{"id":"https://openalex.org/W4411726349","doi":"https://doi.org/10.1109/iscas56072.2025.11043537","title":"A framework for analog-digital mixed-precision neural network training and inference","display_name":"A framework for analog-digital mixed-precision neural network training and inference","publication_year":2025,"publication_date":"2025-05-25","ids":{"openalex":"https://openalex.org/W4411726349","doi":"https://doi.org/10.1109/iscas56072.2025.11043537"},"language":"en","primary_location":{"id":"doi:10.1109/iscas56072.2025.11043537","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas56072.2025.11043537","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Symposium on Circuits and Systems (ISCAS)","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/A5092653457","display_name":"Athanasios Vasilopoulos","orcid":"https://orcid.org/0009-0001-9081-6139"},"institutions":[{"id":"https://openalex.org/I4210126328","display_name":"IBM Research - Zurich","ror":"https://ror.org/02js37d36","country_code":"CH","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210126328"]}],"countries":["CH"],"is_corresponding":true,"raw_author_name":"Athanasios Vasilopoulos","raw_affiliation_strings":["IBM Research Europe,Switzerland"],"affiliations":[{"raw_affiliation_string":"IBM Research Europe,Switzerland","institution_ids":["https://openalex.org/I4210126328"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5118664220","display_name":"Emma Boulharts","orcid":null},"institutions":[{"id":"https://openalex.org/I4210126328","display_name":"IBM Research - Zurich","ror":"https://ror.org/02js37d36","country_code":"CH","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210126328"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Emma Boulharts","raw_affiliation_strings":["IBM Research Europe,Switzerland"],"affiliations":[{"raw_affiliation_string":"IBM Research Europe,Switzerland","institution_ids":["https://openalex.org/I4210126328"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067564596","display_name":"Corey Lammie","orcid":"https://orcid.org/0000-0001-5564-1356"},"institutions":[{"id":"https://openalex.org/I4210126328","display_name":"IBM Research - Zurich","ror":"https://ror.org/02js37d36","country_code":"CH","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210126328"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Corey Lammie","raw_affiliation_strings":["IBM Research Europe,Switzerland"],"affiliations":[{"raw_affiliation_string":"IBM Research Europe,Switzerland","institution_ids":["https://openalex.org/I4210126328"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049604078","display_name":"Julian B\u00fcchel","orcid":"https://orcid.org/0000-0001-9495-7150"},"institutions":[{"id":"https://openalex.org/I4210126328","display_name":"IBM Research - Zurich","ror":"https://ror.org/02js37d36","country_code":"CH","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210126328"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Julian B\u00fcchel","raw_affiliation_strings":["IBM Research Europe,Switzerland"],"affiliations":[{"raw_affiliation_string":"IBM Research Europe,Switzerland","institution_ids":["https://openalex.org/I4210126328"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022771914","display_name":"Hadjer Benmeziane","orcid":"https://orcid.org/0000-0002-5259-0749"},"institutions":[{"id":"https://openalex.org/I4210126328","display_name":"IBM Research - Zurich","ror":"https://ror.org/02js37d36","country_code":"CH","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210126328"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Hadjer Benmeziane","raw_affiliation_strings":["IBM Research Europe,Switzerland"],"affiliations":[{"raw_affiliation_string":"IBM Research Europe,Switzerland","institution_ids":["https://openalex.org/I4210126328"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027282232","display_name":"Manuel Le Gallo","orcid":"https://orcid.org/0000-0003-1600-6151"},"institutions":[{"id":"https://openalex.org/I4210126328","display_name":"IBM Research - Zurich","ror":"https://ror.org/02js37d36","country_code":"CH","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210126328"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Manuel Le Gallo","raw_affiliation_strings":["IBM Research Europe,Switzerland"],"affiliations":[{"raw_affiliation_string":"IBM Research Europe,Switzerland","institution_ids":["https://openalex.org/I4210126328"]}]},{"author_position":"last","author":{"id":null,"display_name":"Abu Sebastian","orcid":null},"institutions":[{"id":"https://openalex.org/I4210126328","display_name":"IBM Research - Zurich","ror":"https://ror.org/02js37d36","country_code":"CH","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210126328"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Abu Sebastian","raw_affiliation_strings":["IBM Research Europe,Switzerland"],"affiliations":[{"raw_affiliation_string":"IBM Research Europe,Switzerland","institution_ids":["https://openalex.org/I4210126328"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5092653457"],"corresponding_institution_ids":["https://openalex.org/I4210126328"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07459912,"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":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9848999977111816,"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"}},"topics":[{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9848999977111816,"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/T12564","display_name":"Sensor Technology and Measurement Systems","score":0.9473999738693237,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7755818963050842},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.6737405061721802},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6624338030815125},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6608765721321106},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5116396546363831},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38153278827667236}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7755818963050842},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.6737405061721802},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6624338030815125},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6608765721321106},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5116396546363831},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38153278827667236},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscas56072.2025.11043537","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas56072.2025.11043537","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320334322","display_name":"HORIZON EUROPE Framework Programme","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W2194775991","https://openalex.org/W3013080934","https://openalex.org/W3089558791","https://openalex.org/W3112740243","https://openalex.org/W3176606713","https://openalex.org/W3202028501","https://openalex.org/W4220837341","https://openalex.org/W4221119758","https://openalex.org/W4292121737","https://openalex.org/W4308090791","https://openalex.org/W4313251083","https://openalex.org/W4385245566","https://openalex.org/W4385896568","https://openalex.org/W4386293192","https://openalex.org/W4389082012","https://openalex.org/W4391594670","https://openalex.org/W4391799179","https://openalex.org/W4394909859"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4387369504","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"Recent":[0],"advancements":[1],"in":[2,72],"AI":[3],"hardware":[4],"highlight":[5],"the":[6,57,78,104,115,135,152],"potential":[7],"of":[8,44,106,117,137,151,155],"mixed-signal":[9,111],"accelerators,":[10],"which":[11],"integrate":[12],"analog":[13,74],"computation":[14],"for":[15,140],"matrix":[16],"multiplications":[17],"with":[18,80],"reduced-precision":[19],"digital":[20,76],"operations,":[21],"to":[22,37],"achieve":[23],"superior":[24],"performance":[25],"and":[26,41,83,129],"energy":[27],"efficiency.":[28],"In":[29],"this":[30],"paper,":[31],"we":[32],"present":[33],"a":[34,65,119,125,130],"framework":[35,52,88,120],"designed":[36],"perform":[38],"hardware-aware":[39],"training":[40,93],"inference":[42],"evaluation":[43],"neural":[45],"networks":[46],"(NNs)":[47],"on":[48,110,124],"such":[49,118],"accelerators.":[50,112],"This":[51],"extends":[53],"an":[54],"existing":[55],"toolkit,":[56],"IBM":[58],"Analog":[59],"Hardware":[60],"Acceleration":[61],"Kit":[62],"(AIHWKit),":[63],"using":[64],"quantization":[66,84],"library,":[67],"enabling":[68],"flexible":[69],"layer-wise":[70],"deployment":[71],"either":[73],"or":[75],"units,":[77],"latter":[79],"configurable":[81],"precision":[82],"options.":[85],"Our":[86,145],"combined":[87],"supports":[89],"simultaneous":[90],"quantization-and":[91],"analog-aware":[92],"as":[94,96,149],"well":[95],"post-training":[97],"calibration":[98],"routines.":[99],"It":[100],"can":[101],"also":[102],"evaluate":[103],"accuracy":[105,142],"NNs":[107],"when":[108],"deployed":[109],"We":[113],"demonstrate":[114],"need":[116],"through":[121],"ablation":[122],"studies":[123],"ResNet-based":[126],"vision":[127],"model":[128],"BERT-based":[131],"language":[132],"model,":[133],"highlighting":[134],"importance":[136],"its":[138],"functionality":[139],"maximizing":[141],"during":[143],"deployment.":[144],"contribution":[146],"is":[147],"open-sourced":[148],"part":[150],"core":[153],"code":[154],"AIHWKit":[156],"[1].":[157]},"counts_by_year":[],"updated_date":"2026-03-25T23:56:10.502304","created_date":"2025-10-10T00:00:00"}