AI Paper Spotlights - Improving Confidence in AI for Autonomous Driving

Join us for the upcoming round of the AI Paper Spotlights - Berlin’s AI Research Meet Up as we dive into the latest tech advancements in the dynamic world of AI!

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The broad acceptance of deep learning models is still hindered by issues regarding decision interpretability and reliability assessment. This time we invited Georgii Mikriukov, Moussa Kassem Sbeyti, and Christian Schlauch from Continental. The talk explores three recently published papers by Continental’s AI Lab that collectively highlight the importance of interpretable and robust models via efficient uncertainty handling and knowledge integration as key factors in advancing deep learning systems for autonomous driving.

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Join us on the Merantix AI Campus, where you can connect with the thriving Berlin ML community, or alternatively, join us virtually!