{"id":"https://openalex.org/W3023335208","doi":"https://doi.org/10.1109/socc46988.2019.9088079","title":"Wednesday Plenary: Machine Learning and Hardware Security Technologies for the Nanoscale era: Challenges &amp; Opportunities","display_name":"Wednesday Plenary: Machine Learning and Hardware Security Technologies for the Nanoscale era: Challenges &amp; Opportunities","publication_year":2019,"publication_date":"2019-09-01","ids":{"openalex":"https://openalex.org/W3023335208","doi":"https://doi.org/10.1109/socc46988.2019.9088079","mag":"3023335208"},"language":"en","primary_location":{"id":"doi:10.1109/socc46988.2019.9088079","is_oa":false,"landing_page_url":"https://doi.org/10.1109/socc46988.2019.9088079","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 32nd IEEE International System-on-Chip Conference (SOCC)","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/A5074107306","display_name":"Ram Krishnamurthy","orcid":"https://orcid.org/0000-0002-2428-7099"},"institutions":[{"id":"https://openalex.org/I1343180700","display_name":"Intel (United States)","ror":"https://ror.org/01ek73717","country_code":"US","type":"company","lineage":["https://openalex.org/I1343180700"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ram Kumar Krishnamurthy","raw_affiliation_strings":["Intel Labs,Senior Research Director and Senior Principal Engineer,USA","Senior Research Director and Senior Principal Engineer, Intel Labs, USA"],"affiliations":[{"raw_affiliation_string":"Intel Labs,Senior Research Director and Senior Principal Engineer,USA","institution_ids":["https://openalex.org/I1343180700"]},{"raw_affiliation_string":"Senior Research Director and Senior Principal Engineer, Intel Labs, USA","institution_ids":["https://openalex.org/I1343180700"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5074107306"],"corresponding_institution_ids":["https://openalex.org/I1343180700"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18848204,"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":"3"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9986000061035156,"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":0.9986000061035156,"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/T13182","display_name":"Quantum-Dot Cellular Automata","score":0.964900016784668,"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":0.9635999798774719,"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/computer-science","display_name":"Computer science","score":0.6543947458267212},{"id":"https://openalex.org/keywords/hardware-security-module","display_name":"Hardware security module","score":0.6310200691223145},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.5378277897834778},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.4950041174888611},{"id":"https://openalex.org/keywords/neuromorphic-engineering","display_name":"Neuromorphic engineering","score":0.4814945459365845},{"id":"https://openalex.org/keywords/encryption","display_name":"Encryption","score":0.45841240882873535},{"id":"https://openalex.org/keywords/drone","display_name":"Drone","score":0.4395088851451874},{"id":"https://openalex.org/keywords/physical-unclonable-function","display_name":"Physical unclonable function","score":0.4223426878452301},{"id":"https://openalex.org/keywords/efficient-energy-use","display_name":"Efficient energy use","score":0.42106425762176514},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.4181552529335022},{"id":"https://openalex.org/keywords/cryptography","display_name":"Cryptography","score":0.37202897667884827},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.27763211727142334},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.25629937648773193},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2160627245903015},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.20981034636497498},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.1911706030368805}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6543947458267212},{"id":"https://openalex.org/C39217717","wikidata":"https://www.wikidata.org/wiki/Q1432354","display_name":"Hardware security module","level":3,"score":0.6310200691223145},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.5378277897834778},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.4950041174888611},{"id":"https://openalex.org/C151927369","wikidata":"https://www.wikidata.org/wiki/Q1981312","display_name":"Neuromorphic engineering","level":3,"score":0.4814945459365845},{"id":"https://openalex.org/C148730421","wikidata":"https://www.wikidata.org/wiki/Q141090","display_name":"Encryption","level":2,"score":0.45841240882873535},{"id":"https://openalex.org/C59519942","wikidata":"https://www.wikidata.org/wiki/Q650665","display_name":"Drone","level":2,"score":0.4395088851451874},{"id":"https://openalex.org/C8643368","wikidata":"https://www.wikidata.org/wiki/Q4046262","display_name":"Physical unclonable function","level":3,"score":0.4223426878452301},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.42106425762176514},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.4181552529335022},{"id":"https://openalex.org/C178489894","wikidata":"https://www.wikidata.org/wiki/Q8789","display_name":"Cryptography","level":2,"score":0.37202897667884827},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.27763211727142334},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.25629937648773193},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2160627245903015},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.20981034636497498},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.1911706030368805},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/socc46988.2019.9088079","is_oa":false,"landing_page_url":"https://doi.org/10.1109/socc46988.2019.9088079","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 32nd IEEE International System-on-Chip Conference (SOCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.8799999952316284,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W1556219","https://openalex.org/W12803081","https://openalex.org/W3508358","https://openalex.org/W876431","https://openalex.org/W13420640","https://openalex.org/W10709134","https://openalex.org/W7670771","https://openalex.org/W1674529","https://openalex.org/W13066059","https://openalex.org/W9529221"],"abstract_inverted_index":{"Summary":[0],"form":[1],"only":[2],"given.":[3],"The":[4],"complete":[5],"presentation":[6],"was":[7],"not":[8],"made":[9],"available":[10],"for":[11,30,51,100,109],"publication":[12],"as":[13],"part":[14],"of":[15,24,72],"the":[16,25,41,73,87],"conference":[17],"proceedings.":[18],"This":[19],"talk":[20],"will":[21,91,152],"highlight":[22],"some":[23],"emerging":[26,48],"challenges":[27,149],"and":[28,36,47,55,61,80,84,103,113,120,133,150],"opportunities":[29],"next":[31],"generation":[32],"nanoscale":[33],"machine":[34,101],"learning":[35,102],"hardware":[37],"security":[38,62,138],"technologies":[39,151],"in":[40,86,96],"rapidly":[42],"evolving":[43],"loT":[44,49],"industry.":[45],"New":[46],"markets":[50],"autonomous":[52],"vehicles,":[53],"drones":[54],"wearables":[56],"require":[57],"even":[58],"higher":[59],"performance":[60,79],"at":[63],"much":[64],"lower":[65],"cost":[66],"while":[67],"reducing":[68],"energy":[69],"consumption.":[70],"Some":[71],"prominent":[74],"barriers":[75],"to":[76],"designing":[77],"high":[78],"energy-efficient":[81],"multi-core":[82],"microprocessors":[83],"SoCs":[85],"sub-10nm":[88],"technology":[89],"nodes":[90],"be":[92,154],"outlined.":[93],"Emerging":[94],"trends":[95],"SoC":[97],"circuit":[98,147],"design":[99,148],"deep":[104],"neural":[105],"networks,":[106],"specialized":[107],"accelerators":[108],"nearest":[110],"neighbor":[111],"computing":[112,146],"reconfigurable":[114],"multi-precision":[115],"matrix":[116],"multipliers,":[117],"ultra-low-voltage":[118],"logic":[119],"memory":[121],"circuits,":[122,126],"on-chip":[123],"interconnect":[124],"fabric":[125],"ultra-lightweight":[127],"encryption":[128],"engines,":[129],"physically":[130],"unclonable":[131],"functions":[132],"fully-digital":[134],"random":[135],"number":[136],"generator":[137],"building":[139],"blocks":[140],"are":[141],"described.":[142],"Future":[143],"brain-inspired":[144],"neuromorphic":[145],"also":[153],"reviewed.":[155]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2020-05-13T00:00:00"}
