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Cryptocurrencies, Blockchains, and Smart Contracts; Hardware for Deep Learning

Author(s): Bailis, Peter; Narayanan, Arvind; Miller, Andrew; Han, Song

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dc.contributor.authorBailis, Peter-
dc.contributor.authorNarayanan, Arvind-
dc.contributor.authorMiller, Andrew-
dc.contributor.authorHan, Song-
dc.date.accessioned2021-10-08T19:44:33Z-
dc.date.available2021-10-08T19:44:33Z-
dc.date.issued2016en_US
dc.identifier.citationBailis, Peter, Arvind Narayanan, Andrew Miller, and Song Han. "Cryptocurrencies, Blockchains, and Smart Contracts; Hardware for Deep Learning." ACM Queue 14, no. 6 (2016): pp. 1-13. doi:en_US
dc.identifier.issn1542-7730-
dc.identifier.urihttps://www.cs.princeton.edu/~arvindn/publications/research-for-practice-cryptocurrencies.pdf-
dc.identifier.urihttp://arks.princeton.edu/ark:/88435/pr1jz4h-
dc.description.abstractOur fourth installment of Research for Practice covers two of the hottest topics in computer science research and practice: cryptocurrencies and deep learning.en_US
dc.format.extent1 - 13en_US
dc.language.isoen_USen_US
dc.relation.ispartofACM Queueen_US
dc.rightsAuthor's manuscripten_US
dc.titleCryptocurrencies, Blockchains, and Smart Contracts; Hardware for Deep Learningen_US
dc.typeJournal Articleen_US
dc.identifier.eissn1542-7749-
pu.type.symplectichttp://www.symplectic.co.uk/publications/atom-terms/1.0/journal-articleen_US

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