{"id":"https://openalex.org/W4414908982","doi":"https://doi.org/10.1109/escience65000.2025.00080","title":"Integrating a new Paradigm: Artificial Intelligence in Data-Intensive Applications","display_name":"Integrating a new Paradigm: Artificial Intelligence in Data-Intensive Applications","publication_year":2025,"publication_date":"2025-09-15","ids":{"openalex":"https://openalex.org/W4414908982","doi":"https://doi.org/10.1109/escience65000.2025.00080"},"language":"en","primary_location":{"id":"doi:10.1109/escience65000.2025.00080","is_oa":false,"landing_page_url":"https://doi.org/10.1109/escience65000.2025.00080","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on eScience (eScience)","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/A5075478904","display_name":"Benedikt Riedel","orcid":"https://orcid.org/0000-0002-9524-8943"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Benedikt Riedel","raw_affiliation_strings":["University of Wisconsin&#x2013;Madison,Wisconsin IceCube Particle Astrophysics Center,Madison,WI,USA"],"affiliations":[{"raw_affiliation_string":"University of Wisconsin&#x2013;Madison,Wisconsin IceCube Particle Astrophysics Center,Madison,WI,USA","institution_ids":["https://openalex.org/I135310074"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5075478904"],"corresponding_institution_ids":["https://openalex.org/I135310074"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.46685383,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"379","last_page":"380"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11891","display_name":"Big Data and Business Intelligence","score":0.43880000710487366,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11891","display_name":"Big Data and Business Intelligence","score":0.43880000710487366,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.3790000081062317,"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/petabyte","display_name":"Petabyte","score":0.8881000280380249},{"id":"https://openalex.org/keywords/terabyte","display_name":"Terabyte","score":0.6251999735832214},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.5008999705314636},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.43389999866485596},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.3862999975681305},{"id":"https://openalex.org/keywords/observatory","display_name":"Observatory","score":0.37700000405311584},{"id":"https://openalex.org/keywords/large-hadron-collider","display_name":"Large Hadron Collider","score":0.3652999997138977}],"concepts":[{"id":"https://openalex.org/C13600138","wikidata":"https://www.wikidata.org/wiki/Q8799","display_name":"Petabyte","level":3,"score":0.8881000280380249},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6281999945640564},{"id":"https://openalex.org/C199683683","wikidata":"https://www.wikidata.org/wiki/Q8799","display_name":"Terabyte","level":2,"score":0.6251999735832214},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.5008999705314636},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48989999294281006},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4424999952316284},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.43389999866485596},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3862999975681305},{"id":"https://openalex.org/C2779919027","wikidata":"https://www.wikidata.org/wiki/Q62832","display_name":"Observatory","level":2,"score":0.37700000405311584},{"id":"https://openalex.org/C87668248","wikidata":"https://www.wikidata.org/wiki/Q40605","display_name":"Large Hadron Collider","level":2,"score":0.3652999997138977},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3562999963760376},{"id":"https://openalex.org/C207520454","wikidata":"https://www.wikidata.org/wiki/Q3099911","display_name":"Scientific instrument","level":2,"score":0.3375000059604645},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.2833000123500824},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.27720001339912415},{"id":"https://openalex.org/C19273510","wikidata":"https://www.wikidata.org/wiki/Q263847","display_name":"Artificial life","level":2,"score":0.2759000062942505},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.25429999828338623},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.25279998779296875},{"id":"https://openalex.org/C2984917352","wikidata":"https://www.wikidata.org/wiki/Q12772819","display_name":"Scientific discovery","level":2,"score":0.2500999867916107}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/escience65000.2025.00080","is_oa":false,"landing_page_url":"https://doi.org/10.1109/escience65000.2025.00080","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on eScience (eScience)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":1,"referenced_works":["https://openalex.org/W4413059221"],"related_works":[],"abstract_inverted_index":{"Scientific":[0],"discovery":[1],"is":[2,77,100,107],"undergoing":[3],"a":[4],"fundamental":[5],"transformation,":[6],"driven":[7],"by":[8,43],"an":[9,93],"unprecedented":[10],"deluge":[11],"of":[12,63,70,112],"data":[13,65],"from":[14,53,131],"next-generation":[15],"experimental":[16],"facilities":[17],"(such":[18,33],"as":[19,34,92],"High-Luminosity":[20],"Large":[21,45],"Hadron":[22,46],"Collider),":[23],"high-fidelity":[24],"simulations":[25],"(novel":[26],"weather":[27],"prediction),":[28],"and":[29,56,61,88,135],"ubiquitous":[30],"sensor":[31],"networks":[32],"National":[35],"Ecological":[36],"Observatory":[37],"Network).":[38],"From":[39],"the":[40,44,49,59,74],"petabytes":[41],"generated":[42],"Collider":[47],"to":[48,80,117,138],"terabytes":[50],"streamed":[51],"daily":[52],"genomic":[54],"sequencers":[55],"climate":[57],"models,":[58],"scale":[60],"complexity":[62],"scientific":[64,75],"have":[66],"outpaced":[67],"traditional":[68],"methods":[69],"analysis.":[71],"In":[72],"response,":[73],"community":[76],"increasingly":[78],"turning":[79],"Artificial":[81],"Intelligence":[82],"(AI),":[83],"particularly":[84],"Machine":[85],"Learning":[86,90],"(ML)":[87],"Deep":[89],"(DL),":[91],"indispensable":[94],"tool":[95],"for":[96],"knowledge":[97],"extraction.":[98],"AI":[99],"not":[101],"merely":[102],"accelerating":[103],"existing":[104],"processes;":[105],"it":[106],"enabling":[108],"entirely":[109],"new":[110],"modes":[111],"inquiry.":[113],"It":[114],"allows":[115],"physicists":[116],"identify":[118],"faint":[119],"particle":[120],"signatures":[121],"in":[122,142],"noisy":[123],"detector":[124],"data,":[125],"helps":[126],"biologists":[127],"predict":[128],"protein":[129],"structures":[130],"amino":[132],"acid":[133],"sequences,":[134],"empowers":[136],"astronomers":[137],"classify":[139],"celestial":[140],"objects":[141],"vast":[143],"sky":[144],"surveys.":[145]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-10-10T00:00:00"}
