Episode Synopsis "6. Genetic Algorithms with Filip Kučerak"

Brendon and Anish interview Filip Kučerak, a student from Slovakia, about his research on using genetic algorithms to generate realistic, lifelike trees in a simulated environment. We discuss how one develops a realistic simulation that can be optimized using genetic algorithms, the concepts that enable genetic algorithms to work, and how they relate to other machine learning methods. Please send comments to .

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More episodes of the podcast Shattered Gradients

• 1. Hello World, and Vision for Autonomous Vehicles
• 2. Real-World Ethics in Deep Learning, with Jacky Zhao
• 3. David Holz on Building a Career in Silicon Valley and the Future of Deep Learning (Live at ISEF)
• 4. Deep Learning in Embedded Electronics for Short-Term Storm Forecasting with Max von Wolff
• 5. Generative-Adversarial Neural Networks and Voiceprint Systems with Zach Trefler
• 6. Genetic Algorithms with Filip Kučerak
• 7. Seeing Through Walls with Kevin Meng
• 8. Everything Under the Sun with Krithik Ramesh