NVIDIA CEO\u2019su, \u015firketin yeni nesil g\u00f6r\u00fcnt\u00fc-y\u00fckseltme teknolojisi DLSS\u202f5 hakk\u0131nda gelen ele\u015ftirilere yan\u0131t verdi. DLSS (Deep Learning Super Sampling), yapay zeka destekli bir y\u00f6ntemle oyun i\u00e7i g\u00f6rsellerin daha y\u00fcksek \u00e7\u00f6z\u00fcn\u00fcrl\u00fckte ve ak\u0131c\u0131 \u015fekilde g\u00f6r\u00fcnt\u00fclenmesini sa\u011fl\u0131yor. Ancak DLSS\u202f5 s\u00fcr\u00fcm\u00fc baz\u0131 \u00e7evrelerde beklentilerin alt\u0131nda kald\u0131\u011f\u0131 gerek\u00e7esiyle tart\u0131\u015fma konusu oldu.CEO\u2019nun a\u00e7\u0131klamas\u0131na g\u00f6re, DLSS\u202f5\u2019in performans ve kalite optimizasyonlar\u0131, \u00f6zellikle farkl\u0131 donan\u0131m konfig\u00fcrasyonlar\u0131nda tutarl\u0131 sonu\u00e7lar vermesi i\u00e7in dikkatle ayarland\u0131. Bu s\u00fcre\u00e7te geli\u015ftirici ekibin, her oyunda ayn\u0131 etkiyi yaratmak yerine, geni\u015f bir oyun portf\u00f6y\u00fcnde dengeli performans ve g\u00f6rsel kalite sunmay\u0131 \u00f6nceliklendirdi\u011fi vurguland\u0131. Ayr\u0131ca \u015firketin, kullan\u0131c\u0131 geri bildirimlerini takip ederek DLSS\u202f5\u2019i d\u00fczenli yaz\u0131l\u0131m g\u00fcncellemeleriyle geli\u015ftirmeye devam edece\u011fi belirtildi.Yetkili, teknolojinin karma\u015f\u0131kl\u0131\u011f\u0131na dikkat \u00e7ekerek yapay zeka destekli y\u00fckseltme \u00e7\u00f6z\u00fcmlerinin farkl\u0131 oyun motorlar\u0131 ve grafik mimarileriyle \u00e7al\u0131\u015f\u0131rken \u00e7e\u015fitli teknik meydan okumalarla kar\u015f\u0131la\u015ft\u0131\u011f\u0131n\u0131 ifade etti. Bu nedenle DLSS\u202f5\u2019in her durumda ayn\u0131 verimlili\u011fi g\u00f6stermesinin beklenmemesi gerekti\u011fini s\u00f6yledi.CEO, uzun vadede DLSS teknolojisinin hem g\u00f6rsel kalite hem de performans a\u00e7\u0131s\u0131ndan oyuncular\u0131n beklentilerini daha iyi kar\u015f\u0131layacak \u015fekilde evrilece\u011fini ve yeni s\u00fcr\u00fcmlerde yapay zeka e\u011fitim modellerinin daha da geli\u015ftirilmi\u015f h\u00e2llerinin yer alaca\u011f\u0131n\u0131 a\u00e7\u0131klad\u0131.Bu savunma, grafik teknolojilerindeki yeniliklerle ilgili tart\u0131\u015fmalar\u0131n ve rekabetin s\u00fcrd\u00fc\u011f\u00fc bir d\u00f6nemde geldi. Oyun ve donan\u0131m sekt\u00f6r\u00fcnde yapay zeka destekli teknolojilerin rol\u00fcn\u00fcn artmas\u0131yla birlikte, DLSS\u202f5\u2019in gelecekte alaca\u011f\u0131 g\u00fcncellemeler oyuncular\u0131n ve geli\u015ftiricilerin oda\u011f\u0131nda olmaya devam edecek.<\/p>\n\n\n\n
Kaynak: https:\/\/shiftdelete.net\/nvidia-ceosundan-dlss-5-savunmasi<\/p>\n\n\n\n
<\/p>\n","protected":false},"excerpt":{"rendered":"
NVIDIA CEO\u2019su, \u015firketin yeni nesil g\u00f6r\u00fcnt\u00fc-y\u00fckseltme teknolojisi DLSS\u202f5 hakk\u0131nda gelen ele\u015ftirilere yan\u0131t verdi. DLSS (Deep Learning Super Sampling), yapay zeka destekli bir y\u00f6ntemle oyun i\u00e7i g\u00f6rsellerin daha y\u00fcksek \u00e7\u00f6z\u00fcn\u00fcrl\u00fckte ve ak\u0131c\u0131 \u015fekilde g\u00f6r\u00fcnt\u00fclenmesini sa\u011fl\u0131yor. Ancak DLSS\u202f5 s\u00fcr\u00fcm\u00fc baz\u0131 \u00e7evrelerde beklentilerin alt\u0131nda kald\u0131\u011f\u0131 gerek\u00e7esiyle tart\u0131\u015fma konusu oldu.CEO\u2019nun a\u00e7\u0131klamas\u0131na g\u00f6re, DLSS\u202f5\u2019in performans ve kalite optimizasyonlar\u0131, \u00f6zellikle farkl\u0131 […]<\/p>\n","protected":false},"author":1,"featured_media":3242,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[9],"tags":[],"class_list":["post-3241","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-teknoloji"],"jetpack_featured_media_url":"https:\/\/gundexia.com\/wp-content\/uploads\/2026\/03\/1000106246.webp","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/gundexia.com\/index.php?rest_route=\/wp\/v2\/posts\/3241","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/gundexia.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/gundexia.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/gundexia.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/gundexia.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=3241"}],"version-history":[{"count":1,"href":"https:\/\/gundexia.com\/index.php?rest_route=\/wp\/v2\/posts\/3241\/revisions"}],"predecessor-version":[{"id":3243,"href":"https:\/\/gundexia.com\/index.php?rest_route=\/wp\/v2\/posts\/3241\/revisions\/3243"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/gundexia.com\/index.php?rest_route=\/wp\/v2\/media\/3242"}],"wp:attachment":[{"href":"https:\/\/gundexia.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=3241"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/gundexia.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=3241"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/gundexia.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=3241"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}