{"id":"https://openalex.org/W3176884965","doi":"https://doi.org/10.1109/aicas51828.2021.9458476","title":"Neural Network Acceleration and Voice Recognition with a Flash-based In-Memory Computing SoC","display_name":"Neural Network Acceleration and Voice Recognition with a Flash-based In-Memory Computing SoC","publication_year":2021,"publication_date":"2021-06-06","ids":{"openalex":"https://openalex.org/W3176884965","doi":"https://doi.org/10.1109/aicas51828.2021.9458476","mag":"3176884965"},"language":"en","primary_location":{"id":"doi:10.1109/aicas51828.2021.9458476","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aicas51828.2021.9458476","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 3rd International Conference on Artificial Intelligence Circuits and Systems (AICAS)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101461288","display_name":"Liang Zhao","orcid":"https://orcid.org/0000-0002-3695-627X"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Zhao","raw_affiliation_strings":["College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China","Hefei Reliance Memory Ltd, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"Hefei Reliance Memory Ltd, Hefei, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035471695","display_name":"Shifan Gao","orcid":"https://orcid.org/0000-0002-1244-0199"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shifan Gao","raw_affiliation_strings":["College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045637364","display_name":"Shengbo Zhang","orcid":"https://orcid.org/0000-0002-7886-9668"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shengbo Zhang","raw_affiliation_strings":["Flash Billion Semiconductor Co. Ltd, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Flash Billion Semiconductor Co. Ltd, Shanghai, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061092262","display_name":"Xiang Qiu","orcid":"https://orcid.org/0000-0001-8882-4212"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiang Qiu","raw_affiliation_strings":["Flash Billion Semiconductor Co. Ltd, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Flash Billion Semiconductor Co. Ltd, Shanghai, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089823903","display_name":"Fan Yang","orcid":"https://orcid.org/0000-0002-1245-1197"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan Yang","raw_affiliation_strings":["College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100428183","display_name":"Jie Li","orcid":"https://orcid.org/0000-0001-8483-6240"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jie Li","raw_affiliation_strings":["Hefei Reliance Memory Ltd, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hefei Reliance Memory Ltd, Hefei, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016073515","display_name":"Zezhi Chen","orcid":"https://orcid.org/0000-0003-0455-4329"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zezhi Chen","raw_affiliation_strings":["Hefei Reliance Memory Ltd, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hefei Reliance Memory Ltd, Hefei, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077280762","display_name":"Yi Zhao","orcid":"https://orcid.org/0000-0001-5368-3595"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Zhao","raw_affiliation_strings":["College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China","Nanhu Academy of Electronics and Information Technology, Jiaxing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"Nanhu Academy of Electronics and Information Technology, Jiaxing, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10472","display_name":"Semiconductor materials and devices","score":0.995199978351593,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8261089324951172},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.5433171391487122},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.4836784303188324},{"id":"https://openalex.org/keywords/flash-memory","display_name":"Flash memory","score":0.4654897451400757},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4557187259197235},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.441425621509552},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.4349468946456909},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.3614547848701477},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.28026729822158813},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.14482241868972778}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8261089324951172},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.5433171391487122},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.4836784303188324},{"id":"https://openalex.org/C2776531357","wikidata":"https://www.wikidata.org/wiki/Q174077","display_name":"Flash memory","level":2,"score":0.4654897451400757},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4557187259197235},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.441425621509552},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.4349468946456909},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.3614547848701477},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28026729822158813},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.14482241868972778},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/aicas51828.2021.9458476","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aicas51828.2021.9458476","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 3rd International Conference on Artificial Intelligence Circuits and Systems (AICAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.8899999856948853,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320337504","display_name":"Research and Development","ror":"https://ror.org/027s68j25"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1540755418","https://openalex.org/W2194775991","https://openalex.org/W2627034335","https://openalex.org/W2738585373","https://openalex.org/W2777126322","https://openalex.org/W2785141883","https://openalex.org/W2805362231","https://openalex.org/W2807750997","https://openalex.org/W2963460174","https://openalex.org/W2969335882","https://openalex.org/W3005818927","https://openalex.org/W3092585568","https://openalex.org/W3092601938","https://openalex.org/W4235855303","https://openalex.org/W6632143837"],"related_works":["https://openalex.org/W96612179","https://openalex.org/W3013760193","https://openalex.org/W3162668736","https://openalex.org/W4366999913","https://openalex.org/W4281678247","https://openalex.org/W4381489698","https://openalex.org/W3014007418","https://openalex.org/W2382858638","https://openalex.org/W2347362599","https://openalex.org/W2349966504"],"abstract_inverted_index":{"AI":[0,65],"inference":[1,66],"based":[2,92],"on":[3,93],"novel":[4,78],"compute-in-memory":[5],"devices":[6],"has":[7],"shown":[8],"clear":[9],"advantages":[10],"in":[11,109],"terms":[12],"of":[13,52,77],"power,":[14],"speed":[15],"and":[16,26,57,74,125],"storage":[17,72],"density,":[18],"making":[19],"it":[20],"a":[21,35,110],"promising":[22],"candidate":[23],"for":[24,67,128],"IoT":[25],"edge":[27],"computing":[28],"applications.":[29,132],"In":[30],"this":[31],"work,":[32],"we":[33],"demonstrate":[34],"fully":[36],"integrated":[37],"system-on-chip":[38],"(SoC)":[39],"design":[40,56],"with":[41],"embedded":[42],"Flash":[43,79],"memories":[44,80],"as":[45],"the":[46,101,114],"neural":[47],"network":[48],"accelerator.":[49],"A":[50],"series":[51],"techniques":[53,91],"from":[54],"device,":[55],"system":[58,118],"perspectives":[59],"are":[60,81,96],"combined":[61],"to":[62,83,98],"enable":[63],"efficient":[64],"resource-constrained":[68],"voice":[69,116],"recognition.":[70],"7-bit/cell":[71],"capability":[73],"self-adaptive":[75],"write":[76],"leveraged":[82],"achieve":[84,120],"state-of-the-art":[85],"overall":[86],"performance.":[87],"Also,":[88],"model":[89],"deployment":[90],"transfer":[94],"learning":[95],"explored":[97],"significantly":[99],"improve":[100],"accuracy":[102,127],"loss":[103],"during":[104],"weight":[105],"data":[106],"deployment.":[107],"Integrated":[108],"compact":[111],"form":[112],"factor,":[113],"whole":[115],"recognition":[117],"can":[119],">10":[121],"TOPS/W":[122],"energy":[123],"efficiency":[124],"~95%":[126],"real-time":[129],"keyword":[130],"spotting":[131]},"counts_by_year":[{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}