{"id":140276,"date":"2025-11-18T10:54:12","date_gmt":"2025-11-18T10:54:12","guid":{"rendered":"https:\/\/kamucalisani.net\/?p=140276"},"modified":"2025-11-18T10:54:12","modified_gmt":"2025-11-18T10:54:12","slug":"google-cok-daha-hizli-ve-dogru-tahminler-ureten-ai-hava-durumu-modelini-tanitti","status":"publish","type":"post","link":"https:\/\/kamucalisani.net\/index.php\/2025\/11\/18\/google-cok-daha-hizli-ve-dogru-tahminler-ureten-ai-hava-durumu-modelini-tanitti\/","title":{"rendered":"Google, \u00e7ok daha h\u0131zl\u0131 ve do\u011fru tahminler \u00fcreten AI hava durumu modelini tan\u0131tt\u0131"},"content":{"rendered":"<p><figure> <span> <img decoding=\"async\" src=\"https:\/\/kamucalisani.net\/wp-content\/uploads\/2025\/11\/google-cok-daha-hizli-ve-dogru-tahminler-ureten-ai-hava-durumu-modelini-tanitti-0-TDfWWGRm.jpg\"\/> <\/span> Google,\u00a0yeni ve geli\u015ftirilmi\u015f bir <strong>yapay zeka hava durumu modelini <\/strong>tan\u0131tt\u0131. \u015eirket, yeni modelini Arama, Gemini ve Pixel telefonlar\u0131na entegre ederek daha ba\u015far\u0131l\u0131 hava durumu tahminlerini kullan\u0131c\u0131lara sunacak. <\/figure>\n<p>\u015eirketin yapay zeka destekli tahminleri \u015fimdiye kadar olduk\u00e7a ba\u015far\u0131l\u0131 sonu\u00e7lar verdi. Yapay zeka tabanl\u0131 hava durumu modelleri, geleneksel fizi\u011fe dayal\u0131 modellere g\u00f6re <strong>hem daha h\u0131zl\u0131 hem de daha verimli tahminler \u00fcretebiliyor.<\/strong> Google\u2019\u0131n bu alandaki \u00e7al\u0131\u015fmalar\u0131 bug\u00fcne dek daha \u00e7ok deneysel seviyedeydi. \u015eimdi ise bu tahminleri \u00fcr\u00fcn ve hizmetleri i\u00e7in bir avantaj olarak sunmaya ba\u015fl\u0131yor.<\/p>\n<p><b>\u00d6nceki s\u00fcr\u00fcme g\u00f6re 8 kat daha h\u0131zl\u0131<\/b><\/p>\n<p>Yeni model <strong>WeatherNext 2<\/strong>, \u00f6nceki s\u00fcr\u00fcme k\u0131yasla tahminleri <strong>8 kat daha h\u0131zl\u0131<\/strong> olu\u015fturabiliyor ve <strong>s\u0131cakl\u0131k ile r\u00fczgar gibi de\u011fi\u015fkenlerin %99,9\u2019unda daha y\u00fcksek do\u011fruluk<\/strong> sa\u011fl\u0131yor. WeatherNext 2, tek bir ba\u015flang\u0131\u00e7 verisinden y\u00fczlerce olas\u0131 senaryo \u00fcretebiliyor. Google\u2019\u0131n <strong>TPU <\/strong>\u00e7ipleriyle bu tahmini \u00fcretmek bir dakikadan k\u0131sa s\u00fcrerken, geleneksel fizik tabanl\u0131 modellerde ayn\u0131 i\u015flem s\u00fcper bilgisayarda saatler alabiliyor.<\/p>\n<p>Geleneksel modeller, tahminler \u00fcretmek i\u00e7in atmosferin karma\u015f\u0131k fizi\u011fini yeniden olu\u015fturmaya \u00e7al\u0131\u015ft\u0131klar\u0131 i\u00e7in yo\u011fun hesaplama g\u00fcc\u00fc gerekiriyor.\u00a0Yapay zeka modelleri ise <strong>ge\u00e7mi\u015f hava durumu verilerindeki \u00f6r\u00fcnt\u00fcleri \u00f6\u011frenerek<\/strong> gelece\u011fe y\u00f6nelik tahminler yap\u0131yor.<\/p>\n<p>Google, WeatherNext 2\u2019de <strong>\u0130\u015flevsel \u00dcretken A\u011f <\/strong>(Functional Generative Network, FGN) ad\u0131n\u0131 verdi\u011fi y\u00f6ntemle s\u00fcreci h\u0131zland\u0131rd\u0131\u011f\u0131n\u0131 belirtiliyor. Eski yapay zeka modelleri tek bir tahmin olu\u015fturmak i\u00e7in tekrarlanan i\u015flemler gerektirirken, FGN, giri\u015f verisine her seferinde <strong>kontroll\u00fc bir rastgelelik ekleyerek <\/strong>modelin tek ad\u0131mda \u00e7ok say\u0131da olas\u0131 sonu\u00e7 \u00fcretmesini sa\u011fl\u0131yor.<\/p>\n<p>Bu geli\u015fme sayesinde WeatherNext 2, <strong>15 g\u00fcne kadar uzanan tahminler yapabiliyor ve saatlik veri \u00fcretebiliyor. <\/strong>Google, bunun hem kurumsal m\u00fc\u015fteriler hem de bireysel kullan\u0131c\u0131lar i\u00e7in \u00f6nemli bir avantajlar sunaca\u011f\u0131n\u0131 s\u00f6yl\u00fcyor.<\/p>\n<p>Google Research\u2019ten \u00fcr\u00fcn y\u00f6neticisi Akib Uddin, \u015funlar\u0131 s\u00f6yl\u00fcyor:<br \/> <em>\u201cEnerji, tar\u0131m, ula\u015f\u0131m ve lojistik gibi sekt\u00f6rlerdeki m\u00fc\u015fterilerin saatlik tahminlere olduk\u00e7a ilgi g\u00f6sterdi\u011fini g\u00f6rd\u00fck. Bu veriler, i\u015flerini etkileyen konularda daha hassas kararlar almalar\u0131n\u0131 sa\u011fl\u0131yor.\u201d<\/em><\/p>\n<p>Google, WeatherNext 2\u2019yi Haritalar, Arama, Gemini ve Pixel Weather\u2019a entegre etmenin yan\u0131 s\u0131ra, \u00f6zel model geli\u015ftirmek isteyen m\u00fc\u015fterilere de erken eri\u015fim program\u0131 sunuyor. Tahmin verileri ayr\u0131ca co\u011frafi analiz i\u00e7in Google Earth Engine\u2019de ve b\u00fcy\u00fck \u00f6l\u00e7ekli veri analizi i\u00e7in BigQuery\u2019de kullan\u0131labiliyor.<\/p>\n\n<p>Kaynak\u00a0 :\u00a0<span style=\"background-color: rgb(255, 249, 236); color: rgb(55, 58, 60); font-size: 14px;\">https:\/\/www.donanimhaber.com\/google-yapay-zeka-destekli-yeni-hava-durumu-modelini-tanitti&#8211;198685<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Google,\u00a0yeni ve geli\u015ftirilmi\u015f bir yapay zeka hava durumu modelini tan\u0131tt\u0131. \u015eirket, yeni modelini Arama, Gemini ve Pixel telefonlar\u0131na entegre ederek daha ba\u015far\u0131l\u0131 hava durumu tahminlerini kullan\u0131c\u0131lara sunacak. \u015eirketin yapay zeka destekli &#8230;<\/p>\n","protected":false},"author":1,"featured_media":140277,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[8],"tags":[400,449,9430,728,571],"class_list":["post-140276","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-teknoloji","tag-google","tag-model","tag-tahminler","tag-veri","tag-yapay-zeka"],"_links":{"self":[{"href":"https:\/\/kamucalisani.net\/index.php\/wp-json\/wp\/v2\/posts\/140276","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/kamucalisani.net\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/kamucalisani.net\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/kamucalisani.net\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/kamucalisani.net\/index.php\/wp-json\/wp\/v2\/comments?post=140276"}],"version-history":[{"count":1,"href":"https:\/\/kamucalisani.net\/index.php\/wp-json\/wp\/v2\/posts\/140276\/revisions"}],"predecessor-version":[{"id":140279,"href":"https:\/\/kamucalisani.net\/index.php\/wp-json\/wp\/v2\/posts\/140276\/revisions\/140279"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/kamucalisani.net\/index.php\/wp-json\/wp\/v2\/media\/140277"}],"wp:attachment":[{"href":"https:\/\/kamucalisani.net\/index.php\/wp-json\/wp\/v2\/media?parent=140276"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/kamucalisani.net\/index.php\/wp-json\/wp\/v2\/categories?post=140276"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/kamucalisani.net\/index.php\/wp-json\/wp\/v2\/tags?post=140276"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}