{"id":"https://openalex.org/W7166561581","doi":"https://doi.org/10.48550/arxiv.2606.27892","title":"Co-Optimization of Analog Kolmogorov-Arnold Networks for Low-Power Function Approximation in Flexible Electronics","display_name":"Co-Optimization of Analog Kolmogorov-Arnold Networks for Low-Power Function Approximation in Flexible Electronics","publication_year":2026,"publication_date":"2026-06-26","ids":{"openalex":"https://openalex.org/W7166561581","doi":"https://doi.org/10.48550/arxiv.2606.27892"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.27892","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.27892","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2606.27892","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5114452426","display_name":"Paula Carolina Lozano Duarte","orcid":"https://orcid.org/0009-0009-8107-4565"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Duarte, Paula Carolina Lozano","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139567294","display_name":"Georgios Zervakis","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zervakis, Georgios","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139615994","display_name":"Mehdi Tahoori","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tahoori, Mehdi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5136248065","display_name":"Sani Nassif","orcid":"https://orcid.org/0000-0002-5096-4794"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nassif, Sani","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":0.257999986410141,"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/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":0.257999986410141,"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/T10323","display_name":"Analog and Mixed-Signal Circuit Design","score":0.2345000058412552,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T11697","display_name":"Numerical Methods and Algorithms","score":0.10260000079870224,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/function-approximation","display_name":"Function approximation","score":0.5436999797821045},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.46799999475479126},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.4456999897956848},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.43709999322891235},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.361299991607666},{"id":"https://openalex.org/keywords/emulation","display_name":"Emulation","score":0.3601999878883362},{"id":"https://openalex.org/keywords/approximation-algorithm","display_name":"Approximation algorithm","score":0.3499999940395355},{"id":"https://openalex.org/keywords/approximation-error","display_name":"Approximation error","score":0.34290000796318054},{"id":"https://openalex.org/keywords/electronics","display_name":"Electronics","score":0.34040001034736633},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.329800009727478}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.626800000667572},{"id":"https://openalex.org/C91873725","wikidata":"https://www.wikidata.org/wiki/Q3445816","display_name":"Function approximation","level":3,"score":0.5436999797821045},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.46799999475479126},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.4456999897956848},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.43709999322891235},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.43639999628067017},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.43149998784065247},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.361299991607666},{"id":"https://openalex.org/C149810388","wikidata":"https://www.wikidata.org/wiki/Q5374873","display_name":"Emulation","level":2,"score":0.3601999878883362},{"id":"https://openalex.org/C148764684","wikidata":"https://www.wikidata.org/wiki/Q621751","display_name":"Approximation algorithm","level":2,"score":0.3499999940395355},{"id":"https://openalex.org/C122383733","wikidata":"https://www.wikidata.org/wiki/Q865920","display_name":"Approximation error","level":2,"score":0.34290000796318054},{"id":"https://openalex.org/C138331895","wikidata":"https://www.wikidata.org/wiki/Q11650","display_name":"Electronics","level":2,"score":0.34040001034736633},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.329800009727478},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.3269999921321869},{"id":"https://openalex.org/C13412647","wikidata":"https://www.wikidata.org/wiki/Q174948","display_name":"Analog signal","level":3,"score":0.3197000026702881},{"id":"https://openalex.org/C54290928","wikidata":"https://www.wikidata.org/wiki/Q4845080","display_name":"Wearable technology","level":3,"score":0.31779998540878296},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.3174999952316284},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.3102000057697296},{"id":"https://openalex.org/C39927690","wikidata":"https://www.wikidata.org/wiki/Q11197","display_name":"Logarithm","level":2,"score":0.30869999527931213},{"id":"https://openalex.org/C90915687","wikidata":"https://www.wikidata.org/wiki/Q63759","display_name":"Analog computer","level":2,"score":0.30720001459121704},{"id":"https://openalex.org/C29074008","wikidata":"https://www.wikidata.org/wiki/Q174925","display_name":"Analogue electronics","level":3,"score":0.30489999055862427},{"id":"https://openalex.org/C81843906","wikidata":"https://www.wikidata.org/wiki/Q173156","display_name":"Digital electronics","level":3,"score":0.2996000051498413},{"id":"https://openalex.org/C2776303644","wikidata":"https://www.wikidata.org/wiki/Q1020499","display_name":"Interfacing","level":2,"score":0.2939000129699707},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.2827000021934509},{"id":"https://openalex.org/C67212190","wikidata":"https://www.wikidata.org/wiki/Q104851","display_name":"Firmware","level":2,"score":0.2822999954223633},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.2802000045776367},{"id":"https://openalex.org/C43321923","wikidata":"https://www.wikidata.org/wiki/Q864333","display_name":"Transcendental function","level":2,"score":0.2759000062942505},{"id":"https://openalex.org/C178911571","wikidata":"https://www.wikidata.org/wiki/Q593143","display_name":"Power electronics","level":3,"score":0.2743000090122223},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.2660999894142151},{"id":"https://openalex.org/C2778514511","wikidata":"https://www.wikidata.org/wiki/Q1374194","display_name":"Programmer","level":2,"score":0.26190000772476196},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.2587999999523163},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.25769999623298645},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.25619998574256897}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.27892","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.27892","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2606.27892","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.27892","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.7141016721725464,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Wearable":[0],"devices":[1],"and":[2,13,39,46,61,94,113,123,162,168,174,207,224],"Internet":[3],"of":[4,11,214],"Things":[5],"(IoT)":[6],"sensors":[7],"require":[8],"on-sensor":[9],"processing":[10],"biosignals":[12],"environmental":[14],"data,":[15],"including":[16],"computationally":[17],"demanding":[18],"operations":[19,48,60],"such":[20],"as":[21,221],"nonlinear":[22],"activation":[23],"functions":[24,42,53,149],"for":[25,49,106,227],"neural":[26],"network":[27],"inference,":[28],"sensor":[29],"calibration":[30],"curves":[31],"to":[32,36,67,110,144,171,204],"map":[33],"raw":[34],"readings":[35],"physical":[37],"units,":[38],"signal":[40],"preprocessing":[41],"like":[43],"logarithmic":[44],"compression":[45],"power":[47,124,209],"feature":[50],"extraction.":[51],"These":[52],"exhibit":[54],"significant":[55],"complexity,":[56],"often":[57],"involving":[58],"transcendental":[59],"multivariate":[62,148],"dependencies":[63],"that":[64,181],"are":[65],"costly":[66],"implement":[68],"digitally.":[69],"Analog":[70,136],"function":[71,230],"approximation":[72,195,231],"provides":[73],"a":[74,102,222],"power-efficient":[75],"alternative":[76],"by":[77,197],"performing":[78],"these":[79,146],"computations":[80],"in":[81,232],"the":[82,87],"analog":[83,128,229],"domain,":[84],"thereby":[85],"reducing":[86],"energy":[88],"overhead":[89],"associated":[90],"with":[91,211],"analog-to-digital":[92],"conversion":[93],"subsequent":[95],"digital":[96],"processing.":[97],"Flexible":[98],"Electronics":[99],"(FE)":[100],"present":[101],"particularly":[103],"attractive":[104],"platform":[105],"wearable":[107],"applications":[108],"due":[109],"mechanical":[111],"flexibility":[112],"low-cost":[114],"fabrication,":[115],"but":[116,131,191],"impose":[117],"strict":[118],"constraints":[119],"on":[120],"circuit":[121],"density":[122],"consumption,":[125],"making":[126],"efficient":[127],"implementations":[129],"critical":[130],"challenging.":[132],"This":[133],"work":[134],"introduces":[135],"Kolmogorov-Arnold":[137],"Networks":[138],"(AKANs),":[139],"developed":[140],"via":[141],"hardware-software":[142],"co-optimization,":[143],"approximate":[145],"complex":[147],"accurately":[150],"under":[151],"hardware":[152,169,189],"imperfections.":[153],"Our":[154],"method":[155],"incorporates":[156],"circuit-level":[157],"error":[158],"modeling":[159],"during":[160],"training":[161],"applies":[163],"pruning":[164,184],"at":[165],"both":[166],"software":[167],"levels":[170],"reduce":[172],"area":[173,206],"power.":[175],"Validation":[176],"across":[177,217],"multiple":[178],"benchmarks":[179],"demonstrates":[180],"our":[182],"proposed":[183],"methodology":[185],"not":[186],"only":[187],"reduces":[188],"cost":[190],"can":[192],"also":[193],"improve":[194],"accuracy":[196],"regularizing":[198],"spline":[199],"parameters.":[200],"Results":[201],"show":[202],"up":[203],"55%":[205],"50%":[208],"savings,":[210],"average":[212],"reductions":[213],"nearly":[215],"30%":[216],"datasets,":[218],"highlighting":[219],"AKANs":[220],"robust":[223],"generalizable":[225],"framework":[226],"low-power":[228],"FE.":[233]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-06-30T00:00:00"}