{"id":"https://openalex.org/W4409659999","doi":"https://doi.org/10.1109/lascas64004.2025.10966236","title":"New Multiplier and Input Layer in Current Mode for Analog Artificial Neural Networks","display_name":"New Multiplier and Input Layer in Current Mode for Analog Artificial Neural Networks","publication_year":2025,"publication_date":"2025-02-25","ids":{"openalex":"https://openalex.org/W4409659999","doi":"https://doi.org/10.1109/lascas64004.2025.10966236"},"language":"en","primary_location":{"id":"doi:10.1109/lascas64004.2025.10966236","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lascas64004.2025.10966236","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 16th Latin America Symposium on Circuits and Systems (LASCAS)","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/A5101143431","display_name":"Zhiwei Ma","orcid":"https://orcid.org/0009-0005-8506-0487"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Zhiwei Ma","raw_affiliation_strings":["C&#x00F4;te d&#x0027;Azur University,Polytech&#x0027;Lab, UPR UniCA 7498,Sophia Antipolis,France"],"affiliations":[{"raw_affiliation_string":"C&#x00F4;te d&#x0027;Azur University,Polytech&#x0027;Lab, UPR UniCA 7498,Sophia Antipolis,France","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053814554","display_name":"G. Jacquemod","orcid":"https://orcid.org/0000-0003-2915-7653"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gilles Jacquemod","raw_affiliation_strings":["C&#x00F4;te d&#x0027;Azur University,Polytech&#x0027;Lab, UPR UniCA 7498,Sophia Antipolis,France"],"affiliations":[{"raw_affiliation_string":"C&#x00F4;te d&#x0027;Azur University,Polytech&#x0027;Lab, UPR UniCA 7498,Sophia Antipolis,France","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047216485","display_name":"Yoann Charlon","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yoann Charlon","raw_affiliation_strings":["C&#x00F4;te d&#x0027;Azur University,Polytech&#x0027;Lab, UPR UniCA 7498,Sophia Antipolis,France"],"affiliations":[{"raw_affiliation_string":"C&#x00F4;te d&#x0027;Azur University,Polytech&#x0027;Lab, UPR UniCA 7498,Sophia Antipolis,France","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101143431"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0402283,"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":0.8242999911308289,"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":0.8242999911308289,"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":0.7204999923706055,"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/artificial-neural-network","display_name":"Artificial neural network","score":0.6748294234275818},{"id":"https://openalex.org/keywords/analog-multiplier","display_name":"Analog multiplier","score":0.6388036012649536},{"id":"https://openalex.org/keywords/multiplier","display_name":"Multiplier (economics)","score":0.6148766875267029},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5776147246360779},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2670576572418213},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11951127648353577},{"id":"https://openalex.org/keywords/analog-signal","display_name":"Analog signal","score":0.11739706993103027}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6748294234275818},{"id":"https://openalex.org/C98142538","wikidata":"https://www.wikidata.org/wiki/Q485005","display_name":"Analog multiplier","level":4,"score":0.6388036012649536},{"id":"https://openalex.org/C124584101","wikidata":"https://www.wikidata.org/wiki/Q1053266","display_name":"Multiplier (economics)","level":2,"score":0.6148766875267029},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5776147246360779},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2670576572418213},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11951127648353577},{"id":"https://openalex.org/C13412647","wikidata":"https://www.wikidata.org/wiki/Q174948","display_name":"Analog signal","level":3,"score":0.11739706993103027},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lascas64004.2025.10966236","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lascas64004.2025.10966236","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 16th Latin America Symposium on Circuits and Systems (LASCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1573813033","https://openalex.org/W1578671836","https://openalex.org/W1976213745","https://openalex.org/W1994560788","https://openalex.org/W2232520249","https://openalex.org/W2516051559","https://openalex.org/W2560195724","https://openalex.org/W2807728167","https://openalex.org/W2906090557","https://openalex.org/W2955400960","https://openalex.org/W2982327504","https://openalex.org/W2994235733","https://openalex.org/W3127753804","https://openalex.org/W4391450616","https://openalex.org/W6783537969"],"related_works":["https://openalex.org/W2089088242","https://openalex.org/W2145104756","https://openalex.org/W2343687813","https://openalex.org/W2113697565","https://openalex.org/W1965508384","https://openalex.org/W2997198572","https://openalex.org/W2117233677","https://openalex.org/W2760424941","https://openalex.org/W2165446669","https://openalex.org/W2138665830"],"abstract_inverted_index":{"Thanks":[0],"to":[1,116],"FDSOI":[2,84],"(Fully":[3],"Depleted":[4],"Silicon":[5],"On":[6],"Insulator)":[7],"technology,":[8],"this":[9,46,59],"paper":[10],"presents":[11],"a":[12,16,87,118],"new":[13],"implementation":[14],"of":[15,22,45,83,122,128],"multiplier":[17],"and":[18,56,81,106],"the":[19,35,79,93,126,129],"input":[20,94],"layer":[21,95],"an":[23],"Analog":[24],"ANN":[25],"(Artificial":[26],"Neural":[27],"Network).":[28],"The":[29],"circuit":[30],"architecture":[31,60],"is":[32],"designed":[33],"around":[34],"Multi-Layer":[36],"Perceptron":[37],"(MLP)":[38],"algorithm":[39,47],"with":[40,63],"back-propagation.":[41],"Traditional":[42],"analog":[43],"implementations":[44],"typically":[48],"rely":[49],"on":[50],"multipliers,":[51,77],"which":[52],"consume":[53],"substantial":[54],"area":[55,105],"power.":[57],"Additionally,":[58],"faces":[61],"challenges":[62],"weight":[64],"storage.":[65],"To":[66],"overcome":[67],"these":[68],"limitations,":[69],"we":[70,90],"propose":[71],"using":[72,96],"advanced":[73],"current":[74,97],"mirrors":[75,98],"as":[76],"leveraging":[78],"efficiency":[80],"benefits":[82],"technology.":[85],"Using":[86],"similar":[88],"approach,":[89],"have":[91],"realized":[92],"without":[99],"digital-to-analog":[100],"converters,":[101],"reducing":[102],"both":[103],"silicon":[104],"power":[107],"consumption.":[108],"This":[109],"dual":[110],"reduction":[111],"will":[112],"eventually":[113],"enable":[114],"us":[115],"implement":[117],"much":[119],"larger":[120],"number":[121],"neurons,":[123],"thus":[124],"increasing":[125],"complexity":[127],"final":[130],"artificial":[131],"neural":[132],"network.":[133]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
