Mentioned by
Mentioned in 9 episodes
Mentioned by Balaji Srinivasan in discussion of perceptrons and neural networks.
461 snips
#134 Balaji Srinivasan: The Network State
Mentioned by Marvin Minsky and Seymour Papert to demonstrate that single-layer neural networks can only compute linear functions.
36 snips
Babbage: The science that built the AI revolution—part one
Mentioned by 
Ray Kurzweil as a book he co-authored with Seymour Papert, discussing perceptrons and neural networks.
Ray Kurzweil as a book he co-authored with Seymour Papert, discussing perceptrons and neural networks.
27 snips
Season 4, Episode 9: Ray Kurzweil, The Singularity is Nearer: When We Merge with AI
Mentioned as a book that assessed the limitations of the perceptron.
20 snips
Artificial Intelligence – Part One – Deus ex machina
Mentioned by 
Stephen Wolfram as a book arguing that perceptrons and neural nets can't do anything interesting.
Stephen Wolfram as a book arguing that perceptrons and neural nets can't do anything interesting.
The AI Expert: "Super AI Will Be Unstoppable!"– What’s Coming NEXT _ Stephen Wolfram
Mentioned by Rodney Brooks while discussing the history of neural networks and the impact of this book.
#217 – Rodney Brooks: Robotics
Mentioned by 
Alex when discussing the limitations of single-layer neural networks and its contribution to the first AI winter.
Alex when discussing the limitations of single-layer neural networks and its contribution to the first AI winter.
Decoding Dreams, China's AI Surge, and Amazon's Origin Story
Mentioned by Mukesh Bansal as a book that mathematically proved neural networks cannot solve certain problems.
An Introduction to Artificial Intelligence (AI) for Beginners | SparX by Mukesh Bansal
