, 2022 من The Straits Times.
ابدأ النسخة التجريبية المجانية من Magzter GOLD لمدة 7 أيام للوصول إلى آلاف القصص المتميزة المنسقة وأكثر من 8500 مجلة وصحيفة.
بالفعل مشترك ? تسجيل الدخول
هذه القصة مأخوذة من طبعة July 01, 2022 من The Straits Times.
ابدأ النسخة التجريبية المجانية من Magzter GOLD لمدة 7 أيام للوصول إلى آلاف القصص المتميزة المنسقة وأكثر من 8500 مجلة وصحيفة.
بالفعل مشترك? تسجيل الدخول
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