{"id":"https://openalex.org/W7225396139","doi":"https://doi.org/10.5281/zenodo.23996442","title":"Multimodal Predictive Computing for Generative AI: Anticipating Future Text, Image, Video, and Speech Requests Before They Materialize","display_name":"Multimodal Predictive Computing for Generative AI: Anticipating Future Text, Image, Video, and Speech Requests Before They Materialize","publication_year":2026,"publication_date":"2026-11-06","ids":{"openalex":"https://openalex.org/W7225396139","doi":"https://doi.org/10.5281/zenodo.23996442"},"language":"en","primary_location":{"id":"doi:10.5281/zenodo.23996442","doi":"https://doi.org/10.5281/zenodo.23996442","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.23996442","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"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"},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.5281/zenodo.23996442","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100638045","display_name":"Jincheng Zhang","orcid":"https://orcid.org/0000-0001-7332-6704","observed_orcids":["https://orcid.org/0000-0001-7332-6704","https://orcid.org/0009-0005-1860-0009"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Zhang, Jincheng","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0009-0005-1860-0009","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5100638045"],"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/T10101","display_name":"Cloud Computing and Resource Management","score":0.5160999894142151,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10101","display_name":"Cloud Computing and Resource Management","score":0.5160999894142151,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10715","display_name":"Distributed and Parallel Computing Systems","score":0.09109999984502792,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T14098","display_name":"Energy Efficiency in Computing","score":0.07209999859333038,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/multimodal-generative-ai","display_name":"multimodal generative AI","score":0.9509999752044678},{"id":"https://openalex.org/keywords/request-prediction","display_name":"request prediction","score":0.7649999856948853},{"id":"https://openalex.org/keywords/text-generation","display_name":"text generation","score":0.6470000147819519},{"id":"https://openalex.org/keywords/image-generation","display_name":"image generation","score":0.8769999742507935},{"id":"https://openalex.org/keywords/video-generation","display_name":"video generation","score":0.9980000257492065},{"id":"https://openalex.org/keywords/speech-synthesis","display_name":"speech synthesis","score":0.9279999732971191},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"speech recognition","score":0.9779999852180481}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8335000276565552},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.6158999800682068},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5449000000953674},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5059000253677368},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.48750001192092896},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47600001096725464},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.4487999975681305},{"id":"https://openalex.org/C66024118","wikidata":"https://www.wikidata.org/wiki/Q1122506","display_name":"Computational model","level":2,"score":0.44020000100135803},{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.3799000084400177},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.3596000075340271},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.3434000015258789},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.33160001039505005},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.3305000066757202},{"id":"https://openalex.org/C127964446","wikidata":"https://www.wikidata.org/wiki/Q1092142","display_name":"Computational resource","level":3,"score":0.2996000051498413},{"id":"https://openalex.org/C2780910867","wikidata":"https://www.wikidata.org/wiki/Q1952416","display_name":"Multimodality","level":2,"score":0.29789999127388},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.29339998960494995},{"id":"https://openalex.org/C2983523559","wikidata":"https://www.wikidata.org/wiki/Q410657","display_name":"On demand","level":2,"score":0.26660001277923584},{"id":"https://openalex.org/C61328038","wikidata":"https://www.wikidata.org/wiki/Q3358061","display_name":"Speech processing","level":2,"score":0.2644999921321869},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.2506999969482422}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.5281/zenodo.23996442","doi":"https://doi.org/10.5281/zenodo.23996442","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.23996442","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"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"},{"id":"doi:10.5281/zenodo.23996443","doi":"https://doi.org/10.5281/zenodo.23996443","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.23996443","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"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"}],"best_oa_location":{"id":"doi:10.5281/zenodo.23996442","doi":"https://doi.org/10.5281/zenodo.23996442","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.23996442","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"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":[],"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/W7225267314","https://openalex.org/W7225376051","https://openalex.org/W7225389669","https://openalex.org/W7225427586","https://openalex.org/W7225382511","https://openalex.org/W7225419399","https://openalex.org/W7225419693","https://openalex.org/W7225376960","https://openalex.org/W7225398588","https://openalex.org/W7225392952"],"abstract_inverted_index":{"The":[0,117,185,336,357],"rapid":[1],"development":[2],"of":[3,112,173,310,391],"multimodal":[4,36,114,190,311,379],"generative":[5,20,334,392],"artificial":[6],"intelligence":[7],"has":[8],"expanded":[9],"computational":[10,42,75,115,151,168,182,330,347,384],"demand":[11,146,152,191,220],"beyond":[12],"conventional":[13],"text-based":[14],"large":[15],"language":[16],"model":[17,65],"inference.":[18],"Modern":[19],"AI":[21,93,104,393],"services":[22,394],"increasingly":[23],"support":[24],"text":[25,200],"generation,":[26,30],"image":[27,204],"synthesis,":[28,32],"video":[29,208,257],"speech":[31,33,127,213],"recognition,":[34],"and":[35,53,67,109,126,144,170,211,253,260,267,294,328,353,371,381,399],"understanding.":[37],"These":[38,176],"capabilities":[39],"introduce":[40],"heterogeneous":[41,333],"workloads":[43],"with":[44],"substantially":[45],"different":[46],"processing":[47],"requirements,":[48,289],"execution":[49],"pipelines,":[50],"memory":[51],"consumption,":[52],"generation":[54,261,286],"costs.":[55],"Although":[56],"existing":[57],"inference":[58],"optimization":[59,278],"techniques":[60],"address":[61],"workload":[62],"scheduling,":[63],"caching,":[64],"execution,":[66],"resource":[68,292,349],"allocation,":[69],"most":[70],"systems":[71],"remain":[72],"predominantly":[73],"reactive:":[74],"resources":[76,385],"are":[77,178],"allocated":[78],"after":[79],"corresponding":[80,383],"user":[81],"requests":[82,128,234,380],"have":[83],"materialized.":[84],"This":[85],"paper":[86],"introduces":[87,187],"Multimodal":[88],"Predictive":[89,100],"Computing":[90,101],"for":[91,102,343,374],"Generative":[92,103],"(MPCGA),":[94],"a":[95,188,276,369],"conceptual":[96],"framework":[97,119,186,337],"that":[98,280],"extends":[99],"(PCGA)":[105],"toward":[106],"the":[107,163,242,306,319,388],"prediction":[108,192,221,284,345],"proactive":[110],"preparation":[111,183,272,331],"future":[113,122,174,199,203,207,212,378],"demand.":[116],"proposed":[118,358],"investigates":[120],"whether":[121,376],"text,":[123],"image,":[124],"video,":[125],"can":[129,386],"be":[130],"anticipated":[131],"using":[132],"external":[133],"information":[134,229,290],"trends,":[135],"historical":[136],"request":[137,201,205,209,214],"distributions,":[138],"temporal":[139],"behavioral":[140],"patterns,":[141],"emerging":[142,228],"events,":[143],"cross-modal":[145,219,354],"relationships.":[147],"Rather":[148],"than":[149],"predicting":[150,377],"exclusively":[153],"at":[154],"an":[155,227,340],"aggregate":[156],"infrastructure":[157],"level,":[158],"MPCGA":[159],"attempts":[160],"to":[161,222,304,318],"identify":[162,223],"likely":[164],"modality,":[165],"task":[166],"category,":[167],"characteristics,":[169],"expected":[171,282,307],"frequency":[172],"requests.":[175],"predictions":[177],"translated":[179],"into":[180],"modality-specific":[181,295],"strategies.":[184],"unified":[189,299],"architecture":[193],"integrating":[194],"four":[195],"primary":[196],"predictive":[197,312],"dimensions:":[198],"prediction,":[202,206,210],"prediction.":[215],"It":[216],"further":[217],"incorporates":[218],"situations":[224],"in":[225],"which":[226],"event":[230],"may":[231,244],"generate":[232,246],"coordinated":[233],"across":[235,332],"multiple":[236],"modalities.":[237],"Depending":[238],"on":[239],"predicted":[240],"demand,":[241],"system":[243],"proactively":[245],"reusable":[247,268],"textual":[248],"responses,":[249],"prepare":[250,264],"image-generation":[251],"conditions":[252,266],"candidate":[254],"outputs,":[255],"construct":[256],"scene":[258],"representations":[259],"plans,":[262],"or":[263],"speech-generation":[265],"acoustic":[269],"resources.":[270],"Computational":[271],"is":[273,302,316],"governed":[274],"by":[275],"modality-aware":[277],"mechanism":[279],"considers":[281],"reuse,":[283,324,327],"uncertainty,":[285],"expenditure,":[287],"storage":[288],"freshness,":[291],"availability,":[293],"compatibility":[296],"constraints.":[297],"A":[298],"mathematical":[300],"formulation":[301],"developed":[303],"evaluate":[305],"economic":[308],"benefit":[309],"computation.":[313],"Particular":[314],"attention":[315],"given":[317],"differences":[320],"between":[321],"complete":[322],"output":[323,351,397],"intermediate":[325],"representation":[326],"partial":[329],"architectures.":[335],"also":[338],"establishes":[339,368],"experimental":[341],"methodology":[342],"evaluating":[344],"accuracy,":[346],"savings,":[348],"utilization,":[350],"quality,":[352],"scheduling":[355],"effectiveness.":[356],"research":[359],"does":[360],"not":[361],"claim":[362],"experimentally":[363],"demonstrated":[364],"improvements.":[365],"Instead,":[366],"it":[367],"theoretical":[370],"architectural":[372],"foundation":[373],"investigating":[375],"preparing":[382],"reduce":[387],"overall":[389],"expenditure":[390],"while":[395],"maintaining":[396],"quality":[398],"service":[400],"reliability.":[401]},"counts_by_year":[],"updated_date":"2026-11-08T12:12:28.789561","created_date":"2026-11-07T00:00:00"}
