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

<p>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.</p><p>Watch all our episodes on the <a href="https://www.youtube.com/c/BuildingBetterSystemsPodcast/videos" target="_blank">Building Better Systems youtube channel</a>.</p><p>Iain Whiteside: <a href="https://www.linkedin.com/in/iainjw">https://www.linkedin.com/in/iainjw</a></p><p>Joey Dodds: <a href="https://galois.com/team/joey-dodds/">https://galois.com/team/joey-dodds/</a></p><p>Shpat Morina: <a href="https://galois.com/team/shpat-morina/">https://galois.com/team/shpat-morina/ </a></p><p>Galois, Inc.: <a href="https://galois.com/">https://galois.com/ </a></p><p>Contact us: <a href="mailto:podcast@galois.com">podcast@galois.com</a></p>