Step back to 1962 with us for a deep dive into Frank Rosenblatt's "Principles of Neurodynamics". This foundational work introduced the perceptron, a pioneering "brain model" and theoretical nerve network that simulates how organisms learn and "perceive" the physical world. Discover how Rosenblatt's insights into these early learning machines laid critical groundwork for artificial intelligence, exploring the concept of learning through "acquired biases" rather than rigid programming.

Disclaimer: This podcast was generated by an AI.

You can find the original book that inspired this discussion here: https://hdl.handle.net/2027/mdp.39015039846566