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PODCAST

Learning Machines 101

Richard M. Golden, Ph.D., M.S.E.E., B.S.E.E.

Smart machines based upon the principles of artificial intelligence and machine learning are now prevalent in our everyday life. For example, artificially intelligent systems recognize our voices, sort our pictures, make purchasing suggestions, and can automatically fly planes and drive cars. In this podcast series, we examine such questions such as: How do these devices work? Where do they come from? And how can we make them even smarter and more human-like? These are the questions that will be

technology mathematics

All Episodes

31:24

LM101-006: How to Interpret Turing Test Results

Learning Machines 101 ·

2014/06/09

Learning Machines 101 - A Gentle Introduction to Artificial Intelligence and Machine Learning Episode Summary: In this episode, we briefly review the concept of the Turing Test for Artificial Intelligence (AI) which states that if a computer.s behavior is indistinguishable from that of the behavior of a thinking human being, then the computer should be called .artificially intelligent.. Some objections to this definition of artificial intelligence are introduced and discussed. At. Read More » The

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32:06

LM101-005: How to Decide if a Machine is Artificially...

Learning Machines 101 ·

2014/05/27

Learning Machines 101 - A Gentle Introduction to Artificial Intelligence and Machine Learning Episode Summary: 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. Show Notes: Hello

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34:26

LM101-004: Can computers think? A mathematician.s...

Learning Machines 101 ·

2014/05/12

Learning Machines 101 - A Gentle Introduction to Artificial Intelligence and Machine Learning Episode Summary: 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. Show Notes: Hello everyone! Welcome to the. Read More » The post LM101-004:

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20:19

LM101-003: How to Represent Knowledge using Logical...

Learning Machines 101 ·

2014/04/29

Learning Machines 101 - A Gentle Introduction to Artificial Intelligence and Machine Learning Episode Summary: In this episode we will learn how to use .rules. to represent knowledge. We discuss how this works in practice and we explain how these ideas are implemented in a special architecture called the production system. The challenges of representing knowledge using rules are also discussed. Specifically, these challenges include: issues of feature representation, having an. Read More » The post

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24:24

LM101-002: How to Build a Machine that Learns to Play...

Learning Machines 101 ·

2014/04/29

Learning Machines 101 - A Gentle Introduction to Artificial Intelligence and Machine Learning Episode Summary: In this episode, we explain how to build a machine that learns to play checkers. The solution to this problem involves several key ideas which are fundamental to building systems which are artificially intelligent. Show Notes: Hello everyone! Welcome to the second podcast in the podcast series Learning Machines 101. In this series of podcasts my. Read More » The post LM101-002: How to

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