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Session

How to master next generation functional safety with machine learning?

3 | Machine Learning Café

Tuesday, December 10

11:00 AM - 03:00 PM

Live in Dearborn, Michigan

Less Details

  • What are the challenges to step from fail-safe to fail-operational architectures as a foundation of ML systems in HAD?
  • What do we still need to do to achieve functional safety for deep learning algorithms?
  • What solutions could be applied to address challenges in simulation, testing & validation of AI & sensor fusion systems?
  • What methods should we use to test and validate synthetic data for real world environments?
  • How to address the interpretability and transparency challenges of machine learning models to ensure compliance with functional safety standards?
Workshop

Speaker

Lisa Savage

Principal Technical Lead, Aptiv

Lisa Perez Savage is the Principal Technical Lead for Safety of AI/ML and SOTIF at Aptiv. Her primary objective is to ensure the successful deployment of advanced products by leveraging her extensive background in mechanical and systems engineering. She holds a Master’s Degree in Mechanical Engineering from the University of Michigan.

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Company

Aptiv

https://www.aptiv.com
As the only provider of an integrated vehicle brain and nervous system, Aptiv works with our customers to create software-defined vehicles and solve mobility’s toughest challenges in autonomous driving, vehicle electrification, advanced safety, and much more. We believe that mobility has the power to change the world.
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