Learning Machines 101 show

Learning Machines 101

Summary: 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 addressed in this podcast series!

Join Now to Subscribe to this Podcast
  • Visit Website
  • RSS
  • Artist: Richard M. Golden, Ph.D., M.S.E.E., B.S.E.E.
  • Copyright: Copyright (c) 2014-2019 by Richard M. Golden. All rights reserved.

Podcasts:

 LM101-006: How to Interpret Turing Test Results | File Type: audio/mpeg | Duration: 31:24

LM101-006: How to Interpret Turing Test Results

 LM101-005: How to Decide if a Machine is Artificially Intelligent (The Turing Test) | File Type: audio/mpeg | Duration: 32:06

LM101-005: How to Decide if a Machine is Artificially Intelligent (The Turing Test)

 LM101-004: Can computers think? A mathematician.s response | File Type: audio/mpeg | Duration: 34:26

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

 LM101-003: How to Represent Knowledge using Logical Rules | File Type: audio/mpeg | Duration: 20:19

LM101-003: How to Represent Knowledge using Logical Rules

 LM101-002: How to Build a Machine that Learns to Play Checkers | File Type: audio/mpeg | Duration: 24:24

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

Comments

Login or signup comment.