AI Research in the Volkswagen Group Munich Data:Lab conducts fundamental
machine-learning research, working towards artificial intelligence.
The open-access research group exploits and develops methodologies
around deep learning, variational inference, and time series modelling.
We validate our methodologies in sensorised robotics and control settings.
Disseminating our scientific results is key to our mission.
We will keep you updated through our publications, an upcoming blog, and social media posts.
and Robotics Challenge
The Volkswagen Group AI Research Lab—a part of the Data:Lab in Munich—invites students to join the 2017 Deep Learning and Robotics Challenge.
In this challenge, which is scheduled to take place from September 11 to October 13, 2017, you will collaborate with your peers in small groups to solve a robotics challenge. Your methodologies should be based on deep neural networks, which you are to develop within the TensorFlow framework. Python is our preferred language.
All groups will compete to have their robot solve the set task as efficiently as possible. The challenge will be crowned with a ceremony at the GTC Europe (Oct. 10--12, Munich) for the winning team. All code that you will develop within this challenge will be open-sourced. Note that your major input will be related to machine learning, and less so to robotics.
The DLRC is set up in a collaboration between Volkswagen Group and NVIDIA. In this collaboration, we will provide you with a compute infrastructure based on DGX-1, 1080s and Jetsons. You need to bring your own laptop to access our compute clusters.
Registration was closed on August 1, 2017.
Follow the students' progress on their blog
This website is intended as an informational platform, describing research output by the AI Research Group within the Data:Lab in Munich. The Data:Lab is part of Volkswagen Group.
None of the information published on this website officially represents Volkswagen Group or the Data:Lab, and the opinions herein do not necessarily represent the opinions of either party.
Responsible for the contents of this website is
Patrick van der Smagt
Director of AI Research
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