Crowdsourcing AI to solve real-world problems
AIcrowd enables data science experts and enthusiasts to collaboratively solve real-world problems, through challenges.
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Featured challenges
34 days left NeurIPS 2019 : MineRL Competition
Sample-efficient reinforcement learning in Minecraft
10 Travel Grants
Misc Prizes :
1x Titan RTX GPU
34.1k
886
143
NeurIPS 2019: Learn to Move - Walk Around
Reinforcement Learning on Musculoskeletal Models
3 Travel Grants
2 Authorship/Co-Authorship
15.7k
256
719
NeurIPS 2019 - Robot open-Ended Autonomous Learning
Robots that learn to interact with the environment autonomously
6881
137
27
ICCV 2019: Learning-to-Drive Challenge
Immitation Learning for Autonomous Driving
1 Authorship/Co-Authorship
2292
87
73
Flatland Challenge
Multi Agent Reinforcement Learning on Trains.
30'000 Prize Money
5 Travel Grants
Misc Prizes :
To Be Announced
20.6k
335
290
2000 Prize Money
Misc Prizes :
SIRIUS and IBM Research ponsors the prize for the best systems and best student systems, respectively.
4923
50
2523
"Crowdsourcing far exceeded our expectations - you not only get new solutions, but also a deeper insight to the problem you are trying to solve."
Thanks to the agile structure of the platform, it was easy to design an ML challenge outside of the standard framework of the training/test data challenges. For new challenges, I would choose AIcrowd over other platforms.
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