NTU students to send machine learning software to International Space Station

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SINGAPORE - Five Nanyang Technological University students have achieved the next best thing to being on the International Space Station - their machine learning software is going up to the home of

astronauts for three months later this year.

The disruptions happen when highly charged particles from the sun or nearby constellations strike such sensitive electronics. The students see the predictive solution software as their contribution to protecting the trove of space experiment data that is electronically stored in the ISS. The space station is a giant orbiting lab for astronauts to regularly conduct research in areas such as human health and growing crops in space, as well as biomedical studies.

The other members of the NTU team are third-year business student Sim See Min, 22, third-year mechanical engineering student Deon Lim, 24, and second-year electrical and electronic engineering student Rashna Ahmed, 21.She said:"Archit was more familiar with coding and algorithms. Chong Yock, Rashna and Deon are more familiar with electrical engineering and physics. I helped to add value during the pitching part of the competition.

During the competition, which started in October last year, the NTU team showcased Cremer's potential to identify and predict incoming single event upsets using data from a satellite launched by the University of Stuttgart in Germany.

 

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