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Software is reshaping the automotive industry. How can automakers adopt modern software development methodologies, validate new business models for infotainment features, and create state-of-the-art human-machine interface designs?
What can artificial intelligence and machine learning methodologies teach us about automotive software? How can automakers leverage synthetic data and data engines to improve development speed and quality?
From Level 1-2 advanced driver-assistance systems to Level 3-4 autonomous vehicles, how should automakers leverage large-scale testing and verification and validation to develop safe automated driving systems?
How can automakers bring safe vehicles to market while meeting regulations and criteria set forth by the U.S. National Traffic Highway Association, the E.U. General Safety Regulation, and the European New Car Assessment Programme?
