{"id":"https://openalex.org/W2951841422","doi":"https://doi.org/10.1109/vlsi-dat.2019.8741635","title":"Beyond Digital Neuromorphic Hardware: Time-Based and Flash-Based Designs","display_name":"Beyond Digital Neuromorphic Hardware: Time-Based and Flash-Based Designs","publication_year":2019,"publication_date":"2019-04-01","ids":{"openalex":"https://openalex.org/W2951841422","doi":"https://doi.org/10.1109/vlsi-dat.2019.8741635","mag":"2951841422"},"language":"en","primary_location":{"id":"doi:10.1109/vlsi-dat.2019.8741635","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vlsi-dat.2019.8741635","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Symposium on VLSI Design, Automation and Test (VLSI-DAT)","raw_type":"proceedings-article"},"type":"article","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/A5101657412","display_name":"Hyung\u2010Il Kim","orcid":"https://orcid.org/0000-0001-6975-1126"},"institutions":[{"id":"https://openalex.org/I2800403580","display_name":"University of Minnesota System","ror":"https://ror.org/03grvy078","country_code":"US","type":"education","lineage":["https://openalex.org/I2800403580"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Hyung-Il Kim","raw_affiliation_strings":["Minnesota University"],"affiliations":[{"raw_affiliation_string":"Minnesota University","institution_ids":["https://openalex.org/I2800403580"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5101657412"],"corresponding_institution_ids":["https://openalex.org/I2800403580"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.04581115,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","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"}},"topics":[{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","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/T10320","display_name":"Neural Networks and Applications","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9929999709129333,"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":0.7493273019790649},{"id":"https://openalex.org/keywords/neuromorphic-engineering","display_name":"Neuromorphic engineering","score":0.6682896018028259},{"id":"https://openalex.org/keywords/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.6282539367675781},{"id":"https://openalex.org/keywords/application-specific-integrated-circuit","display_name":"Application-specific integrated circuit","score":0.6145808100700378},{"id":"https://openalex.org/keywords/adder","display_name":"Adder","score":0.5435689091682434},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.48477786779403687},{"id":"https://openalex.org/keywords/efficient-energy-use","display_name":"Efficient energy use","score":0.4796591103076935},{"id":"https://openalex.org/keywords/static-random-access-memory","display_name":"Static random-access memory","score":0.4721051752567291},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.4704381823539734},{"id":"https://openalex.org/keywords/digital-electronics","display_name":"Digital electronics","score":0.45902925729751587},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.43942806124687195},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.43939635157585144},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3308390974998474},{"id":"https://openalex.org/keywords/electronic-circuit","display_name":"Electronic circuit","score":0.2987460494041443},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.15673470497131348},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.13594946265220642},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.1213209331035614},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12042677402496338},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09237650036811829}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7493273019790649},{"id":"https://openalex.org/C151927369","wikidata":"https://www.wikidata.org/wiki/Q1981312","display_name":"Neuromorphic engineering","level":3,"score":0.6682896018028259},{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.6282539367675781},{"id":"https://openalex.org/C77390884","wikidata":"https://www.wikidata.org/wiki/Q217302","display_name":"Application-specific integrated circuit","level":2,"score":0.6145808100700378},{"id":"https://openalex.org/C164620267","wikidata":"https://www.wikidata.org/wiki/Q376953","display_name":"Adder","level":3,"score":0.5435689091682434},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.48477786779403687},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.4796591103076935},{"id":"https://openalex.org/C68043766","wikidata":"https://www.wikidata.org/wiki/Q267416","display_name":"Static random-access memory","level":2,"score":0.4721051752567291},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.4704381823539734},{"id":"https://openalex.org/C81843906","wikidata":"https://www.wikidata.org/wiki/Q173156","display_name":"Digital electronics","level":3,"score":0.45902925729751587},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.43942806124687195},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.43939635157585144},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3308390974998474},{"id":"https://openalex.org/C134146338","wikidata":"https://www.wikidata.org/wiki/Q1815901","display_name":"Electronic circuit","level":2,"score":0.2987460494041443},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.15673470497131348},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.13594946265220642},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.1213209331035614},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12042677402496338},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09237650036811829}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vlsi-dat.2019.8741635","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vlsi-dat.2019.8741635","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Symposium on VLSI Design, Automation and Test (VLSI-DAT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.8899999856948853}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2986579802","https://openalex.org/W3108691306","https://openalex.org/W4389237622","https://openalex.org/W2166309310","https://openalex.org/W4385753159","https://openalex.org/W4200152843","https://openalex.org/W4387251107","https://openalex.org/W4214914769","https://openalex.org/W4283271085","https://openalex.org/W2213903980"],"abstract_inverted_index":{"AI":[0],"chips":[1],"presented":[2],"at":[3],"recent":[4,98],"circuits":[5],"and":[6,24,29,38,54,89,108,120,134,173],"technology":[7],"conferences":[8],"can":[9,113,128,142],"be":[10,163],"generally":[11],"classified":[12],"into":[13],"two":[14,97],"computing":[15,107],"architectures:":[16],"(1)":[17],"Digital":[18],"architectures":[19,41],"such":[20],"as":[21],"GPU,":[22],"FPGA,":[23],"ASIC":[25],"where":[26,42],"Boolean":[27],"adders":[28],"multipliers":[30],"are":[31,45,58,152],"used":[32],"for":[33,61,82,155],"the":[34,62,77],"multiply-and-accumulate":[35],"(MAC)":[36],"operation,":[37],"(2)":[39],"analog":[40,121],"synaptic":[43],"weights":[44],"stored":[46],"in":[47,73,132],"an":[48,166],"SRAM":[49],"or":[50],"RRAM":[51],"memory":[52],"array":[53],"multiple":[55],"cell":[56],"currents":[57],"summed":[59],"up":[60],"MAC":[63],"operation.":[64],"The":[65,149],"former":[66],"is":[67],"likely":[68],"to":[69,124,139,162],"see":[70,80],"commercial":[71],"success":[72],"mainstream":[74],"products":[75],"while":[76,137],"latter":[78],"will":[79],"traction":[81],"emerging":[83],"applications":[84],"mostly":[85],"driven":[86],"by":[87],"academia":[88],"industry":[90],"research":[91],"groups.":[92],"This":[93],"talk":[94],"focuses":[95],"on":[96,104,165],"neural":[99],"net":[100],"hardware":[101],"paradigms,":[102],"based":[103],"time":[105],"domain":[106],"embedded":[109],"flash":[110],"arrays,":[111],"which":[112],"offer":[114],"a":[115],"middle":[116],"ground":[117],"between":[118],"digital":[119],"architectures.":[122],"Compared":[123],"digital,":[125],"these":[126],"approaches":[127,151],"achieve":[129],"significant":[130],"reduction":[131],"area":[133,174],"energy":[135,172],"consumption":[136],"compared":[138],"analog,":[140],"they":[141],"provide":[143],"higher":[144],"resilience":[145],"against":[146],"process-voltage-temperature":[147],"variation.":[148],"proposed":[150],"particularly":[153],"suitable":[154],"light-weight":[156],"moderate-precision":[157],"inference":[158],"tasks":[159],"that":[160],"need":[161],"performed":[164],"edge":[167],"device":[168],"with":[169],"extremely":[170],"stringent":[171],"requirements.":[175]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
