{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,2]],"date-time":"2026-04-02T16:02:52Z","timestamp":1775145772283,"version":"3.50.1"},"reference-count":10,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,4]]},"DOI":"10.1109\/cicc.2018.8357071","type":"proceedings-article","created":{"date-parts":[[2018,5,18]],"date-time":"2018-05-18T21:27:22Z","timestamp":1526678842000},"page":"1-4","source":"Crossref","is-referenced-by-count":82,"title":["BinarEye: An always-on energy-accuracy-scalable binary CNN processor with all memory on chip in 28nm CMOS"],"prefix":"10.1109","author":[{"given":"Bert","family":"Moons","sequence":"first","affiliation":[]},{"given":"Daniel","family":"Bankman","sequence":"additional","affiliation":[]},{"given":"Lita","family":"Yang","sequence":"additional","affiliation":[]},{"given":"Boris","family":"Murmann","sequence":"additional","affiliation":[]},{"given":"Marian","family":"Verhelst","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ISSCC.2017.7870353"},{"key":"ref3","article-title":"BRein Memory: A 13-Layer 4.2K Neuron\/0.8M Synapse Binary\/Ternary Reconfigurable In-Memory Deep Neural Network Accelerator in 65nm CMOS","author":"ando","year":"2017","journal-title":"Proceedings of the Symp VLSI Circuits (VLSI-C)"},{"key":"ref10","author":"moons","year":"0"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ISSCC.2017.7870354"},{"key":"ref5","doi-asserted-by":"crossref","first-page":"11441","DOI":"10.1073\/pnas.1604850113","article-title":"Convolutional networks for fast, energy-efficient neuromorphic computing","volume":"113","author":"esser","year":"2016","journal-title":"Proceedings of the National Academy of Sciences of the United States of America"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/JSSC.2016.2642198"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CICC.2017.7993629"},{"key":"ref2","article-title":"YodaNN: An architecture for ultra-low power binary-weight CNN acceleration","author":"andri","year":"2017","journal-title":"IEEE Transactions on Computer Aided Design (TCAD)"},{"key":"ref9","article-title":"An Always-On 3.8uJ\/86% CIFAR-10 Mixed-Signal Binary CNN Processor With All Memory On Chip in 28nm CMOS","author":"bankman","year":"2018","journal-title":"ISSCC Tech Digest"},{"key":"ref1","article-title":"Binarized Neural Networks","author":"hubara","year":"2016","journal-title":"Advances in Neural Information Processing Systems (NIPS)"}],"event":{"name":"2018 IEEE Custom Integrated Circuits Conference (CICC)","location":"San Diego, CA","start":{"date-parts":[[2018,4,8]]},"end":{"date-parts":[[2018,4,11]]}},"container-title":["2018 IEEE Custom Integrated Circuits Conference (CICC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8355238\/8357004\/08357071.pdf?arnumber=8357071","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,26]],"date-time":"2022-01-26T07:30:23Z","timestamp":1643182223000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8357071\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,4]]},"references-count":10,"URL":"https:\/\/doi.org\/10.1109\/cicc.2018.8357071","relation":{},"subject":[],"published":{"date-parts":[[2018,4]]}}}