” Understanding the World with AI: Training and Validating AI Systems using Synthetic Data”
The Speaker is: Philipp Slusallek (DFKI),
Scientific Director and Site Director, German Research Center for Artificial
Intelligence (DFKI), Saarbrücken, Germany
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What is the Presentation about?
Artificial Intelligence (AI) systems that deal with reality need to reliably make accurate decisions even in highly complex and critical situations, in particular when human lives are at stake. However, suitable real training data is often hard to come by, especially for critical situations that hardly ever happen.
Digital Reality uses AI to optimize and validate other AI systems. The approach allows to simultaneously learn models of the real world and use them for the training of AI systems by synthetically generating the needed sensor data via simulations. This approach also allows us to systematically validate AI systems by automatically generating test cases from our models that specifically address critical aspects.
Validation with real data also allows us to continuously identify limitations in the models and adapt them to the dynamic changes in the real world.