{"id":"https://openalex.org/W4385624882","doi":"https://doi.org/10.1109/newcas57931.2023.10198204","title":"Nano-Magnetic Logic based Architecture for Edge Inference using Tsetlin Machine","display_name":"Nano-Magnetic Logic based Architecture for Edge Inference using Tsetlin Machine","publication_year":2023,"publication_date":"2023-06-26","ids":{"openalex":"https://openalex.org/W4385624882","doi":"https://doi.org/10.1109/newcas57931.2023.10198204"},"language":"en","primary_location":{"id":"doi:10.1109/newcas57931.2023.10198204","is_oa":false,"landing_page_url":"https://doi.org/10.1109/newcas57931.2023.10198204","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 21st IEEE Interregional NEWCAS Conference (NEWCAS)","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/A5057711864","display_name":"Ch. Ravi Kishore","orcid":"https://orcid.org/0000-0001-5536-5785"},"institutions":[{"id":"https://openalex.org/I65181880","display_name":"Indian Institute of Technology Hyderabad","ror":"https://ror.org/01j4v3x97","country_code":"IN","type":"education","lineage":["https://openalex.org/I65181880"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"C Kishore","raw_affiliation_strings":["AESICD Lab, IIT Hyderabad,Telangana,India,502285"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AESICD Lab, IIT Hyderabad,Telangana,India,502285","institution_ids":["https://openalex.org/I65181880"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049492305","display_name":"Santhosh Sivasubramani","orcid":"https://orcid.org/0000-0003-1607-0989"},"institutions":[{"id":"https://openalex.org/I65181880","display_name":"Indian Institute of Technology Hyderabad","ror":"https://ror.org/01j4v3x97","country_code":"IN","type":"education","lineage":["https://openalex.org/I65181880"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Santhosh Sivasubramani","raw_affiliation_strings":["AESICD Lab, IIT Hyderabad,Telangana,India,502285"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AESICD Lab, IIT Hyderabad,Telangana,India,502285","institution_ids":["https://openalex.org/I65181880"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077777787","display_name":"Rishad Shafik","orcid":"https://orcid.org/0000-0001-5444-537X"},"institutions":[{"id":"https://openalex.org/I84884186","display_name":"Newcastle University","ror":"https://ror.org/01kj2bm70","country_code":"GB","type":"education","lineage":["https://openalex.org/I84884186"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Rishad Shafik","raw_affiliation_strings":["Newcastle University,School of Engineering,Newcastle,UK","School of Engineering, Newcastle University, Newcastle, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Newcastle University,School of Engineering,Newcastle,UK","institution_ids":["https://openalex.org/I84884186"]},{"raw_affiliation_string":"School of Engineering, Newcastle University, Newcastle, UK","institution_ids":["https://openalex.org/I84884186"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044085104","display_name":"Amit Acharyya","orcid":"https://orcid.org/0000-0002-5636-0676"},"institutions":[{"id":"https://openalex.org/I65181880","display_name":"Indian Institute of Technology Hyderabad","ror":"https://ror.org/01j4v3x97","country_code":"IN","type":"education","lineage":["https://openalex.org/I65181880"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Amit Acharyya","raw_affiliation_strings":["AESICD Lab, IIT Hyderabad,Telangana,India,502285"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AESICD Lab, IIT Hyderabad,Telangana,India,502285","institution_ids":["https://openalex.org/I65181880"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5588,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.70675415,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"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/T13182","display_name":"Quantum-Dot Cellular Automata","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T13182","display_name":"Quantum-Dot Cellular Automata","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":0.9984999895095825,"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/T10682","display_name":"Quantum Computing Algorithms and Architecture","score":0.9958999752998352,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.595404326915741},{"id":"https://openalex.org/keywords/nanomagnet","display_name":"Nanomagnet","score":0.5095498561859131},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.49711039662361145},{"id":"https://openalex.org/keywords/combinational-logic","display_name":"Combinational logic","score":0.49503082036972046},{"id":"https://openalex.org/keywords/inference-engine","display_name":"Inference engine","score":0.49366673827171326},{"id":"https://openalex.org/keywords/logic-gate","display_name":"Logic gate","score":0.49236881732940674},{"id":"https://openalex.org/keywords/cmos","display_name":"CMOS","score":0.46945756673812866},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45055320858955383},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3560630679130554},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.3453460931777954},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.34143561124801636},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.28641068935394287},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.18976569175720215},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1035851538181305}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.595404326915741},{"id":"https://openalex.org/C131872197","wikidata":"https://www.wikidata.org/wiki/Q3870157","display_name":"Nanomagnet","level":4,"score":0.5095498561859131},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.49711039662361145},{"id":"https://openalex.org/C81409106","wikidata":"https://www.wikidata.org/wiki/Q76505","display_name":"Combinational logic","level":3,"score":0.49503082036972046},{"id":"https://openalex.org/C46743427","wikidata":"https://www.wikidata.org/wiki/Q1341685","display_name":"Inference engine","level":3,"score":0.49366673827171326},{"id":"https://openalex.org/C131017901","wikidata":"https://www.wikidata.org/wiki/Q170451","display_name":"Logic gate","level":2,"score":0.49236881732940674},{"id":"https://openalex.org/C46362747","wikidata":"https://www.wikidata.org/wiki/Q173431","display_name":"CMOS","level":2,"score":0.46945756673812866},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45055320858955383},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3560630679130554},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.3453460931777954},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.34143561124801636},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.28641068935394287},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.18976569175720215},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1035851538181305},{"id":"https://openalex.org/C115260700","wikidata":"https://www.wikidata.org/wiki/Q11408","display_name":"Magnetic field","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C32546565","wikidata":"https://www.wikidata.org/wiki/Q856711","display_name":"Magnetization","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/newcas57931.2023.10198204","is_oa":false,"landing_page_url":"https://doi.org/10.1109/newcas57931.2023.10198204","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 21st IEEE Interregional NEWCAS Conference (NEWCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8799999952316284,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1555624222","https://openalex.org/W1983539309","https://openalex.org/W1994910407","https://openalex.org/W2013441375","https://openalex.org/W2026382845","https://openalex.org/W2027152886","https://openalex.org/W2054412737","https://openalex.org/W2073646325","https://openalex.org/W2087447558","https://openalex.org/W2096704803","https://openalex.org/W2144850369","https://openalex.org/W2146911086","https://openalex.org/W2153631338","https://openalex.org/W2167610579","https://openalex.org/W2169757251","https://openalex.org/W2170998169","https://openalex.org/W2795849550","https://openalex.org/W2883931722","https://openalex.org/W2897446717","https://openalex.org/W2945999242","https://openalex.org/W2955399747","https://openalex.org/W2967499091","https://openalex.org/W2996012579","https://openalex.org/W3005093461","https://openalex.org/W3015907609","https://openalex.org/W3043722257","https://openalex.org/W3047761023","https://openalex.org/W3098932247","https://openalex.org/W3103225473","https://openalex.org/W3111857933","https://openalex.org/W3116888807","https://openalex.org/W3119720298","https://openalex.org/W3155380307","https://openalex.org/W3174716710","https://openalex.org/W4312313058","https://openalex.org/W4313340312","https://openalex.org/W6762881066","https://openalex.org/W6771945890","https://openalex.org/W6773800240","https://openalex.org/W6784826288","https://openalex.org/W6788315300","https://openalex.org/W6878426367"],"related_works":["https://openalex.org/W2320531805","https://openalex.org/W4200627911","https://openalex.org/W1971684003","https://openalex.org/W1968180507","https://openalex.org/W2068194975","https://openalex.org/W3128941340","https://openalex.org/W2170998169","https://openalex.org/W2074526596","https://openalex.org/W4242010157","https://openalex.org/W3114476551"],"abstract_inverted_index":{"High":[0],"learning":[1,24],"accuracy":[2],"with":[3],"less":[4,157],"time,":[5],"low":[6,48],"energy":[7,148],"and":[8,50,101,105,142,162],"small":[9],"memory":[10],"footprint":[11],"made":[12],"Tsetlin":[13,73],"Machine":[14],"(TM)":[15],"an":[16],"emerging":[17],"edge":[18,69],"inference":[19,70,93,131],"alternative":[20,39],"to":[21,40,45,75,84,126,154,159],"traditional":[22],"machine":[23,74],"algorithms":[25],"such":[26],"as":[27],"neural":[28],"networks":[29],"(NN).":[30],"Advances":[31],"in":[32],"nanomagnetic":[33],"logic":[34],"are":[35],"considered":[36],"a":[37,63,137],"potential":[38],"CMOS-based":[41],"digital":[42],"circuits":[43],"due":[44],"their":[46],"non-volatility,":[47],"power":[49,164],"high":[51],"integration":[52],"density.":[53],"Adapting":[54],"the":[55,72,99,106,120,163,167,174],"advantages":[56],"of":[57,139,170],"these":[58],"two":[59],"technologies,":[60],"we":[61],"propose":[62],"novel":[64],"nano-magnetic":[65],"logic-based":[66],"architecture":[67,94,176],"for":[68,119,172],"using":[71],"build":[76],"energy-efficient":[77,86],"applications.":[78,89],"This":[79],"design":[80,125],"can":[81],"be":[82],"expanded":[83],"construct":[85],"Convolution":[87],"TM":[88,92,130],"The":[90,114,123],"proposed":[91,124,175],"is":[95,117,152,177],"designed":[96],"by":[97,166],"exploiting":[98],"shape":[100],"positional":[102],"hybrid":[103],"anisotropy":[104],"antifer-romagnetically":[107],"coupled":[108],"fixed":[109],"input":[110],"majority":[111,134],"gate":[112],"(MG).":[113],"micromagnetic":[115],"tool":[116],"used":[118],"simulation":[121],"framework.":[122],"implement":[127],"2":[128],"clause":[129],"requires":[132],"15":[133],"gates":[135],"comprising":[136],"total":[138,168],"60":[140],"nanomagnets":[141,171],"14":[143],"interconnect":[144],"magnets,":[145],"requiring":[146],"$1.24X10^{-19}J$":[147],"per":[149],"operation":[150],"which":[151],"$10^{5}$":[153],"$10^{6}$":[155],"times":[156],"compared":[158],"CMOS":[160],"logic,":[161],"consumed":[165],"number":[169],"implementing":[173],"0.00082":[178],"$\\mu":[179],"\\mathrm{W}$.":[180]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}