Hidden Layers: AI and the People Behind It

2025년 4월 29일 · 노트보기

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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.

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# ron green

# risto miikkulainen

evolving mind

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00:00:00Introduction and Risto’s Early AI Inspiration

00:02:00Neural Networks: The 80s-90s Boom and Challenges

00:06:00Supervised, Reinforcement, and Evolutionary Learning

00:11:00Why Evolutionary Methods Matter for Creativity

00:17:00Escaping Local Optima and Exploring Big Search Spaces

00:22:00Real-World Wins: Basil Farming and Surprising Designs

00:27:00Neural Architecture Search and Future Applications

00:32:00Evolution, Language Emergence, and Intelligence

00:36:00Final Thoughts and Risto’s New Book

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