Jülich Challenges
In the Jülich Challenges project, we support the creation, deployment and lauch of a data challenges website for Forschungszentrum Jülich.
Scientists from Forschungszentrum Jülich have had great success in organizing data challenges [1]. Hanno Scharr's group from IBG-2 has attracted a lot of attention and very interesting solutions to a plant phenotyping challenge. Combined effort of several researchers from FZJ is built on the idea of creating a platform that can serve as host for challenges in the future [2]. Researchers from fields as diverse as biology, neuroscience and material science join their efforts for creating the platform
This way it is they would like to increase the visibility of both of FZJ's research and FZJ as a location of great AI research.
Our team contributes to the Jülich Challenges in many different ways. We have created the web site for Jülich Challenges based on on the code of the great EvalAI Website [3]. If you are interested, please visit data-challenges.fz-juelich.de. We support scientist in preparing their dataset for the challenges. Finally we contribute baseline solutions to some of the challenges. And sometimes we try to improve the state of the art.
- Tsaftaris, Sotirios A., and Hanno Scharr. "Sharing the right data right: A symbiosis with machine learning." Trends in plant science 24.2 (2019): 99-102.
- Scharr, Hanno et al, "Jülich Challenges", Whitepaper.
- https://eval.ai/