Video Case Study: Making AI More Reliable & Credible in the Automotive Industry

Fill in the form below to view the case study from Philipp Slusallek, Scientific Director Research lab Agents and Simulated Reality, DFKI – German Research Center for Artificial Intelligence. In his case study, he offers solutions on training and validating autonomous systems.

Making AI More Reliable

Philipp Slusallek is a professor for computer graphics at Saarland University and the scientific director at the German Research Center for Artificial Intelligence.

Keynote focus:

  • Modelling & Simulating the Environment: Safety Critical Traffic Scenarios
  • Generating and Using Data from Virtual Scenarios to Train for Critical Situations
  • Humane AI – Developing a Common European Framework for AI Research as Based on the CERN Working Model

If you want to go deeper, join us at the Auto.AI Europe 2019. Take a look at the agenda for more information.

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