{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,27]],"date-time":"2026-09-27T10:40:44Z","timestamp":1790505644389,"version":"4.1.0"},"reference-count":8,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1109\/iscas.2018.8351255","type":"proceedings-article","created":{"date-parts":[[2018,5,4]],"date-time":"2018-05-04T22:00:05Z","timestamp":1525471205000},"page":"1-5","source":"Crossref","is-referenced-by-count":33,"title":["Bit Error Tolerance of a CIFAR-10 Binarized Convolutional Neural Network Processor"],"prefix":"10.1109","author":[{"given":"Lita","family":"Yang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Daniel","family":"Bankman","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bert","family":"Moons","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marian","family":"Verhelst","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Boris","family":"Murmann","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref4","first-page":"222","article-title":"An Always-On 3.8?J\/86% CIFAR-10 Mixed-Signal Binary CNN Processor with all Memory on Chip in 28nm CMOS","author":"bankman","year":"2018","journal-title":"IEEE Int Solid-State Circ Conf (ISSCC)"},{"key":"ref3","article-title":"Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or ?1","author":"courbariaux","year":"2016"},{"key":"ref6","article-title":"BinarEye: An Always-On Energy-Accuracy-Scalable Binary CNN Processor With All Memory On Chip In 28nm CMOS","author":"moons","year":"2018","journal-title":"Proc IEEE Custom Integrated Circuits Conference (CICC)"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TVLSI.2017.2727528"},{"key":"ref8","first-page":"3007","article-title":"Analytical Guarantees on Numerical Precision of Deep Neural Networks","volume":"70","author":"sakr","year":"2017","journal-title":"Proc 34th Int Conf Mach Learn"},{"key":"ref7","article-title":"DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth Gradients","author":"zhou","year":"2016"},{"key":"ref2","first-page":"2859","article-title":"Fixed Point Quantization of Deep Convolutional Networks","author":"lin","year":"2016","journal-title":"Proc 33rd Int Conf Mach Learn"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ISQED.2017.7918284"}],"event":{"name":"2018 IEEE International Symposium on Circuits and Systems (ISCAS)","location":"Florence","start":{"date-parts":[[2018,5,27]]},"end":{"date-parts":[[2018,5,30]]}},"container-title":["2018 IEEE International Symposium on Circuits and Systems (ISCAS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8334884\/8350884\/08351255.pdf?arnumber=8351255","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,10,22]],"date-time":"2019-10-22T00:50:34Z","timestamp":1571705434000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8351255\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"references-count":8,"URL":"https:\/\/doi.org\/10.1109\/iscas.2018.8351255","relation":{},"subject":[],"published":{"date-parts":[[2018]]}}}