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Research for Practice: Cryptocurrencies, Blockchains, and Smart Contracts; Hardware for Deep Learning: Expert-curated Guides to the Best of CS Research

Published:01 December 2016Publication History
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Abstract

First, Arvind Narayanan and Andrew Miller, co-authors of the increasingly popular open-access Princeton Bitcoin textbook, provide an overview of ongoing research in cryptocurrencies. Second, Song Han provides an overview of hardware trends related to another long-studied academic problem that has recently seen an explosion in popularity: deep learning.

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  • Published in

    cover image Queue
    Queue  Volume 14, Issue 6
    Authentication
    November-December 2016
    96 pages
    ISSN:1542-7730
    EISSN:1542-7749
    DOI:10.1145/3028687
    Issue’s Table of Contents

    Copyright © 2016 ACM

    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    • Published: 1 December 2016

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