Can We Read Neural Networks? Epistemic Implications of Two Historical Computer Science Papers.

The article discusses two computer science research papers concerning artificial intelligence (AI). Topics explored include the susceptibility of deep convolutional neural networks to input pertubations acknowledged in the 2013 study "Intriguing Properties of Neural Networks," by Christian Szegedy a...

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Bibliographic Details

Published in:	American Literature Vol. 95; no. 2; pp. 423 - 429
Main Author:	Offert, Fabian
Format:	Article
Published:	Duke University Press Jun2023
Subjects:	Computer science research Artificial intelligence Artificial neural networks Language models Computer programming 21st century (Literary period)
Online Access:	View this record in EBSCOhost