Chapter

Exploring the Power of Evolutionary Algorithms and Information Networks Inspired by Biology
Kevin Kelly discusses how the fields of deep learning and machine learning are recapitulating the evolutionary and fetal development of human cognition through the use of biological inspiration and algorithms leading to shifts from traditional engineering. He also explores complexity theory and underlying principles such as self-organization and emergence within this topic, and the peak cognitive development of children aged 2-3 years old.
Clips
The podcast explores how babies' minds develop and how much they learn before mastering their first words, and discusses how parents can connect with their pre-verbal infants on a deeper level.
04:30 - 06:38 (02:07)
Summary
The podcast explores how babies' minds develop and how much they learn before mastering their first words, and discusses how parents can connect with their pre-verbal infants on a deeper level.
ChapterExploring the Power of Evolutionary Algorithms and Information Networks Inspired by Biology
Episode#404: Books I've Loved — Steve Jurvetson
PodcastThe Tim Ferriss Show
Kevin Kelly discusses the benefits of exploring biomimicry, learning from biology and using evolutionary algorithms and iterative learning algorithms like deep learning and machine learning for designing complex systems like neural networks.
06:38 - 12:25 (05:46)
Summary
Kevin Kelly discusses the benefits of exploring biomimicry, learning from biology and using evolutionary algorithms and iterative learning algorithms like deep learning and machine learning for designing complex systems like neural networks. He also explores the underlying principles of complexity theory and the properties of emergence, self-organization, and the wisdom of crowds at the Santa Fe Institute.