{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,21]],"date-time":"2026-02-21T18:59:42Z","timestamp":1771700382861,"version":"3.50.1"},"reference-count":21,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"10","license":[{"start":{"date-parts":[[2023,10,1]],"date-time":"2023-10-01T00:00:00Z","timestamp":1696118400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,10,1]],"date-time":"2023-10-01T00:00:00Z","timestamp":1696118400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,10,1]],"date-time":"2023-10-01T00:00:00Z","timestamp":1696118400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001691","name":"Japan Society for the Promotion of Science (JSPS) KAKENHI","doi-asserted-by":"publisher","award":["JP20K11740"],"award-info":[{"award-number":["JP20K11740"]}],"id":[{"id":"10.13039\/501100001691","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Circuits Syst. I"],"published-print":{"date-parts":[[2023,10]]},"DOI":"10.1109\/tcsi.2023.3290151","type":"journal-article","created":{"date-parts":[[2023,7,11]],"date-time":"2023-07-11T17:31:44Z","timestamp":1689096704000},"page":"3954-3963","source":"Crossref","is-referenced-by-count":7,"title":["Lookup Table-Based Computing-in-Memory Macro Approximating Dot Products Without Multiplications for Energy-Efficient CNN Inference"],"prefix":"10.1109","volume":"70","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0171-6679","authenticated-orcid":false,"given":"Hiroshi","family":"Fuketa","sequence":"first","affiliation":[{"name":"AI Chip Design Open Innovation Laboratory and the Device Technology Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), Ibaraki, Tsukuba, Japan"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/MASSP.1984.1162229"},{"key":"ref12","first-page":"992","article-title":"Multiplying matrices without multiplying","author":"blalock","year":"2021","journal-title":"Proc Int Conf Mach Learn (ICML)"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/JSSC.2012.2190191"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/JSSC.2004.831805"},{"key":"ref20","article-title":"Estimating or propagating gradients through stochastic neurons for conditional computation","author":"bengio","year":"2013","journal-title":"arXiv 1308 3432"},{"key":"ref11","first-page":"10","article-title":"Computing&#x2019;s energy problem (and what we can do about it)","author":"horowitz","year":"2014","journal-title":"IEEE Int Solid-State Circuits Conf (ISSCC) Dig Tech Papers"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ISSCC42614.2022.9731754"},{"key":"ref21","first-page":"6309","article-title":"Neural discrete representation learning","author":"oord","year":"2017","journal-title":"Proc Int Conf Neural Inf Process Syst (NIPS)"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ISSCC19947.2020.9062985"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/MC.2020.3034951"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/JSSC.2014.2339325"},{"key":"ref16","year":"2023","journal-title":"RP516x Series Datasheet"},{"key":"ref19","year":"2023","journal-title":"PyTorch ResNet9 for CIFAR-10"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TCSII.2016.2534678"},{"key":"ref8","first-page":"236","article-title":"A programmable neural-network inference accelerator based on scalable in-memory computing","author":"jia","year":"2021","journal-title":"IEEE Int Solid-State Circuits Conf (ISSCC) Dig Tech Papers"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ISSCC42613.2021.9365932"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ISSCC42613.2021.9365958"},{"key":"ref4","first-page":"246","article-title":"A 28 nm 64 Kb 6T SRAM computing-in-memory macro with 8b MAC operation for AI edge chips","author":"si","year":"2020","journal-title":"IEEE Int Solid-State Circuits Conf (ISSCC) Dig Tech Papers"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ISSCC.2019.8662392"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/VLSITechnologyandCir46769.2022.9830322"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.23919\/VLSICircuits52068.2021.9492492"}],"container-title":["IEEE Transactions on Circuits and Systems I: Regular Papers"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8919\/10268488\/10178690.pdf?arnumber=10178690","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,10,23]],"date-time":"2023-10-23T18:39:45Z","timestamp":1698086385000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10178690\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,10]]},"references-count":21,"journal-issue":{"issue":"10"},"URL":"https:\/\/doi.org\/10.1109\/tcsi.2023.3290151","relation":{},"ISSN":["1549-8328","1558-0806"],"issn-type":[{"value":"1549-8328","type":"print"},{"value":"1558-0806","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,10]]}}}