\u201ePoliteknika Txorierri\u201c dirbtinis intelektas neb\u0117ra ateities reikalas, tai kasdienio mokymosi dalis. Informatikos ir automatizavimo programose studentai jau dirba su kompiuterinio matymo sistemomis, geban\u010diomis aptikti objektus, atpa\u017einti modelius ir analizuoti aplink\u0105 realiuoju laiku. \u0160ios technologijos pad\u0117jo automatizuoti pramoninius procesus, pagerinti valdymo sistem\u0173 tikslum\u0105 ir priartinti studentus prie technologini\u0173 i\u0161\u0161\u016bki\u0173, su kuriais \u0161iandien susiduria \u012fmon\u0117s.<\/p>\n\n\n\n
Dabar mokykla \u017eengia dar vien\u0105 \u017eingsn\u012f \u012f priek\u012f, \u012fgyvendindama \u201eGenAISA\u201c projekt\u0105, diegdama generatyvin\u012f dirbtin\u012f intelekt\u0105 tiek akademin\u0117je, tiek administracin\u0117je srityse. Jei kompiuterin\u0117 rega leid\u017eia ma\u0161inoms matyti pasaul\u012f, tai generatyvinis dirbtinis intelektas leid\u017eia joms kurti ir apie j\u012f samprotauti \u2013 ra\u0161yti tekstus, apibendrinti dokumentus, generuoti vaizdus, kurti audiovizualin\u0119 med\u017eiag\u0105 arba analizuoti did\u017eiulius duomen\u0173 rinkinius per kelias sekundes.<\/p>\n\n\n\n
Tikslas ai\u0161kus: padidinti akademin\u012f ir administracin\u012f produktyvum\u0105 pasitelkiant i\u0161maniuosius \u012frankius, kurie pad\u0117t\u0173 tiek mokytojams, tiek mokiniams kasdieniame darbe. Klas\u0117je dirbtinis intelektas veiks kaip mokymosi asistentas, padedantis mokiniams rasti informacij\u0105, generuoti k\u016brybines id\u0117jas ir kurti techninius projektus. Tai naujas mokymosi b\u016bdas \u2013 autonomi\u0161kesnis, prakti\u0161kesnis ir pritaikytas kiekvieno mokinio tempui.<\/p>\n\n\n\n
Administracin\u0117je srityje potencialas yra ne ma\u017eiau \u012fdomus. Generatyviosios dirbtinio intelekto priemon\u0117s naudojamos dokumentams analizuoti ir klasifikuoti, duomenims valdyti efektyviau ir audiovizualinei med\u017eiagai komunikacijai kurti. Tai rei\u0161kia, kad ma\u017eiau laiko skiriama pasikartojan\u010dioms u\u017eduotims ir daugiau laiko k\u016brybi\u0161kumui, inovacijoms ir \u017emogi\u0161kajam ry\u0161iui, kuris i\u0161lieka profesinio mokymo pagrindu.<\/p>\n\n\n\n
\u0160i evoliucija vyksta reaguojant \u012f ai\u0161ki\u0105 tendencij\u0105. Vis daugiau partneri\u0173 \u012fmoni\u0173 reikalauja technik\u0173, kurie gal\u0117t\u0173 integruoti dirbtin\u012f intelekt\u0105 \u012f savo kasdien\u012f darb\u0105 ne tik su technologijomis susijusiose srityse, bet ir \u012fvairiose pramon\u0117s \u0161akose \u2013 nuo gamybos ir energetikos iki \u0161vietimo ir paslaug\u0173. Geb\u0117jimas naudoti dirbtin\u012f intelekt\u0105 produktyvumui didinti tapo esminiu profesiniu \u012fg\u016bd\u017eiu.<\/p>\n\n\n\n
\u0160ia iniciatyva \u201ePoliteknika Txorierri\u201c sustiprina savo \u012fsipareigojim\u0105 teikti praktin\u012f, novatori\u0161k\u0105 i\u0161silavinim\u0105, susiet\u0105 su realiais pramon\u0117s poreikiais. Student\u0173 rengimas atei\u010diai, kuri\u0105 formuos dirbtinis intelektas, n\u0117ra pasirinkimas, tai b\u016btina. Ir \u201ePoliteknika Txorierri\u201c \u0161i ateitis jau prasid\u0117jo.<\/p>","protected":false},"excerpt":{"rendered":"
\u201ePoliteknika Txorierri\u201c dirbtinis intelektas neb\u0117ra ateities reikalas, tai kasdienio mokymosi dalis. Informatikos ir automatizavimo program\u0173 studentai jau dirba su kompiuterinio matymo sistemomis, galin\u010diomis aptikti objektus, atpa\u017einti modelius ir analizuoti aplink\u0105 realiuoju laiku. \u0160ios technologijos pad\u0117jo automatizuoti pramoninius procesus, pagerinti\u2026<\/p>","protected":false},"author":2,"featured_media":3900,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_kad_blocks_custom_css":"","_kad_blocks_head_custom_js":"","_kad_blocks_body_custom_js":"","_kad_blocks_footer_custom_js":"","_kad_post_transparent":"","_kad_post_title":"","_kad_post_layout":"","_kad_post_sidebar_id":"","_kad_post_content_style":"","_kad_post_vertical_padding":"","_kad_post_feature":"","_kad_post_feature_position":"","_kad_post_header":false,"_kad_post_footer":false,"_kad_post_classname":"","footnotes":""},"categories":[12],"tags":[],"class_list":["post-3899","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-generative-ai-insights"],"acf":[],"taxonomy_info":{"category":[{"value":12,"label":"Generative AI Insights"}]},"featured_image_src_large":["https:\/\/genaisa.eu\/wp-content\/uploads\/2025\/11\/Diseno-sin-titulo-2025-10-22T170200.233-819x1024.png",819,1024,true],"author_info":{"display_name":"Nikolay Tsolev (RCCI)","author_link":"https:\/\/genaisa.eu\/lt\/author\/ntsolev\/"},"comment_info":1,"category_info":[{"term_id":12,"name":"Generative AI Insights","slug":"generative-ai-insights","term_group":0,"term_taxonomy_id":12,"taxonomy":"category","description":"Articles providing tips, trends, and knowledge on generative AI, its applications, and ethical considerations.","parent":0,"count":11,"filter":"raw","cat_ID":12,"category_count":11,"category_description":"Articles providing tips, trends, and knowledge on generative AI, its applications, and ethical considerations.","cat_name":"Generative AI Insights","category_nicename":"generative-ai-insights","category_parent":0}],"tag_info":false,"_links":{"self":[{"href":"https:\/\/genaisa.eu\/lt\/wp-json\/wp\/v2\/posts\/3899","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/genaisa.eu\/lt\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/genaisa.eu\/lt\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/genaisa.eu\/lt\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/genaisa.eu\/lt\/wp-json\/wp\/v2\/comments?post=3899"}],"version-history":[{"count":0,"href":"https:\/\/genaisa.eu\/lt\/wp-json\/wp\/v2\/posts\/3899\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/genaisa.eu\/lt\/wp-json\/wp\/v2\/media\/3900"}],"wp:attachment":[{"href":"https:\/\/genaisa.eu\/lt\/wp-json\/wp\/v2\/media?parent=3899"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/genaisa.eu\/lt\/wp-json\/wp\/v2\/categories?post=3899"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/genaisa.eu\/lt\/wp-json\/wp\/v2\/tags?post=3899"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}