The Child's Machine vs. the World's Brain

author: Claude Sammut, School of Computer Science and Engineering, University of New South Wales
published: Nov. 16, 2012,   recorded: October 2012,   views: 73
Categories

Slides

Related content

Report a problem or upload files

If you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
Lecture popularity: You need to login to cast your vote.
  Delicious Bibliography

Description

I think of machine learning research as building two different types of entities: Turing’s Child Machine and H.G. Wells’ World Brain. The former is a machine that learns incrementally by receiving instruction from a trainer or by its own trial-and-error. The latter is a permanent repository that makes all human knowledge accessible to anyone in the world. While machine learning began following the Child Machine model, recent research has been more focussed on “organising the world’s information”. Both are important endeavours, however, incremental learning has been neglected and, we argue, should be revived.

See Also:

Download slides icon Download slides: is2012_sammut_child_machine_01.pdf (4.3 MB)


Help icon Streaming Video Help

Link this page

Would you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !

Write your own review or comment:

make sure you have javascript enabled or clear this field: