In this episode of Hidden Layers, Ron Green sits down with Dr. Risto Miikkulainen — Vice President of AI Research at Cognizant Advanced AI Labs and Professor of Computer Science at UT Austin — to explore the fascinating world of evolutionary computation. They dive deep into the differences between supervised learning, reinforcement learning, and evolutionary techniques, and why evolutionary approaches offer unique advantages for creativity, scalability, and innovation in AI.

Dr. Miikkulainen shares real-world examples of unexpected discoveries, from cyber agriculture breakthroughs to designing new AI architectures. They also discuss the future of multi-agent systems, surrogate modeling, and how evolutionary computation could help us better understand the emergence of intelligence and language. Plus, Dr. Miikkulainen previews his upcoming book Neural Evolution: Harnessing Creativity in AI Model Design.