Energy-efficient neural network chips approach human recognition capabilities

Research output: Contribution to journal › Article

Original language	English
Pages (from-to)	doi/10.1073/pnas.1614109113
Journal	Proceedings of the National Academy of Sciences of the United States of America
Volume	113
Issue number	40
Publication status	Published - 2016

Fields of Expertise

@article{0b2421ee3f9f4310a770eb142ffe0a98,

title = "Energy-efficient neural network chips approach human recognition capabilities",

author = "Wolfgang Maass",

year = "2016",

language = "English",

volume = "113",

pages = "doi/10.1073/pnas.1614109113",

journal = "Proceedings of the National Academy of Sciences of the United States of America",

issn = "0027-8424",

publisher = "National Academy of Sciences",

number = "40",

}

TY - JOUR

T1 - Energy-efficient neural network chips approach human recognition capabilities

AU - Maass, Wolfgang

PY - 2016

Y1 - 2016

M3 - Article

VL - 113

SP - doi/10.1073/pnas.1614109113

JO - Proceedings of the National Academy of Sciences of the United States of America

JF - Proceedings of the National Academy of Sciences of the United States of America

SN - 0027-8424

IS - 40

ER -