LM101-017: How to Decide if a Machine is Artificially Intelligent (Rerun)

11/24/14 • 33 min

This episode we discuss the Turing Test for Artificial Intelligence which is designed to determine if the behavior of a computer is indistinguishable from the behavior of a thinking human being. The chatbot A.L.I.C.E. (Artificial Linguistic Internet Computer Entity) is interviewed and basic concepts of AIML (Artificial Intelligence Markup Language) are introduced.

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LM101-016: How to Analyze and Design Learning Rules using Gradient Descent Methods

In this episode we introduce the concept of gradient descent which is the fundamental principle underlying learning in the majority of machine learning algorithms.

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Next Episode

LM101-018: Can Computers Think? A Mathematician's Response (Rerun)

In this episode, we explore the question of what can computers do as well as what computers can’t do using the Turing Machine argument. Specifically, we discuss the computational limits of computers and raise the question of whether such limits pertain to biological brains and other non-standard computing machines.

This is a rerun of Episode 4. We continue new podcasts in January 2015!

For a transcript of this episode, please visit our website: www.learningmachines101.com!!!