{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,9]],"date-time":"2026-04-09T20:19:32Z","timestamp":1775765972568,"version":"3.50.1"},"reference-count":26,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,3,31]],"date-time":"2025-03-31T00:00:00Z","timestamp":1743379200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,3,31]],"date-time":"2025-03-31T00:00:00Z","timestamp":1743379200000},"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":[[2025,3,31]]},"DOI":"10.23919\/date64628.2025.10992694","type":"proceedings-article","created":{"date-parts":[[2025,5,21]],"date-time":"2025-05-21T17:36:35Z","timestamp":1747848995000},"page":"1-7","source":"Crossref","is-referenced-by-count":1,"title":["Genetic Algorithm-Driven IMC Mapping for CNNs Using Mixed Quantization and MLC FeFETs"],"prefix":"10.23919","author":[{"given":"Alptekin","family":"Vardar","sequence":"first","affiliation":[{"name":"Fraunhofer IPMS,Dresden,Germany"}]},{"given":"Franz","family":"M\u00fcller","sequence":"additional","affiliation":[{"name":"Fraunhofer IPMS,Dresden,Germany"}]},{"given":"Gonzalo","family":"Cu\u00f1arro","sequence":"additional","affiliation":[{"name":"Fraunhofer IPMS,Dresden,Germany"}]},{"given":"Nellie","family":"Laleni","sequence":"additional","affiliation":[{"name":"Fraunhofer IPMS,Dresden,Germany"}]},{"given":"Nandakishor","family":"Yadav","sequence":"additional","affiliation":[{"name":"Fraunhofer IPMS,Dresden,Germany"}]},{"given":"Thomas","family":"K\u00e4mpfe","sequence":"additional","affiliation":[{"name":"TU Braunschweig,Braunschweig,Germany"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1038\/s41928-018-0059-3"},{"key":"ref2","first-page":"247","article-title":"Chapter eight - energy-efficient deep learning inference on edge devices","volume-title":"Hardware Accelerator Systems for Artificial Intelligence and Machine Learning, ser. Advances in Computers","volume":"122","author":"Daghero","year":"2021"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/LSSC.2020.3010795"},{"issue":"7892","key":"ref4","doi-asserted-by":"crossref","first-page":"211","DOI":"10.1038\/s41586-021-04196-6","article-title":"A crossbar array of magnetoresistive memory devices for in-memory computing","volume":"601","author":"Jung","year":"2022","journal-title":"Nature"},{"issue":"7975","key":"ref5","doi-asserted-by":"crossref","first-page":"768","DOI":"10.1038\/s41586-023-06337-5","article-title":"An analog-ai chip for energy-efficient speech recognition and transcription","volume":"620","author":"Ambrogio","year":"2023","journal-title":"Nature"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TED.2018.2829122"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/LED.2021.3083219"},{"issue":"10","key":"ref8","doi-asserted-by":"crossref","first-page":"588","DOI":"10.1038\/s41928-020-00492-7","article-title":"The future of ferroelectric field-effect transistor technology","volume":"3","author":"Khan","year":"2020","journal-title":"Nature Electronics"},{"key":"ref9","article-title":"A white paper on neural network quantization","author":"Nagel","year":"2021"},{"issue":"1","key":"ref10","doi-asserted-by":"crossref","first-page":"6348","DOI":"10.1038\/s41467-023-42110-y","article-title":"First demonstration of in-memory computing crossbar using multi-level cell fefet","volume":"14","author":"Soliman","year":"2023","journal-title":"Nature Communications"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/LED.2023.3256583"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/VLSI-TSA51926.2021.9440081"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/IEDM19574.2021.9720631"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/IMW56887.2023.10145940"},{"issue":"8","key":"ref15","doi-asserted-by":"crossref","first-page":"675","DOI":"10.1038\/s42256-021-00356-5","article-title":"Automatic heterogeneous quantization of deep neural networks for low-latency inference on the edge for particle detectors","volume":"3","author":"Coelho","year":"2021","journal-title":"Nature Machine Intelligence"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-20083-0_16"},{"key":"ref17","article-title":"A practical mixed precision algorithm for post-training quantization","volume-title":"34th British Machine Vision Conference Workshop Proceedings, BMVC Workshop 2023, Aberdeen, UK, November 20\u201324","author":"Pandey","year":"2023"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ISCMI56532.2022.10068464"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00038"},{"issue":"7","key":"ref20","first-page":"9029","article-title":"Ompq: Orthogonal mixed precision quantization","volume-title":"Proceedings of the AAAI Conference on Artificial Intelligence","volume":"37","author":"Ma"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref22","article-title":"Learning multiple layers of features from tiny images","author":"Krizhevsky","year":"2012","journal-title":"University of Toronto"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/SMACD58065.2023.10192126"},{"key":"ref24","doi-asserted-by":"crossref","DOI":"10.1109\/ICIP49359.2023.10222687","article-title":"Fighting over-fitting with quantization for learning deep neural networks on noisy labels","author":"Tallec","year":"2023"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/4235.996017"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2013.2281535"}],"event":{"name":"2025 Design, Automation & Test in Europe Conference (DATE)","location":"Lyon, France","start":{"date-parts":[[2025,3,31]]},"end":{"date-parts":[[2025,4,2]]}},"container-title":["2025 Design, Automation & Test in Europe Conference (DATE)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10992638\/10992588\/10992694.pdf?arnumber=10992694","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,22]],"date-time":"2025-05-22T05:34:27Z","timestamp":1747892067000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10992694\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,3,31]]},"references-count":26,"URL":"https:\/\/doi.org\/10.23919\/date64628.2025.10992694","relation":{},"subject":[],"published":{"date-parts":[[2025,3,31]]}}}