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E-Gov Document
Corporate Author
United States. Congress. Senate. Committee on Commerce, Science, and Transportation, author.
Title
Identifying Outputs of Generative Adversarial Networks Act : report of the Committee on Commerce, Science, and Transportation on S. 2904.
Publication Info.
Washington : U.S. Government Publishing Office, 2020.
Online access
Connect to https://purl.fdlp.gov/GPO/gpo147593
Item Status
Description
1 online resource (ii, 6 pages).
text file
Series
Report / 116th Congress, 2d session, Senate ; 116-289
United States. Congress. Senate.
Report ; 116-289.
Note
"November 9, 2020."
GPO Cataloging Record Distribution Program (CRDP).
Bibliography
Includes bibliographical references.
Subject
Artificial intelligence -- Research -- United States.
Artificial intelligence -- Research.
United States.
Artificial intelligence.
Neural networks (Computer science)
Neural networks (Computer science)
Digital media -- Editing.
Digital media -- Editing.
Fake news.
Fake news.
Genre/Form
Legislative materials.
Legislative materials.
Other Form:
MIcrofiche version: United States. Congress. Senate. Committee on Commerce, Science, and Transportation. Identifying Outputs of Generative Adversarial Networks Act (OCoLC)1291610924
Print version: United States. Congress. Senate. Committee on Commerce, Science, and Transportation. Identifying Outputs of Generative Adversarial Networks Act (OCoLC)1241087624
Gpo Item No.
1008-G (online)
Sudoc No.
Y 1.1/5:116-289
