{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,29]],"date-time":"2024-10-29T09:42:18Z","timestamp":1730194938411,"version":"3.28.0"},"reference-count":22,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,6,11]],"date-time":"2023-06-11T00:00:00Z","timestamp":1686441600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,6,11]],"date-time":"2023-06-11T00:00:00Z","timestamp":1686441600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,6,11]]},"DOI":"10.1109\/aicas57966.2023.10168607","type":"proceedings-article","created":{"date-parts":[[2023,7,7]],"date-time":"2023-07-07T18:24:30Z","timestamp":1688754270000},"page":"1-5","source":"Crossref","is-referenced-by-count":0,"title":["Performance Assessment of an Extremely Energy-Efficient Binary Neural Network Using Adiabatic Superconductor Devices"],"prefix":"10.1109","author":[{"given":"Olivia","family":"Chen","sequence":"first","affiliation":[{"name":"Tokyo City University,Dept. Computer Science,Tokyo,Japan"}]},{"given":"Zhengang","family":"Li","sequence":"additional","affiliation":[{"name":"Northeasetern University,Dept. Electrical and Computer Engineering,Boston,USA"}]},{"given":"Tomoharu","family":"Yamauchi","sequence":"additional","affiliation":[{"name":"Tokyo City University,Grad. Sch. Informative Engineering,Tokyo,Japan"}]},{"given":"Yanzhi","family":"Wang","sequence":"additional","affiliation":[{"name":"Northeasetern University,Dept. Electrical and Computer Engineering,Boston,USA"}]},{"given":"Nobuyuki","family":"Yoshikawa","sequence":"additional","affiliation":[{"name":"Yokohama National University,Dept. Electrical and Computer Engineering,Yokohama,Japan"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TASC.2021.3061636"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/3394885.3431606"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/JSSC.2020.3041338"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TASC.2019.2900220"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1587\/transele.E97.C.132"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICCD46524.2019.00067"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TASC.2021.3061947"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/3299874.3317980"},{"key":"ref21","first-page":"1","article-title":"Fabrication process and properties of fully-planarized deep-submicron nb\/al–nb josephson junctions for vlsi circuits","volume":"25","author":"tolpygo","year":"2015","journal-title":"IEEE Transactions on Applied Superconductivity"},{"key":"ref2","volume":"abs 1602 2830","author":"courbariaux","year":"2016","journal-title":"BinaryNet Training Deep Neural Networks with Weights and Activations Constrained to +1 or ?1"},{"key":"ref1","volume":"abs 1603 5279","author":"rastegari","year":"2016","journal-title":"Xnornet Imagenet classification using binary convolutional neural networks"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ISEC46533.2019.8990901"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1088\/1361-6668\/aaf8c9"},{"journal-title":"Yield evaluation of 83k-junction adiabatic-quantum-flux-parametron circuits","year":"2016","author":"narama","key":"ref19"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/77.403031"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TASC.2023.3243180"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1143\/JJAP.51.053102"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1063\/1.4919838"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1088\/0953-2048\/26\/3\/035010"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/77.80745"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TASC.2010.2098432"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1063\/1.3585849"}],"event":{"name":"2023 IEEE 5th International Conference on Artificial Intelligence Circuits and Systems (AICAS)","start":{"date-parts":[[2023,6,11]]},"location":"Hangzhou, China","end":{"date-parts":[[2023,6,13]]}},"container-title":["2023 IEEE 5th International Conference on Artificial Intelligence Circuits and Systems (AICAS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10168547\/10168548\/10168607.pdf?arnumber=10168607","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,7,24]],"date-time":"2023-07-24T17:33:45Z","timestamp":1690220025000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10168607\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6,11]]},"references-count":22,"URL":"https:\/\/doi.org\/10.1109\/aicas57966.2023.10168607","relation":{},"subject":[],"published":{"date-parts":[[2023,6,11]]}}}