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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.

Copies

Location Call No. OPAC Message Status
 Axe Federal Documents Online  Y 1.1/5:116-289    ---  Available
Description 1 online resource (ii, 6 pages).
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Series Report / 116th Congress, 2d session, Senate ; 116-289
United States. Congress. Senate. Report ; 116-289.
Note Description based on online resource; title from PDF title screen (govinfo web site, viewed on Nov. 17, 2020).
"November 9, 2020."
Bibliography Includes bibliographical references.
Subject Artificial intelligence -- Research -- United States.
Neural networks (Computer science)
Digital media -- Editing.
Fake news.
Neural Networks, Computer
Artificial intelligence -- Research. (OCoLC)fst00817278
Digital media -- Editing. (OCoLC)fst01750965
Fake news. (OCoLC)fst01985391
Neural networks (Computer science) (OCoLC)fst01036260
United States. (OCoLC)fst01204155 https://id.oclc.org/worldcat/entity/E39PBJtxgQXMWqmjMjjwXRHgrq
Genre/Form legislative records.
Legislative materials. (OCoLC)fst01774285
Legislative materials.
Gpo Item No. 1008-G (online)
Sudoc No. Y 1.1/5:116-289

 
    
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