{"id":7434,"date":"2025-06-12T19:37:51","date_gmt":"2025-06-12T18:37:51","guid":{"rendered":"https:\/\/www.njoftime.co\/blog\/?p=7434"},"modified":"2025-06-13T09:49:49","modified_gmt":"2025-06-13T08:49:49","slug":"inteligjenca-artificiale-shume-flitet-shume-degjohet-dhe-shume-kuptohet-cfare-eshte-ajo-ne-te-vertete","status":"publish","type":"post","link":"https:\/\/www.njoftime.co\/blog\/inteligjenca-artificiale-shume-flitet-shume-degjohet-dhe-shume-kuptohet-cfare-eshte-ajo-ne-te-vertete.html","title":{"rendered":"Inteligjenca Artificiale shum\u00eb flitet shum\u00eb d\u00ebgjohet dhe shum\u00eb kuptohet, cfar\u00eb \u00ebsht\u00eb ajo n\u00eb t\u00eb v\u00ebrtet\u00eb."},"content":{"rendered":"\n

Inteligjenca Artificiale (AI) ka evoluar nga automatizimi i thjesht\u00eb n\u00eb sisteme t\u00eb sofistikuara t\u00eb afta p\u00ebr t\u00eb m\u00ebsuar nga sasi t\u00eb m\u00ebdha t\u00eb dh\u00ebnash, duke mund\u00ebsuar aft\u00ebsi t\u00eb reja n\u00eb fusha t\u00eb ndryshme. Nuk \u00ebsht\u00eb \u00e7udi q\u00eb 77% e pajisjeve n\u00eb p\u00ebrdorim sot kan\u00eb nj\u00eb form\u00eb t\u00eb AI dhe se rreth dy t\u00eb tretat e organizatave planifikojn\u00eb t\u00eb miratojn\u00eb AI globalisht brenda tre viteve t\u00eb ardhshme. T\u00eb kuptuarit e teknologjis\u00eb s\u00eb AI dhe si ta p\u00ebrdorni at\u00eb n\u00eb avantazhin tuaj \u00ebsht\u00eb jetik p\u00ebr suksesin e ardhsh\u00ebm t\u00eb biznesit tuaj.<\/p>\n\n\n\n

Nd\u00ebrsa AI luan nj\u00eb rol n\u00eb rritje n\u00eb operacionet e p\u00ebrditshme t\u00eb organizimeve, zhvillimi i njohurive t\u00eb AI \u00ebsht\u00eb thelb\u00ebsor p\u00ebr t\u00eb shfryt\u00ebzuar p\u00ebrfitimet e tij dhe p\u00ebr t\u00eb adresuar plot\u00ebsisht sfidat q\u00eb paraqet. AI ka potencialin p\u00ebr t\u00eb transformuar \u00e7do industri dhe aspekt t\u00eb jet\u00ebs, duke krijuar vende t\u00eb reja pune duke automatizuar t\u00eb tjer\u00ebt dhe duke p\u00ebrmir\u00ebsuar fusha si kujdesi sh\u00ebndet\u00ebsor. Trajnimi dhe mir\u00ebkuptimi i sakt\u00eb jan\u00eb thelb\u00ebsore p\u00ebr t\u00eb krijuar besim n\u00eb k\u00ebt\u00eb teknologji t\u00eb fuqishme.<\/p>\n\n\n\n

N\u00eb k\u00ebt\u00eb blog, ne do t\u00eb zbulojme se \u00e7far\u00eb \u00ebsht\u00eb AI n\u00eb t\u00eb v\u00ebrtet, llojet e ndryshme t\u00eb AI, si e p\u00ebrdorin industri t\u00eb ndryshme, sfidat q\u00eb paraqet dhe ku po shkon teknologjia e AI.<\/p>\n\n\n\n

\u00c7far\u00eb \u00ebsht\u00eb Teknologjia AI?<\/strong><\/p>\n\n\n\n


Teknologjia e inteligjenc\u00ebs artificiale (AI) \u00ebsht\u00eb inteligjenc\u00eb e ekspozuar nga makinerit\u00eb dhe sistemet kompjuterike q\u00eb simulojn\u00eb arsyetimin njer\u00ebzor<\/em>,<\/strong> duke kryer detyra q\u00eb p\u00ebrndryshe do t\u00eb k\u00ebrkonin inteligjenc\u00eb njer\u00ebzore. Duke p\u00ebrdorur algoritme, t\u00eb dh\u00ebna dhe fuqi llogarit\u00ebse, AI mund t\u00eb arsyetoj\u00eb, t\u00eb m\u00ebsoj\u00eb dhe t\u00eb zgjidh\u00eb probleme duke njohur modele t\u00eb bazuara n\u00eb p\u00ebrvoj\u00eb dhe duke marr\u00eb vendime t\u00eb bazuara n\u00eb t\u00eb dh\u00ebna t\u00eb informuara.<\/p>\n\n\n\n

Aft\u00ebsia e AI p\u00ebr t\u00eb p\u00ebrmir\u00ebsuar vendimmarrjen dhe p\u00ebr t\u00eb p\u00ebrmir\u00ebsuar zgjidhjen e problemeve po ndryshon kete biznes. P\u00ebr m\u00eb tep\u00ebr, ajo p\u00ebrpunon dhe analizon shpejt sasi t\u00eb m\u00ebdha t\u00eb dh\u00ebnash, duke identifikuar modelet dhe duke optimizuar proceset n\u00eb fusha t\u00eb ndryshme. Kjo fuqi p\u00ebrpunuese \u00e7on n\u00eb p\u00ebrdorim m\u00eb efektiv t\u00eb burimeve, ulje t\u00eb kostove dhe vendime strategjike m\u00eb t\u00eb mira. Nd\u00ebrsa AI vazhdon t\u00eb m\u00ebsoj\u00eb dhe p\u00ebrshtatet, ajo ndihmon sistemet t\u00eb evoluojn\u00eb, duke ofruar p\u00ebrmir\u00ebsime t\u00eb vazhdueshme dhe duke i b\u00ebr\u00eb operacionet m\u00eb efikase pa pasur nevoj\u00eb p\u00ebr nd\u00ebrhyrje t\u00eb vazhdueshme njer\u00ebzore.<\/p>\n\n\n\n

M\u00ebsimi i Makineris\u00eb<\/strong> (Machine learning)<\/p>\n\n\n\n


M\u00ebsimi i Makineris\u00eb (MM) \u00ebsht\u00eb nj\u00eb n\u00ebngrup i AI q\u00eb lejon sistemet e AI t\u00eb b\u00ebjn\u00eb parashikime dhe vendime bazuar n\u00eb t\u00eb dh\u00ebna. K\u00ebto sisteme p\u00ebrmir\u00ebsohen vazhdimisht nd\u00ebrsa p\u00ebrpunojn\u00eb m\u00eb shum\u00eb informacion pa u programuar n\u00eb m\u00ebnyr\u00eb eksplicite p\u00ebr secil\u00ebn detyr\u00eb. Disa shembuj t\u00eb zakonsh\u00ebm t\u00eb aplikacioneve MM p\u00ebrfshijn\u00eb motor\u00eb rekomandimi, t\u00eb cil\u00ebt Amazon dhe Netflix i p\u00ebrdorin p\u00ebr t\u00eb rekomanduar blerje ose shfaqje, filtra t\u00eb spam-it dhe automjete autonome.<\/p>\n\n\n\n

MM m\u00ebson AI duke p\u00ebrdorur m\u00ebsimin e mbik\u00ebqyrur, t\u00eb pambik\u00ebqyrur dhe p\u00ebrforcues:<\/p>\n\n\n\n

M\u00ebsimi i mbik\u00ebqyrur: trajnimi duke p\u00ebrdorur grupe t\u00eb dh\u00ebnash t\u00eb etiketuara p\u00ebr t\u00eb parashikuar rezultatet, t\u00eb p\u00ebrdorura zakonisht n\u00eb zbulimin e post\u00ebs s\u00eb pad\u00ebshiruar t\u00eb post\u00ebs elektronike pasi filtron midis “spam” ose “jo t\u00eb pad\u00ebshiruar”.
T\u00eb m\u00ebsuarit pa mbik\u00ebqyrje: <\/strong>t\u00eb m\u00ebsuarit nga t\u00eb dh\u00ebnat e paetiketuara p\u00ebr t\u00eb zbuluar modele dhe struktura. P\u00ebrdoret zakonisht n\u00eb segmentimin e klient\u00ebve, s\u00eb bashku me motor\u00ebt e rekomandimeve, p\u00ebr t\u00eb personalizuar strategjit\u00eb e marketingut bazuar n\u00eb karakteristikat e grupuara dhe sjelljet e kaluara.
T\u00eb m\u00ebsuarit p\u00ebrforcues:<\/strong> nd\u00ebrveprim me nj\u00eb mjedis p\u00ebr t\u00eb marr\u00eb vendime dhe p\u00ebr t\u00eb marr\u00eb reagime p\u00ebrmes shp\u00ebrblimeve dhe nd\u00ebshkimeve. P\u00ebrdoret zakonisht n\u00eb automjetet autonome, ku automjeti m\u00ebson t\u00eb marr\u00eb vendime p\u00ebr drejtimin e automjeteve bazuar n\u00eb reagimet n\u00eb shp\u00ebrblimet p\u00ebr veprimet e d\u00ebshirueshme (ngarje t\u00eb sigurt) dhe nd\u00ebshkimet p\u00ebr ato t\u00eb pad\u00ebshirueshme (p\u00ebrplasjet).
M\u00ebsimi i makineris\u00eb (MM) \u00ebsht\u00eb tashm\u00eb pas shum\u00eb teknologjive q\u00eb p\u00ebrdorim \u00e7do dit\u00eb, nga rekomandimet e personalizuara n\u00eb Google, YouTube dhe Amazon deri tek avancimet si makinat vet\u00eb-drejtuese, t\u00eb gjitha q\u00eb synojn\u00eb p\u00ebrmir\u00ebsimin e p\u00ebrvoj\u00ebs s\u00eb p\u00ebrdoruesit. Megjithat\u00eb, ne i drejtohemi nj\u00eb dege m\u00eb t\u00eb specializuar t\u00eb ML t\u00eb njohur si M\u00ebsimi i thell\u00eb p\u00ebr detyra q\u00eb k\u00ebrkojn\u00eb trajtimin e t\u00eb dh\u00ebnave m\u00eb komplekse, si njohja e imazhit ose p\u00ebrpunimi i gjuh\u00ebs. Le t\u00eb shqyrtojm\u00eb se si Deep Learning nd\u00ebrtohet n\u00eb ML p\u00ebr t\u00eb trajtuar k\u00ebto sfida.<\/p>\n\n\n\n

M\u00ebsimi i thell\u00eb (Deep Learning )
M\u00ebsimi i thell\u00eb (MT) \u00ebsht\u00eb nj\u00eb n\u00ebngrup i specializuar i MM q\u00eb p\u00ebrdor rrjetet nervore – nj\u00eb seri nyjesh t\u00eb nd\u00ebrlidhura me shum\u00eb shtresa t\u00eb modeluara sipas trurit t\u00eb njeriut – p\u00ebr t\u00eb analizuar modele komplekse n\u00eb grupe t\u00eb dh\u00ebnash t\u00eb m\u00ebdha. DL p\u00ebrparon ndjesh\u00ebm AI duke u mund\u00ebsuar sistemeve t\u00eb p\u00ebrpunojn\u00eb dhe interpretojn\u00eb t\u00eb dh\u00ebna t\u00eb pastrukturuara me sakt\u00ebsi t\u00eb papar\u00eb. Makinat q\u00eb drejtojn\u00eb vet\u00eb, njohja e fytyr\u00ebs dhe p\u00ebrkthimet e gjuh\u00ebve jan\u00eb vet\u00ebm disa nga fushat zakonisht t\u00eb suksesshme t\u00eb DL.<\/p>\n\n\n\n

Disa komponent\u00eb t\u00eb p\u00ebrdorur zakonisht t\u00eb AI n\u00eb DL jan\u00eb P\u00ebrpunimi i Gjuh\u00ebs Natyrore (PGN) dhe Vizioni Kompjuterik (VK):<\/p>\n\n\n\n

PGN i m\u00ebson kompjuter\u00ebt t\u00eb kuptojn\u00eb gjuh\u00ebn e shkruar dhe t\u00eb folur dhe t\u00eb prodhojn\u00eb nj\u00eb p\u00ebrgjigje t\u00eb ngjashme me njeriun, si\u00e7 shihet n\u00eb chatbot, mjetet gjuh\u00ebsore dhe analizat e ndjenjave (si ChatGPT ose Google Translate).
VK p\u00ebrpunon imazhe t\u00eb pap\u00ebrpunuara, video dhe media vizuale p\u00ebr klasifikimin e imazheve, njohjen e fytyr\u00ebs dhe zbulimin e objekteve (si Google Photos ose Face ID n\u00eb iPhone).
DL dhe komponent\u00eb si rrjetet nervore, PGN dhe VK fuqizojn\u00eb makinat t\u00eb imitojn\u00eb proceset e vendimmarrjes njer\u00ebzore.<\/p>\n\n\n\n

Llojet e AI<\/strong> (Inteligjences Artificiale)
AI mund t\u00eb klasifikohet n\u00eb dy lloje: aft\u00ebsi dhe funksionalitet.<\/p>\n\n\n\n

AI i bazuar n\u00eb aft\u00ebsi<\/strong><\/p>\n\n\n\n


AI-t\u00eb e bazuara n\u00eb aft\u00ebsi kan\u00eb dy aspekte: si m\u00ebsojn\u00eb dhe sa larg mund t\u00eb zbatojn\u00eb njohurit\u00eb e tyre.<\/p>\n\n\n\n

AI e ngusht\u00eb (AI e dob\u00ebt) \u00ebsht\u00eb krijuar p\u00ebr detyra specifike, duke shk\u00eblqyer n\u00eb nj\u00eb fush\u00eb pa aft\u00ebsin\u00eb p\u00ebr t\u00eb m\u00ebsuar p\u00ebrtej q\u00ebllimit t\u00eb saj. Ai p\u00ebrdor ML dhe rrjetet nervore p\u00ebr t\u00eb fuqizuar mjetet si asistent\u00ebt zanor\u00eb (p.sh. Siri, Alexa) dhe njohjen e fytyr\u00ebs (p.sh. Face ID).
Inteligjenca e P\u00ebrgjithshme Artificiale (IPA) ( AI e forte) \u00ebsht\u00eb nj\u00eb AI teorike me aft\u00ebsi njoh\u00ebse t\u00eb ngjashme me njeriun p\u00ebr t\u00eb m\u00ebsuar dhe zbatuar njohurit\u00eb n\u00ebp\u00ebr detyra. Megjith\u00ebse ende e larg\u00ebt, IPA mund t\u00eb dal\u00eb nga p\u00ebrparimet n\u00eb superkompjuter\u00ebt, harduerin kuantik dhe modelet gjeneruese si ChatGPT, por vjen me sfida teknike dhe etike.
Superinteligjenca Artificiale (SIA) (Super AI) \u00ebsht\u00eb nj\u00eb form\u00eb spekulative e AI q\u00eb tejkalon inteligjenc\u00ebn njer\u00ebzore, duke zgjidhur probleme p\u00ebrtej kapacitetit njer\u00ebzor. Aktualisht, vet\u00ebm SIA teorike do t\u00eb ishte e vet\u00ebdijshme dhe \u00ebsht\u00eb nj\u00eb tem\u00eb e studimit dhe debatit etik.
AI i bazuar n\u00eb funksionalitet
AI-t\u00eb e bazuara n\u00eb funksionalitet kategorizohen sipas m\u00ebnyr\u00ebs se si i zbatojn\u00eb aft\u00ebsit\u00eb e tyre t\u00eb t\u00eb m\u00ebsuarit p\u00ebr t\u00eb p\u00ebrpunuar t\u00eb dh\u00ebnat, p\u00ebr t’iu p\u00ebrgjigjur stimujve dhe p\u00ebr t\u00eb nd\u00ebrvepruar me mjedisin e tyre.<\/p>\n\n\n\n

Reactive Machine AI \u00ebsht\u00eb nj\u00eb sistem baz\u00eb i AI p\u00ebr m\u00ebsimin e makinerive q\u00eb mund t\u00eb reagoj\u00eb vet\u00ebm ndaj k\u00ebrkesave t\u00eb menj\u00ebhershme. P\u00ebr shkak se nuk mund t\u00eb ruaj\u00eb kujtes\u00ebn ose t\u00eb m\u00ebsoj\u00eb nga p\u00ebrvojat e kaluara, \u00ebsht\u00eb i dobish\u00ebm p\u00ebr funksione autonome, t\u00eb tilla si Deep Blue i IBM, i cili luan shah, ose motori i rekomandimeve t\u00eb Netflix.
AI me memorie t\u00eb kufizuar \u00ebsht\u00eb sistemi m\u00eb i spikatur i t\u00eb m\u00ebsuarit t\u00eb thell\u00eb t\u00eb AI q\u00eb p\u00ebrdor p\u00ebrvojat e kaluara p\u00ebr t\u00eb marr\u00eb vendime nga kujtesa e ruajtur, por vet\u00ebm p\u00ebrkoh\u00ebsisht. Inteligjenca artificiale e kufizuar zgjerohet n\u00eb aplikacione t\u00eb ndryshme, nga chatbot-et tek makinat vet\u00eb-drejtuese.
Theory of Mind AI \u00ebsht\u00eb nj\u00eb koncept i teorizuar i AI q\u00eb \u00ebsht\u00eb i vet\u00ebdijsh\u00ebm p\u00ebr emocionet, besimet dhe mendimet e t\u00eb tjer\u00ebve dhe aktualisht \u00ebsht\u00eb n\u00eb zhvillim e sip\u00ebr. Megjith\u00ebse mund t\u00eb sjell\u00eb p\u00ebrfitime pozitive, ai gjithashtu paraqet rrezikun e automatizimit t\u00eb disa vendeve t\u00eb pun\u00ebs dhe z\u00ebvend\u00ebsimit t\u00eb njer\u00ebzve.
Inteligjenca artificiale e vet\u00ebdijshme \u00ebsht\u00eb nj\u00eb koncept i teorizuar i AI n\u00eb nivelin m\u00eb t\u00eb avancuar, ku makinat jan\u00eb t\u00eb vet\u00ebdijshme dhe t\u00eb vet\u00ebdijshme p\u00ebr ekzistenc\u00ebn e tyre. Ende n\u00eb faz\u00ebn e spekulimeve si nj\u00eb nga q\u00ebllimet p\u00ebrfundimtare t\u00eb zhvillimit t\u00eb AI, Sophia nga Hanson Robotics \u00ebsht\u00eb nj\u00eb shembull i mire, si\u00e7 \u00ebsht\u00eb loja Detroit: B\u00ebhu Human.<\/p>\n\n\n\n

Aplikimet e AI n\u00eb t\u00eb gjith\u00eb industrit\u00eb<\/strong><\/p>\n\n\n\n


Inteligjenca artificiale ka shum\u00eb aplikime n\u00eb industri t\u00eb ndryshme. P\u00ebr shembull, AI p\u00ebrmir\u00ebson diagnostifikimin, trajtimin dhe efikasitetin operacional t\u00eb industris\u00eb s\u00eb kujdesit sh\u00ebndet\u00ebsor. Institucionet financiare p\u00ebrdorin AI p\u00ebr zbulimin e mashtrimit, menaxhimin e rrezikut dhe sh\u00ebrbime financiare t\u00eb personalizuara. N\u00eb prodhim, AI p\u00ebrmir\u00ebson produktivitetin, kontrollin e cil\u00ebsis\u00eb dhe mir\u00ebmbajtjen parashikuese duke automatizuar detyrat, t\u00eb tilla si sistemet e inspektimit vizual t\u00eb fuqizuar nga AI q\u00eb mund t\u00eb identifikojn\u00eb dhe heqin produktet me defekt n\u00eb linjat e montimit m\u00eb sakt\u00eb dhe me kosto m\u00eb efektive sesa pun\u00ebtor\u00ebt njer\u00ebzor\u00eb.<\/p>\n\n\n\n

Miratimi i shpejt\u00eb i AI po hap mund\u00ebsi t\u00eb reja, por po ngre gjithashtu shqet\u00ebsime p\u00ebr zhvendosjen e vendeve t\u00eb pun\u00ebs dhe m\u00ebnyr\u00ebn se si shoq\u00ebria do t\u00eb p\u00ebrshtatet. AI \u00ebsht\u00eb tashm\u00eb pjes\u00eb e jet\u00ebs s\u00eb p\u00ebrditshme, duke fuqizuar asistent\u00ebt virtual\u00eb si Siri dhe Alexa, sistemet e rekomandimeve n\u00eb platforma si Netflix dhe Amazon, madje edhe automjete autonome. Nd\u00ebrsa AI vazhdon t\u00eb form\u00ebsoj\u00eb bot\u00ebn ton\u00eb, \u00ebsht\u00eb thelb\u00ebsore t\u00eb merren parasysh sfidat e saj t\u00eb zhvillimit. Le t\u00eb shqyrtojm\u00eb disa nga \u00e7\u00ebshtjet kryesore q\u00eb na presin.<\/p>\n\n\n\n

Sfidat n\u00eb zhvillimin e AI<\/strong><\/p>\n\n\n\n


Sfidat teknike n\u00eb AI
Inteligjenca Artificiale ka disa pengesa teknike p\u00ebr t\u00eb kap\u00ebrcyer. Ajo ka nevoj\u00eb p\u00ebr t\u00eb dh\u00ebna me cil\u00ebsi t\u00eb lart\u00eb dhe t\u00eb paanshme p\u00ebr trajnim, algoritme transparente n\u00eb m\u00ebnyr\u00eb q\u00eb njer\u00ebzit t\u00eb mund t’u besojn\u00eb vendimeve t\u00eb saj dhe fuqi t\u00eb mjaftueshme kompjuterike p\u00ebr t\u00eb trajtuar modele t\u00eb m\u00ebdha. Shum\u00eb sisteme t\u00eb AI veprojn\u00eb si “kuti t\u00eb zeza”, q\u00eb do t\u00eb thot\u00eb se \u00ebsht\u00eb e v\u00ebshtir\u00eb t\u00eb kuptosh se si marrin vendime, gj\u00eb q\u00eb redukton besimin e individ\u00ebve tek ata. Krijimi i AI “t\u00eb shpjegueshme” \u00ebsht\u00eb nj\u00eb sfid\u00eb e madhe. AI gjithashtu ka v\u00ebshtir\u00ebsi n\u00eb p\u00ebrshtatjen me detyrat ose mjediset e reja p\u00ebrtej asaj p\u00ebr t\u00eb cil\u00ebn ishte trajnuar fillimisht, duke kufizuar fleksibilitetin e saj.<\/p>\n\n\n\n

Implikimet shoq\u00ebrore dhe etike<\/strong>.<\/p>\n\n\n\n


P\u00ebrve\u00e7 sfidave teknike, AI ngre shqet\u00ebsime sociale dhe etike. K\u00ebto p\u00ebrfshijn\u00eb zhvendosjen e mundshme t\u00eb pun\u00ebs p\u00ebr shkak t\u00eb automatizimit, \u00e7\u00ebshtjet e privat\u00ebsis\u00eb nga mbledhja dhe mbik\u00ebqyrja e t\u00eb dh\u00ebnave dhe rreziku i zmadhimit t\u00eb pabarazive sociale p\u00ebrmes sistemeve t\u00eb nj\u00ebanshme t\u00eb AI. Paragjykimi n\u00eb AI, i shkaktuar nga inputet e t\u00eb dh\u00ebnave me t\u00eb meta, mund t\u00eb \u00e7oj\u00eb n\u00eb “kolapsin e modelit”, ku performanca e nj\u00eb sistemi p\u00ebrkeq\u00ebsohet nd\u00ebrsa st\u00ebrvitet me t\u00eb dh\u00ebnat e tij t\u00eb gjeneruara ose me cil\u00ebsi t\u00eb dob\u00ebt, duke ngushtuar rezultatet e tij dhe duke zvog\u00ebluar sakt\u00ebsin\u00eb me kalimin e koh\u00ebs.<\/p>\n\n\n\n

Ka edhe keqkuptime rreth AI, si frika se do t\u00eb eliminoj\u00eb vendet e pun\u00ebs ose do t\u00eb k\u00ebrc\u00ebnoj\u00eb njer\u00ebzimin. AI ka m\u00eb shum\u00eb gjasa t\u00eb krijoj\u00eb mund\u00ebsi t\u00eb reja pune duke automatizuar detyra t\u00eb p\u00ebrs\u00ebritura ose t\u00eb rrezikshme, nj\u00ebsoj si risit\u00eb e m\u00ebparshme teknologjike.<\/p>\n\n\n\n

<\/p>\n","protected":false},"excerpt":{"rendered":"

Inteligjenca Artificiale (AI) ka evoluar nga automatizimi i thjesht\u00eb n\u00eb sisteme t\u00eb sofistikuara t\u00eb afta p\u00ebr t\u00eb m\u00ebsuar nga sasi t\u00eb m\u00ebdha t\u00eb dh\u00ebnash, duke mund\u00ebsuar aft\u00ebsi t\u00eb reja n\u00eb fusha t\u00eb ndryshme. Nuk \u00ebsht\u00eb \u00e7udi q\u00eb 77% e pajisjeve n\u00eb p\u00ebrdorim sot kan\u00eb nj\u00eb form\u00eb t\u00eb AI dhe se rreth dy t\u00eb tretat e […]<\/p>\n","protected":false},"author":1,"featured_media":7158,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"tdm_status":"","tdm_grid_status":"","footnotes":""},"categories":[897,250],"tags":[],"class_list":{"0":"post-7434","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-ai","8":"category-teknologji"},"yoast_head":"\nInteligjenca Artificiale shum\u00eb flitet shum\u00eb d\u00ebgjohet dhe shum\u00eb kuptohet, cfar\u00eb \u00ebsht\u00eb ajo n\u00eb t\u00eb v\u00ebrtet\u00eb. - Blogu i njoftimeve<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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