{"id":"https://openalex.org/W2244725534","doi":"https://doi.org/10.1109/bigdata.2016.7840579","title":"Cognitive computing: From breakthroughs in the lab to applications on the field","display_name":"Cognitive computing: From breakthroughs in the lab to applications on the field","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2244725534","doi":"https://doi.org/10.1109/bigdata.2016.7840579","mag":"2244725534"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata.2016.7840579","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2016.7840579","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Big Data (Big Data)","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/A5076356171","display_name":"Guruduth Banavar","orcid":"https://orcid.org/0000-0002-4170-7841"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Guruduth S. Banavar","raw_affiliation_strings":["Cognitive Computing, IBM"],"affiliations":[{"raw_affiliation_string":"Cognitive Computing, IBM","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5076356171"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.00297545,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"2015","issue":null,"first_page":"1","last_page":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12805","display_name":"Cognitive Science and Mapping","score":0.858299970626831,"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/T12805","display_name":"Cognitive Science and Mapping","score":0.858299970626831,"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/T13062","display_name":"Cognitive Computing and Networks","score":0.853600025177002,"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/T10320","display_name":"Neural Networks and Applications","score":0.8137000203132629,"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/field","display_name":"Field (mathematics)","score":0.5853530168533325},{"id":"https://openalex.org/keywords/cognitive-computing","display_name":"Cognitive computing","score":0.4691193401813507},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.44781211018562317},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4377375841140747},{"id":"https://openalex.org/keywords/cognitive-science","display_name":"Cognitive science","score":0.3588176369667053},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.2439420521259308},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.09298157691955566},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07527917623519897}],"concepts":[{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5853530168533325},{"id":"https://openalex.org/C92298750","wikidata":"https://www.wikidata.org/wiki/Q17008161","display_name":"Cognitive computing","level":3,"score":0.4691193401813507},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.44781211018562317},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4377375841140747},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.3588176369667053},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.2439420521259308},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.09298157691955566},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07527917623519897},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/bigdata.2016.7840579","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2016.7840579","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"},{"id":"mag:2244725534","is_oa":false,"landing_page_url":"http://absimage.aps.org/image/MAR15/MWS_MAR15-2014-020338.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S2764664775","display_name":"Bulletin of the American Physical Society","issn_l":"0003-0503","issn":["0003-0503"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311721","host_organization_name":"Cambridge University Press","host_organization_lineage":["https://openalex.org/P4310311721","https://openalex.org/P4310311702"],"host_organization_lineage_names":["Cambridge University Press","University of Cambridge"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"Bulletin of the American Physical Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2209874543","https://openalex.org/W2205488786","https://openalex.org/W3194717954","https://openalex.org/W2899399768","https://openalex.org/W586004774","https://openalex.org/W3149411261","https://openalex.org/W1749322612","https://openalex.org/W1495611872","https://openalex.org/W2323208940","https://openalex.org/W2975946034","https://openalex.org/W2942936295","https://openalex.org/W2738756939","https://openalex.org/W2918759589","https://openalex.org/W3012524972","https://openalex.org/W2514396601","https://openalex.org/W2106928729","https://openalex.org/W60582628","https://openalex.org/W2479053648","https://openalex.org/W2794246385","https://openalex.org/W2762746832"],"abstract_inverted_index":{"Summary":[0],"form":[1],"only":[2],"given.":[3],"In":[4],"the":[5,8,16,24,125,134],"last":[6],"decade,":[7],"availability":[9,25],"of":[10,13,18,26,37,122,137],"massive":[11],"amounts":[12],"new":[14,19,35,94],"data,":[15,45],"development":[17],"machine":[20],"learning":[21],"technologies,":[22],"and":[23,49,98,102,133],"scalable":[27],"computing":[28,38],"infrastructure,":[29],"have":[30],"given":[31],"rise":[32],"to":[33,54,75,81,92,100,111,114],"a":[34],"class":[36],"systems.":[39],"These":[40,68,87],"\u201cCognitive":[41],"Systems\u201d":[42],"learn":[43],"from":[44,47,71,109],"reason":[46],"models,":[48],"interact":[50],"naturally":[51],"with":[52],"us,":[53],"perform":[55],"complex":[56],"tasks":[57,69],"better":[58],"than":[59],"either":[60],"humans":[61],"or":[62],"machines":[63,99],"can":[64],"do":[65],"by":[66],"themselves.":[67],"range":[70],"answering":[72],"questions":[73],"conversationally":[74],"extracting":[76],"knowledge":[77],"for":[78,84],"discovering":[79],"insights":[80],"evaluating":[82],"options":[83],"difficult":[85],"decisions.":[86],"cognitive":[88,123],"systems":[89],"are":[90,129,141],"designed":[91],"create":[93],"partnerships":[95],"between":[96],"people":[97],"augment":[101],"scale":[103],"human":[104],"expertise":[105],"in":[106],"every":[107,143],"industry,":[108],"healthcare":[110],"financial":[112],"services":[113],"education.":[115],"This":[116],"talk":[117],"will":[118],"provide":[119],"an":[120],"overview":[121],"computing,":[124],"technology":[126,139],"breakthroughs":[127],"that":[128,140],"enabling":[130],"this":[131,138],"trend,":[132],"practical":[135],"applications":[136],"transforming":[142],"industry.":[144]},"counts_by_year":[{"year":2015,"cited_by_count":1}],"updated_date":"2026-02-20T08:17:22.645390","created_date":"2025-10-10T00:00:00"}