{"id":"https://openalex.org/W7202250324","doi":"https://doi.org/10.1109/mm.2026.3722146","title":"Neuronflow V2: Sparse and Energy Efficient Event-driven AI Processing","display_name":"Neuronflow V2: Sparse and Energy Efficient Event-driven AI Processing","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7202250324","doi":"https://doi.org/10.1109/mm.2026.3722146"},"language":"en","primary_location":{"id":"doi:10.1109/mm.2026.3722146","doi":"https://doi.org/10.1109/mm.2026.3722146","is_oa":true,"landing_page_url":"https://doi.org/10.1109/mm.2026.3722146","pdf_url":null,"source":{"id":"https://openalex.org/S59697426","display_name":"IEEE Micro","issn_l":"0272-1732","issn":["0272-1732","1937-4143"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-a","jufo-3","norway-2","poland-140","russia-white-list-1"],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Micro","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1109/mm.2026.3722146","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5104101757","display_name":"Orlando Moreira","orcid":"https://orcid.org/0000-0003-2362-4169","observed_orcids":["https://orcid.org/0000-0003-2362-4169"]},"institutions":[{"id":"https://openalex.org/I4210142583","display_name":"Snap (United States)","ror":"https://ror.org/04dgkhg68","country_code":"US","type":"company","lineage":["https://openalex.org/I4210142583"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Orlando Moreira","raw_affiliation_strings":["Snap Inc"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Snap Inc","institution_ids":["https://openalex.org/I4210142583"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069322635","display_name":"Luc Waeijen","orcid":"https://orcid.org/0000-0003-3491-0777","observed_orcids":["https://orcid.org/0000-0003-3491-0777"]},"institutions":[{"id":"https://openalex.org/I4210142583","display_name":"Snap (United States)","ror":"https://ror.org/04dgkhg68","country_code":"US","type":"company","lineage":["https://openalex.org/I4210142583"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Luc Waeijen","raw_affiliation_strings":["Snap Inc"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Snap Inc","institution_ids":["https://openalex.org/I4210142583"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063811722","display_name":"Zeqi Zhu","orcid":"https://orcid.org/0000-0002-8614-9855","observed_orcids":["https://orcid.org/0000-0002-8614-9855"]},"institutions":[{"id":"https://openalex.org/I4210142583","display_name":"Snap (United States)","ror":"https://ror.org/04dgkhg68","country_code":"US","type":"company","lineage":["https://openalex.org/I4210142583"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zeqi Zhu","raw_affiliation_strings":["Snap Inc"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Snap Inc","institution_ids":["https://openalex.org/I4210142583"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064965216","display_name":"\u0130brahim Batuhan Akkaya","orcid":"https://orcid.org/0000-0003-2663-846X","observed_orcids":["https://orcid.org/0000-0003-2663-846X"]},"institutions":[{"id":"https://openalex.org/I4210142583","display_name":"Snap (United States)","ror":"https://ror.org/04dgkhg68","country_code":"US","type":"company","lineage":["https://openalex.org/I4210142583"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Batuhan Akkaya","raw_affiliation_strings":["Snap Inc"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Snap Inc","institution_ids":["https://openalex.org/I4210142583"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053049634","display_name":"Hamid Tabani","orcid":"https://orcid.org/0000-0002-6061-7470","observed_orcids":["https://orcid.org/0000-0002-6061-7470"]},"institutions":[{"id":"https://openalex.org/I4210142583","display_name":"Snap (United States)","ror":"https://ror.org/04dgkhg68","country_code":"US","type":"company","lineage":["https://openalex.org/I4210142583"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hamid Tabani","raw_affiliation_strings":["Snap Inc"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Snap Inc","institution_ids":["https://openalex.org/I4210142583"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5159821713","display_name":"Steven Roos","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210142583","display_name":"Snap (United States)","ror":"https://ror.org/04dgkhg68","country_code":"US","type":"company","lineage":["https://openalex.org/I4210142583"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Steven Roos","raw_affiliation_strings":["Snap Inc"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Snap Inc","institution_ids":["https://openalex.org/I4210142583"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085030425","display_name":"Arash Pourtaherian","orcid":"https://orcid.org/0000-0003-4542-1354","observed_orcids":["https://orcid.org/0000-0003-4542-1354"]},"institutions":[{"id":"https://openalex.org/I4210142583","display_name":"Snap (United States)","ror":"https://ror.org/04dgkhg68","country_code":"US","type":"company","lineage":["https://openalex.org/I4210142583"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Arash Pourtaherian","raw_affiliation_strings":["Snap Inc"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Snap Inc","institution_ids":["https://openalex.org/I4210142583"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062737440","display_name":"Savvas Sioutas","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210142583","display_name":"Snap (United States)","ror":"https://ror.org/04dgkhg68","country_code":"US","type":"company","lineage":["https://openalex.org/I4210142583"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Savvas Sioutas","raw_affiliation_strings":["Snap Inc"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Snap Inc","institution_ids":["https://openalex.org/I4210142583"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5147016596","display_name":"Kees van Berkel","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210142583","display_name":"Snap (United States)","ror":"https://ror.org/04dgkhg68","country_code":"US","type":"company","lineage":["https://openalex.org/I4210142583"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kees van Berkel","raw_affiliation_strings":["Snap Inc"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Snap Inc","institution_ids":["https://openalex.org/I4210142583"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210142583"],"apc_list":{"value":2995,"currency":"USD","value_usd":2995},"apc_paid":{"value":2995,"currency":"USD","value_usd":2995},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.45873478,"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":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.8051999807357788,"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":0.8051999807357788,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.10379999876022339,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10363","display_name":"Low-power high-performance VLSI design","score":0.07580000162124634,"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/activation-sparsity","display_name":"activation sparsity","score":0.8600000143051147},{"id":"https://openalex.org/keywords/event-driven-computing","display_name":"event-driven computing","score":0.7429999709129333},{"id":"https://openalex.org/keywords/edge-computing","display_name":"edge computing","score":0.5709999799728394},{"id":"https://openalex.org/keywords/low-latency-inference","display_name":"low-latency inference","score":0.7170000076293945},{"id":"https://openalex.org/keywords/thresholding","display_name":"thresholding","score":0.6830000281333923},{"id":"https://openalex.org/keywords/neural-architecture-search","display_name":"neural architecture search","score":0.8999999761581421},{"id":"https://openalex.org/keywords/temporal-sparsity","display_name":"temporal sparsity","score":0.8399999737739563},{"id":"https://openalex.org/keywords/brain-inspired-hardware","display_name":"brain-inspired hardware","score":0.640999972820282},{"id":"https://openalex.org/keywords/computer-vision-models","display_name":"computer vision models","score":0.7950000166893005}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8274999856948853},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.6247000098228455},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.36629998683929443},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3619000017642975},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.33160001039505005},{"id":"https://openalex.org/C3018263672","wikidata":"https://www.wikidata.org/wiki/Q1296251","display_name":"Efficient algorithm","level":2,"score":0.31769999861717224},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.31040000915527344},{"id":"https://openalex.org/C56372850","wikidata":"https://www.wikidata.org/wiki/Q1050404","display_name":"Sparse matrix","level":3,"score":0.2948000133037567},{"id":"https://openalex.org/C106516650","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm design","level":2,"score":0.2863999903202057},{"id":"https://openalex.org/C106515295","wikidata":"https://www.wikidata.org/wiki/Q26806595","display_name":"Parallel processing","level":2,"score":0.2809999883174896},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.2630000114440918},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2623000144958496},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.2524999976158142}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mm.2026.3722146","doi":"https://doi.org/10.1109/mm.2026.3722146","is_oa":true,"landing_page_url":"https://doi.org/10.1109/mm.2026.3722146","pdf_url":null,"source":{"id":"https://openalex.org/S59697426","display_name":"IEEE Micro","issn_l":"0272-1732","issn":["0272-1732","1937-4143"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-a","jufo-3","norway-2","poland-140","russia-white-list-1"],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Micro","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1109/mm.2026.3722146","doi":"https://doi.org/10.1109/mm.2026.3722146","is_oa":true,"landing_page_url":"https://doi.org/10.1109/mm.2026.3722146","pdf_url":null,"source":{"id":"https://openalex.org/S59697426","display_name":"IEEE Micro","issn_l":"0272-1732","issn":["0272-1732","1937-4143"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-a","jufo-3","norway-2","poland-140","russia-white-list-1"],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Micro","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W3035770626","https://openalex.org/W7221020180","https://openalex.org/W4415966543","https://openalex.org/W3190804100","https://openalex.org/W3018923871","https://openalex.org/W7204914873","https://openalex.org/W4401558540","https://openalex.org/W7129633570","https://openalex.org/W7019054288","https://openalex.org/W3087679444"],"abstract_inverted_index":{"Neuronflow":[0,47,81],"V2":[1,48,82],"is":[2],"a":[3],"processor":[4],"designed":[5],"for":[6,30],"efficient,":[7],"low-latency":[8],"AI":[9],"inference":[10],"by":[11],"exploiting":[12],"activation":[13,44,67],"sparsity.":[14],"Its":[15],"event-driven,":[16],"input-stationary":[17],"architecture":[18],"minimizes":[19],"unnecessary":[20],"computations,":[21],"achieving":[22],"millisecond":[23],"latency":[24,54],"and":[25,41,53,66],"under":[26],"500":[27],"mW":[28],"power":[29],"computer-vision":[31],"models":[32],"on":[33,88],"edge":[34],"devices.":[35],"We":[36,58],"show":[37],"how":[38],"sparsity-inducing":[39],"training":[40],"thresholding":[42],"enhance":[43],"sparsity,":[45],"allowing":[46],"to":[49,63],"reduce":[50],"energy":[51],"use":[52,59],"while":[55],"maintaining":[56],"accuracy.":[57],"Neural":[60],"Architecture":[61],"Search":[62],"re-balance":[64],"weight":[65],"memory":[68],"requirements,":[69],"enabling":[70],"effective":[71],"temporal":[72],"sparsity":[73],"exploitation.":[74],"Fabricated":[75],"in":[76],"5nm":[77],"at":[78],"800":[79],"MHz,":[80],"demonstrates":[83],"scalable,":[84],"energy-efficient":[85],"brain-inspired":[86],"performance":[87],"silicon.":[89]},"counts_by_year":[],"updated_date":"2026-11-08T12:12:28.789561","created_date":"2026-08-13T00:00:00"}