The Dangers of Teaching Machines Then and Now

2021 ◽  
Vol 31 (1) ◽  
pp. 10-11
Author(s):  
Lee Skallerup Bessette
Keyword(s):  
Teaching Machines

Teaching machines: An annotated bibliography.

1959 ◽  
Author(s):  
Edward B. Fry ◽  
Glenn L. Bryan ◽  
Joseph W. Rigney
Keyword(s):  
Annotated Bibliography ◽  
Teaching Machines

Teaching Machines

1961 ◽  
Vol 205 (5) ◽  
pp. 90-102 ◽  
Author(s):  
B. F. Skinner
Keyword(s):  
Teaching Machines

TEACHING MACHINES ARE A PROBLEM

1962 ◽  
Vol 4 (12) ◽  
pp. 14-16
Author(s):  
Richard Goodman
Keyword(s):  
Teaching Machines

scholarly journals Teaching Machines

Nature ◽  
1961 ◽  
Vol 192 (4798) ◽  
pp. 105-106
Author(s):  
H. KAY
Keyword(s):  
Teaching Machines

Spoken content retrieval and understanding using deep learning

Impact ◽  
2021 ◽  
Vol 2021 (1) ◽  
pp. 9-11
Author(s):  
Lin-shan Lee
Keyword(s):  
Deep Learning ◽  
Scientific Community ◽  
Online Courses ◽  
The Internet ◽  
Human Voice ◽  
Content Retrieval ◽  
Youtube Videos ◽  
Access Information ◽  
Teaching Machines

Spoken content refers to all content over the Internet which includes human voice, essentially those in multimedia, such As YouTube videos and online courses. Today such content is retrieved via Google primarily based on human-generated text labels, because Google can only retrieve text over the Internet. The goal of this project is to produce technologies to retrieve accurately and efficiently such spoken content directly based on the included audio sounds instead of text labels, because machines today can listen to human voice just as they can read the text. The long term goal is to create a spoken version of Google, which may revolutionize the ways in which humans access information and improve their knowledge. Professor Lin-shan Lee at National Taiwan University is leading this project. He has been a distinguished leader in the global scientific community for the area of teaching machines to speak and listen to human voice for many years.

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