#17: Iain Whiteside — The Twists and Turns of Validating Neural Networks for Autonomous Driving (Part 2)

In this two-part episode, we speak with Iain Whiteside about the challenges and some of the more novel solutions to make autonomous vehicles safer and easier to program. In part 1, we discuss how Ian and his team formalize and check the different actions and situations that a car finds itself in while on the road. In part 2, we discuss how you might validate the accuracy of neural networks that sense the world, and how to mitigate issues that might arise.

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Exploring tools and approaches that make us more effective engineers and make our systems safe and reliable. Join us for discussions on recent developments in topics such as best practices in reliability and security, applied formal methods, encryption, and safe and secure hardware.