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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Round 1: 18 days left

NeurIPS 2020: Procgen Competition

Measure sample efficiency and generalization in reinforcement learning using procedurally generated environments

1 Authorship/Co-Authorship

Misc Prizes : To be announced

#neurips #reinforcement_learning

OpenAI

Round 1: 49 days left

NeurIPS 2020: MineRL Competition

Sample-efficient reinforcement learning in Minecraft

1 Authorship/Co-Authorship

Misc Prizes : To be announced

#neurips #reinforcement_learning

MineRL Labs - Carnegie Mellon University

Round 1: 2 days left

NeurIPS 2020: Flatland Challenge

Multi Agent Reinforcement Learning on Trains

4 Travel Grants

Misc Prizes : To Be Announced

#neurips #reinforcement_learning

SBB

Deutsche Bahn

Round 1: Completed

#educational #blitz

AIcrowd

Round 4: Completed

Snake Species Identification Challenge

Classify images of snake species from around the world

1 Travel Grants

1 Authorship/Co-Authorship

Institute of Global Health

LifeCLEF

Round 1: Synchronized Receivers: Completed

CYD Campus Aircraft Localization Competition

Find all the aircraft!

>30,000 CHF available Prize Money

2 Travel Grants

1 Authorship/Co-Authorship

#supervised_learning #aviation

OpenSky Network

Cyber-Defence Campus, armasuisse

"Crowdsourcing far exceeded our expectations - you not only get new solutions, but also a deeper insight to the problem you are trying to solve."

Erik Nygren, Deep Learning and Artificial Intelligence Research, SBB CFF FFS

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.

Łukasz Kidziński, Postdoctoral Researcher, Stanford