Alibaba Cloud Global AI Innovation Challenge

Challenge Overview

As cloud and AI technologies are shaping all industries globally and driving numerous innovations, Alibaba Cloud has launched the Machine Learning Platform for AI (PAI) service to empower AI developers and innovators by lowering technical barriers and development costs.

The Alibaba Cloud Global AI Innovation Challenge is an open competition for global AI developers, researchers, startups and solution providers to make and/or enhance their products or projects based on machine learning using PAI.

Prizes and Benefits

1st Place: 1 Team

  • $20,000 Cash Prize (Pre-Tax)
  • $5,000 Alibaba Cloud Credits
  • $5,000 PAI Credits

2nd Place: 2 Teams

  • $10,000 Cash Prize (Pre-Tax)
  • $4,000 Alibaba Cloud Credits
  • $4,000 Alibaba Cloud Credits

3rd Place: 3 Teams

  • $5,000 Cash Prize (Pre-Tax) 
  • $2,500 Alibaba Cloud Credits 
  • $2,500 PAI Credits

Innovation Award: 10 Teams

  • $1,000 Alibaba Cloud Credits
  • $1,000 PAI Credits

Requirements for registration

  • Participants must have an account on Alibaba Cloud International Site before registering for the challenge.
  •  In order to get a PAI coupon and start using PAI, you are required to add a valid payment method to your account. (If you are a university/college student and do not have a valid payment method, please get student verification before claiming the coupon. )
  •  A team may consist of one or more participants. The coupon and award will be only given to one account for a team and cannot be separated.

Tasks and Topics

The challenge is open to all developers, startups and researchers, and its tasks are:

  1. Use machine learning in your products/projects; and
  2. Use Alibaba Cloud Machine Learning Platform for AI (PAI) to train your models (assessed in the 2nd round only).

The challenge welcomes innovative projects powered by machine learning in any field or industry. The following topics are for reference, and other topics are also encouraged. The choice of topic/industry will have no impact on your results.

Deadline: 16 October 2020

For more info, visit the official link

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