Bangkok – After the final pitching event, the AI Space Challenge program concludes its first-year result. The team named “Ad Astra” from Nanyang Technological University has won the grand prize and will deploy their followed development version of their AI/ML algorithm on the Ice Cubes AI Box platform aboard the International Space Station.
The final pitching event took place in Bangkok, Thailand at the Future Tales Lab by MQDC, a futurology center to study, analyze, and identify signals and drivers of change. All 9 finalists participated both on-site and online, pitching their latest idea after a series of workshops, consultations, and real AI Box data hands-on experience.
Team “Out of This World” and “Blue Magpie” followed by being awarded “Runner-up prize” and “BestTechnical Award” sequentially. Out of This World will be awarded consultations and a mentoring package provided by the sponsors, aimed at supporting further development of the idea. Blue Magpie was awarded for the demonstration of highly technical feasibility and will also be supported.
- “Ad Astra” Nanyang Technological University – Grand prize, will be developed and being deployed on Ice Cubes AI Box aboard the International Space Station
- “Out of This World” Sirindhorn International Institute of Technology – Runner-up prize
- “Blue Magpie” National Central University & National Taipei University of Technology – Best Technical Award (sponsored by Geo-Insights)
All three winners will also collect specially designed trophies. Designed to represent the democratization of access to space, trophies have a familiar manner of a CubeSat or a cube payload module. This is to encourage the young generation to become a space explorers.
From Nanyang Technological University, Singapore, this team plan to incorporate other environmental data — leading to performance enhancement. Upon implementation, the improved reliability of memory devices will create a digitally safer environment on the ISS.
Team includes Gupta Archit, Lim Meng Wee Deon, Sim See Min, Eng Chong Yock, and Rashna Analia Ahmed. Assisted by Lim Wee Seng from Satellite Research Centre, Nanyang Technological University.
Out of this World
A team from Sirindhorn International Institute of Technology, Thailand, is using deep learning algorithm with filtered magnetic field data and ISS position at a corresponding time so that they could autonomously determine the position.
Team includes Sirada Rungruengsakorn, Sivakorn Seinglek, Harit Adisaipanya, Noppawee Teeraratchanon, and Suvichak Santiwongkarn. Assisted by Asst. Prof. Dr.Teerayut Horanont.
Combining members from the National Central University and the National Taipei University of Technology, Taiwan. The team Implement air pollution warnings on board the space station, and furthermore, also provides standard threshold warnings for dust-free space.
Team includes Po-Han Hou, Wei-Chih Lin, Hung-Chun Hou, and Yu-Hao Huang. Assisted by Prof. Jih-Hung Shue from the National Central University.
This is the end of the competition for this year but also the being state of having an accessible space AI/ML experiment module. AI Space Challenge competition has been designed to encourage the young generation from different academic and aesthetic backgrounds to take part in a new space age. Four companies, Ice Cubes, Zenith Intellutions, Gran Systems, and Space Zab partnered together with sponsoring support from Geo Insights, the AI Space Challenge mark a crucial milestone for many futures private space program for students.
The program also needs to show appreciation to all of its partners. Spaceth.co, Panyapiwat Institute of Management, Faculty of Information Technology at KMITL, Future Tales Lab by MQDC, and The Standard.
Following news and update on the next developing stages will be founded on AI Space Challenge’s official website. The program also has a high potential of being organized again soon.
About AI Space Challenge:
The main objective of the challenge is to give students and universities from participating countries the opportunity to incorporate space into their STEM education curricula
The challenge will ask students to utilize the world’s smallest AI Supercomputer for Embedded and Edge Systems located directly on board the International Space Station (ISS), together with a number of different built-in sensors, allowing for collection, analysis and processing of various data gathered directly in a space environment by using self-created algorithms.
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