Abstract:Participants are required to be MSOM members and the use of Cainiao data and Tmall data is limited ONLY to draft and revise the academic papers (the “Papers”) submitted to the Competition under the rules of the Competition during a specific period (the “Competition Period”), and to revise the Papers after the Competition period is expired.
Abstract:The AI Competition for Intelligent Aviation, co-organized by Xiamen Airlines and Alibaba Cloud in June 2017, aims to enable automatic and fast flight adjustments and quick flight schedulerecovery to shorten flight delays and reduce operating costs of airlines on the premise of meeting various practical constraints in case of bad weather, aircraft malfunctions and other emergencies. This competition marks the first cooperation between Xiamen Airlines and Alibaba Cloud in the form of a Tianchi competition, and an important attempt for big data and artificial intelligence to tap into the aviation field.
Abstract:Short-term precipitation forecasting such as rainfall prediction is a task to predict future rainfall amount based on current observations. It has been a very important problem in the field of meteorological service. An accurate weather prediction service can support casual usages such as outdoor activity and even provide early warnings of floods or traffic accidents.