{"id":11427,"date":"2024-03-24T14:00:00","date_gmt":"2024-03-24T14:00:00","guid":{"rendered":"https:\/\/mapmetrics.org\/?p=11427"},"modified":"2025-11-08T16:13:26","modified_gmt":"2025-11-08T16:13:26","slug":"ai-and-blockchain-transforming-industries","status":"publish","type":"post","link":"https:\/\/mapmetrics.org\/tr\/blog\/ai-ve-blok-zinciri-endustrileri-donusturuyor\/","title":{"rendered":"AI ve Blockchain'in Sinerjisi: End\u00fcstrileri D\u00f6n\u00fc\u015ft\u00fcrmek."},"content":{"rendered":"<p>Teknolojinin h\u0131zla ilerlemesiyle, \u0130nsan Yapay Zek\u00e2s\u0131 (AI) ve Blockchain gibi iki g\u00fc\u00e7l\u00fc kuvvet birle\u015fiyor ve dijital d\u00fcnyam\u0131z\u0131 devrimle\u015ftirmeyi vaat ediyor. Blockchain, verileri depolamak i\u00e7in \u015feffaf ve g\u00fcvenli bir veritaban\u0131 sa\u011flarken, yapay zeka insan zihninin nas\u0131l problemler \u00e7\u00f6zd\u00fc\u011f\u00fcn\u00fc sim\u00fcle edebilir.\u00a0<\/p>\n\n\n\n<p>OpenAI'nin ChatGPT gibi AI, insanlar gibi \u00f6\u011frenip \u00fcretebilen ak\u0131ll\u0131 makineler olu\u015fturmak i\u00e7in nas\u0131l \u00e7al\u0131\u015ft\u0131\u011f\u0131n\u0131n m\u00fckemmel bir \u00f6rne\u011fidir.<\/p>\n\n\n\n<p>Bu makale, simbiyotik ili\u015fkilerinin birbirlerinin potansiyelini nas\u0131l art\u0131rd\u0131\u011f\u0131n\u0131 ve \u00e7e\u015fitli sekt\u00f6rlerde inovasyonu nas\u0131l te\u015fvik etti\u011fini inceleyecektir.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Yapay Zeka, Blockchain ve Kripto End\u00fcstrisini Yeniden \u015eekillendiriyor.<\/h2>\n\n\n\n<figure class=\"wp-block-image size-full\"><img fetchpriority=\"high\" decoding=\"async\" width=\"1000\" height=\"571\" src=\"https:\/\/mapmetrics.org\/wp-content\/uploads\/2024\/03\/The-image-representing-the-colaboration-between-AI-and-Blockchain.jpg\" alt=\"In a neon-lit futuristic cityscape, an AI robot interacts with a colorful, luminous blockchain structure, showcasing the integration of AI and blockchain technology.\" class=\"wp-image-11429\" srcset=\"https:\/\/mapmetrics.org\/wp-content\/uploads\/2024\/03\/The-image-representing-the-colaboration-between-AI-and-Blockchain.jpg 1000w, https:\/\/mapmetrics.org\/wp-content\/uploads\/2024\/03\/The-image-representing-the-colaboration-between-AI-and-Blockchain-300x171.jpg 300w, https:\/\/mapmetrics.org\/wp-content\/uploads\/2024\/03\/The-image-representing-the-colaboration-between-AI-and-Blockchain-18x10.jpg 18w\" sizes=\"(max-width: 1000px) 100vw, 1000px\" \/><\/figure>\n\n\n\n<p>Yapay Zeka, s\u00fcrekli de\u011fi\u015fen kripto para birimleri ve blok zinciri teknolojileri d\u00fcnyas\u0131nda de\u011fi\u015fimin bir kataliz\u00f6r\u00fc olarak ortaya \u00e7\u0131k\u0131yor. \u0130\u015fte yapay zekan\u0131n blok zinciri ve kripto end\u00fcstrisini nas\u0131l yeniden \u015fekillendirdi\u011fi.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">AI ile Geli\u015ftirilen Ak\u0131ll\u0131 S\u00f6zle\u015fmeler<\/h3>\n\n\n\n<p>Ak\u0131ll\u0131 s\u00f6zle\u015fmeler veya otomatik olarak \u00e7al\u0131\u015fan dijital anla\u015fmalar, blockchain ekosistemlerinin merkezindedir. Bunlar, arac\u0131s\u0131z otomatik i\u015flemleri m\u00fcmk\u00fcn k\u0131lan merkezi olmayan uygulamalar\u0131n temelini olu\u015fturur.<\/p>\n\n\n\n<p><strong>Ger\u00e7ek D\u00fcnya Tetikleyicileri:<\/strong> Ak\u0131ll\u0131 s\u00f6zle\u015fmeler, blok zinciri i\u00e7inde \u00f6nceden tan\u0131mlanm\u0131\u015f ko\u015fullara dayanarak i\u015fler. Yapay zeka destekli ak\u0131ll\u0131 s\u00f6zle\u015fmeler, statik kurallar\u0131n \u00f6tesine ge\u00e7er. Ger\u00e7ek d\u00fcnya olaylar\u0131na dayal\u0131 olarak adapte olurlar, bu da onlar\u0131 daha duyarl\u0131 ve ilgili hale getirir. \u00d6rne\u011fin, u\u00e7u\u015f gecikmeleri i\u00e7in otomatik \u00f6demeleri tetikleyen bir sigorta s\u00f6zle\u015fmesi. AI bile\u015feni u\u00e7u\u015f verilerini izler ve s\u00f6zle\u015fmeyi gerekti\u011finde uygular.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">\u00a0Veri Do\u011frulama ve Uzla\u015fma<\/h3>\n\n\n\n<p>Blok zincirleri, veri b\u00fct\u00fcnl\u00fc\u011f\u00fcn\u00fc sa\u011flamak i\u00e7in g\u00fc\u00e7l\u00fc bir ara\u00e7 sunar. Teknolojinin de\u011fi\u015fmez do\u011fas\u0131, bilgilerin kaydedildikten sonra de\u011fi\u015ftirilemeyece\u011fini garanti eder, bu da g\u00fcven i\u00e7in sa\u011flam bir temel olu\u015fturur. Yapay zeka (AI), bunu daha da geli\u015ftirerek ba\u015fka bir do\u011frulama katman\u0131 ekler.<\/p>\n\n\n\n<p>&nbsp;Yapay zeka algoritmalar\u0131, i\u015flem verilerini titizlikle analiz ederek anormallikleri ve \u015f\u00fcpheli desenleri arayabilir. Bu, finansal i\u015flemlerde al\u0131\u015f\u0131lmad\u0131k harcama davran\u0131\u015flar\u0131n\u0131 belirleme veya tarihsel verileri analiz ederek bir \u00fcr\u00fcn\u00fcn tedarik zinciri i\u00e7indeki k\u00f6kenini do\u011frulama gibi i\u015flevleri m\u00fcmk\u00fcn k\u0131lar. Sahte faaliyetlerin ve sahte \u00fcr\u00fcnlerin tespitini sa\u011flayarak, AI destekli do\u011frulama, blok zinciri ekosistemi i\u00e7inde genel g\u00fcveni g\u00fc\u00e7lendirir.<\/p>\n\n\n\n<p>Blok zincirleri gibi merkezi olmayan bir a\u011fda g\u00fcveni korumak sa\u011flam konsens\u00fcs mekanizmalar\u0131na ba\u011fl\u0131d\u0131r. Yapay zeka burada da kritik bir rol oynar. A\u011fdaki kat\u0131l\u0131mc\u0131lar\u0131n davran\u0131\u015flar\u0131n\u0131 analiz ederek, yapay zeka \u00f6nemli bir kontrol yapabilir: Bu kat\u0131l\u0131mc\u0131lar belirlenen konsens\u00fcs kurallar\u0131na uygun davran\u0131yorlar m\u0131? Bu, yaln\u0131zca sistemin temel prensiplerine uyulmas\u0131n\u0131 sa\u011flamakla kalmaz, ayn\u0131 zamanda sistemi manip\u00fcle etmeye \u00e7al\u0131\u015fan k\u00f6t\u00fc niyetli akt\u00f6rlerin tespitine de yard\u0131mc\u0131 olur. Sonu\u00e7 olarak, yapay zekan\u0131n katk\u0131s\u0131, blockchain a\u011f\u0131n\u0131n b\u00fct\u00fcnl\u00fc\u011f\u00fcn\u00fc koruyarak kullan\u0131c\u0131lar aras\u0131nda g\u00fcveni art\u0131r\u0131r.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Blockchain \u00d6l\u00e7eklenebilirlik \u00c7\u00f6z\u00fcmleri: Verimlili\u011fi AI ile G\u00fc\u00e7lendirmek<\/h3>\n\n\n\n<p>Blok zincirleri, verileri g\u00fcvenli ve \u015feffaf bir \u015fekilde kaydetmenin bir yolunu sunar, ancak kullan\u0131m\u0131 artt\u0131k\u00e7a artan i\u015flem hacmini y\u00f6netme zorlu\u011fu da artar. \u0130\u015fte yapay zekan\u0131n blok zincirlerinin \u00f6l\u00e7eklenebilirlik potansiyelini a\u00e7\u0131\u011fa \u00e7\u0131karmaya nas\u0131l yard\u0131mc\u0131 oldu\u011fu:<\/p>\n\n\n\n<p><strong>Par\u00e7alama ve Dinamik Tahsis:<\/strong> Y\u00f6netilebilir b\u00f6l\u00fcmlere ayr\u0131lm\u0131\u015f devasa bir veritaban\u0131n\u0131 hayal edin. Sharding, blok zincirleri i\u00e7in bunu yapar, i\u015f y\u00fck\u00fcn\u00fc daha k\u00fc\u00e7\u00fck, birbirine ba\u011fl\u0131 par\u00e7alara b\u00f6ler. Bu, paralel i\u015fleme imkan\u0131 sa\u011flar ve i\u015flem verimlili\u011fini \u00f6nemli \u00f6l\u00e7\u00fcde art\u0131r\u0131r. Yapay zeka, shard tahsisini dinamik olarak optimize ederek bu s\u00fcreci daha da geli\u015ftirebilir. Ger\u00e7ek zamanl\u0131 olarak a\u011f trafi\u011fini ve kullan\u0131c\u0131 davran\u0131\u015f\u0131n\u0131 analiz ederek, i\u015flemlerin en fazla kapasiteye sahip shard'a y\u00f6nlendirilmesini sa\u011flar.<\/p>\n\n\n\n<p><strong>Zorlu G\u00f6revler i\u00e7in Zincir D\u0131\u015f\u0131 Hesaplama:<\/strong> \u00d6zellikle yapay zekaya a\u011f\u0131rl\u0131kl\u0131 olarak ba\u011f\u0131ml\u0131 olan belirli blockchain uygulamalar\u0131, karma\u015f\u0131k hesaplamalar\u0131 i\u00e7erir. Bu hesaplamalar\u0131 do\u011frudan blockchain \u00fczerinde i\u015flemek kaynak yo\u011fun olabilir ve i\u015flemleri yava\u015flatabilir. AI, off-chain hesaplama sa\u011flayarak bir \u00e7\u00f6z\u00fcm sunar.&nbsp;<\/p>\n\n\n\n<p>Esasen, a\u011f\u0131r i\u015f y\u00fck\u00fc ana blok zincirinin d\u0131\u015f\u0131nda ger\u00e7ekle\u015fir, temel i\u015flevler i\u00e7in kaynaklar\u0131n serbest b\u0131rak\u0131lmas\u0131n\u0131 sa\u011flar. \u00d6rne\u011fin, karma\u015f\u0131k yapay zeka model e\u011fitimi ayr\u0131 sistemlerde ger\u00e7ekle\u015ftirilebilir, yaln\u0131zca nihai sonu\u00e7lar blok zincirine kaydedilir. Bu d\u0131\u015fa aktarma stratejisi blok zincirini optimize edilmi\u015f ve verimli tutar.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Gizlilik ve \u015eeffafl\u0131\u011f\u0131 AI ile Dengeli Tutma: S\u0131f\u0131r Bilgi Kan\u0131tlar\u0131<\/strong><\/h3>\n\n\n\n<p>Blok zincirleri tasar\u0131m\u0131 gere\u011fi \u015feffafl\u0131k sa\u011flar, ancak baz\u0131 durumlar gizlilik gerektirir. \u0130\u015fte burada AI devreye girer, \u00f6zellikle <a href=\"https:\/\/chain.link\/education\/zero-knowledge-proof-zkp\" target=\"_blank\" data-type=\"link\" data-id=\"https:\/\/chain.link\/education\/zero-knowledge-proof-zkp\" rel=\"noreferrer noopener\">S\u0131f\u0131r bilgi kan\u0131tlar\u0131<\/a> (ZKPs) ad\u0131 verilen g\u00fc\u00e7l\u00fc bir kriptografik ara\u00e7 arac\u0131l\u0131\u011f\u0131yla.<\/p>\n\n\n\n<p>ZKP'ler, kullan\u0131c\u0131lar\u0131n bilgileri kendilerine ait olduklar\u0131n\u0131 kan\u0131tlamalar\u0131n\u0131, bilgileri kendileri ortaya \u00e7\u0131karmadan yapmalar\u0131n\u0131 sa\u011flar. Kimli\u011finizi g\u00f6stermeden bir kul\u00fcbe girmek i\u00e7in yeterince ya\u015fl\u0131 oldu\u011funuzu kan\u0131tlamak gibi bir \u015fey d\u00fc\u015f\u00fcn\u00fcn. Blok zinciri ba\u011flam\u0131nda, ZKP'lerin sa\u011flad\u0131\u011f\u0131 olanaklar:<\/p>\n\n\n\n<p><strong>Gizlili\u011fi Koruyan \u0130\u015flemler<\/strong> \u0130\u015flemler, g\u00f6nderici, al\u0131c\u0131 veya hatta i\u015flem tutar\u0131 gibi belirli ayr\u0131nt\u0131lar\u0131 ortaya \u00e7\u0131karmadan do\u011frulanabilir. Bu, <a href=\"https:\/\/z.cash\/learn\/what-are-zk-snarks\/\" target=\"_blank\" data-type=\"link\" data-id=\"https:\/\/z.cash\/learn\/what-are-zk-snarks\/\" rel=\"noreferrer noopener\">ZK-SNARK<\/a> (S\u0131f\u0131r Bilgi \u00d6zl\u00fc Etkile\u015fimsiz Bilgi Arg\u00fcman\u0131) ad\u0131 verilen belirli bir ZKP t\u00fcr\u00fc arac\u0131l\u0131\u011f\u0131yla ba\u015far\u0131lmaktad\u0131r.<\/p>\n\n\n\n<p><strong>Se\u00e7imin G\u00fcc\u00fc<\/strong> ZKPs, kullan\u0131c\u0131lar\u0131n hangi bilgilerin \u00f6zel kalaca\u011f\u0131n\u0131 se\u00e7melerine olanak tan\u0131r. Bu, g\u00fc\u00e7l\u00fc blok zinciri sistemlerinin ay\u0131rt edici \u00f6zelliklerinden olan gizlilik ve \u015feffafl\u0131k aras\u0131nda bir denge sa\u011flar. Kullan\u0131c\u0131lar, blok zincirinin genel b\u00fct\u00fcnl\u00fc\u011f\u00fc ve denetlenebilirli\u011fi korunurken \u00f6zel olarak i\u015flem yapabilirler.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" width=\"1000\" height=\"571\" src=\"https:\/\/mapmetrics.org\/wp-content\/uploads\/2024\/03\/AI-and-Blockchain-intergration.jpg\" alt=\"In a neon-lit futuristic cityscape, an AI robot interacts with a colorful, luminous blockchain structure, showcasing the integration of artificial intelligence (AI)and blockchain technology.\" class=\"wp-image-11431\" srcset=\"https:\/\/mapmetrics.org\/wp-content\/uploads\/2024\/03\/AI-and-Blockchain-intergration.jpg 1000w, https:\/\/mapmetrics.org\/wp-content\/uploads\/2024\/03\/AI-and-Blockchain-intergration-300x171.jpg 300w, https:\/\/mapmetrics.org\/wp-content\/uploads\/2024\/03\/AI-and-Blockchain-intergration-18x10.jpg 18w\" sizes=\"(max-width: 1000px) 100vw, 1000px\" \/><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">Yapay Zeka ve Blok Zinciri'ni Birlikte Kullanan \u015eirketler<\/h2>\n\n\n\n<p><strong>CertiK:<\/strong> CertiK, blok zinciri, ak\u0131ll\u0131 s\u00f6zle\u015fmeler ve Web3 uygulamalar\u0131n\u0131 g\u00fcvence alt\u0131na almak i\u00e7in yapay zeka ve resmi do\u011frulama taraf\u0131ndan desteklenen ara\u00e7lar sa\u011flar. Teknolojileri g\u00fcvenlik risklerini belirler, veri i\u00e7g\u00f6r\u00fclerini izler ve kripto fon hareketlerini g\u00f6rselle\u015ftirir.<\/p>\n\n\n\n<p><strong>Core Scientific:<\/strong> Core Scientific, ki\u015fiselle\u015ftirilmi\u015f blok zinciri ve yapay zeka altyap\u0131s\u0131n\u0131 mevcut i\u015f a\u011flar\u0131yla entegre eder. Fiziksel altyap\u0131y\u0131, sunucular\u0131 ve yaz\u0131l\u0131mlar\u0131 g\u00fcncelleyerek enerji yo\u011fun i\u015flemler i\u00e7in optimal verimlilik sa\u011flar.<\/p>\n\n\n\n<p><strong>Token Metrics: <\/strong>Token Metrics, ki\u015fisel yat\u0131r\u0131m kararlar\u0131 i\u00e7in kripto para birimi e\u011filimlerini analiz etmek i\u00e7in yapay zeka kullan\u0131r. 6.000'den fazla kripto ve NFT projesinden veri tarayarak, kullan\u0131c\u0131lara bilin\u00e7li yat\u0131r\u0131m se\u00e7imleri yapmalar\u0131na yard\u0131mc\u0131 olacak piyasa i\u00e7g\u00f6r\u00fcleri elde eder.<\/p>\n\n\n\n<p>Bu \u015firketler, g\u00fcvenli\u011fi art\u0131rmak, i\u015flemleri optimize etmek ve \u00e7e\u015fitli alanlarda yenilik\u00e7i \u00e7\u00f6z\u00fcmler olu\u015fturmak i\u00e7in yapay zeka ve blok zincirini nas\u0131l birle\u015ftirdiklerini g\u00f6steriyor. AI ve blok zincirini bir arada kullanan bu \u015firketler hakk\u0131nda daha fazla bilgi i\u00e7in okumaya devam edin <a href=\"https:\/\/builtin.com\/artificial-intelligence\/blockchain-ai-examples\" target=\"_blank\" data-type=\"link\" data-id=\"https:\/\/builtin.com\/artificial-intelligence\/blockchain-ai-examples\" rel=\"noreferrer noopener\">burada<\/a><\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Sonu\u00e7<\/h2>\n\n\n\n<p>Yapay zeka (YZ) ve blockchain teknolojisinin birle\u015fimi, \u00f6zellikle de <a href=\"https:\/\/mapmetrics.org\/tr\/blog\/moduler-blockchainlerin-yukselisi\/\" data-type=\"link\" data-id=\"https:\/\/mapmetrics.org\/blog\/the-rise-of-modular-blockchains\/\" target=\"_blank\" rel=\"noreferrer noopener\">mod\u00fcler blok zincirlerinin<\/a>ortaya \u00e7\u0131kmas\u0131yla, k\u00fcresel ekonominin \u00e7e\u015fitli sekt\u00f6rlerini yeniden \u015fekillendirmek i\u00e7in heyecan verici bir olas\u0131l\u0131k sunuyor. YZ'nin g\u00f6revleri otomatikle\u015ftirme ve m\u00fc\u015fteri deneyimlerini iyile\u015ftirme uzmanl\u0131\u011f\u0131, blok zincirinin g\u00fc\u00e7l\u00fc g\u00fcvenlik ve \u015feffafl\u0131k \u00f6zellikleriyle m\u00fckemmel uyum sa\u011flar. Bu g\u00fc\u00e7l\u00fc kombinasyon, siber g\u00fcvenlik, tedarik zinciri y\u00f6netimi, finansal hizmetler ve merkezi olmayan pazarlar alanlar\u0131nda kurumsal uygulamalar\u0131 potansiyel olarak bozabilir.\u00a0<\/p>\n\n\n\n<p>Bu sinerjik entegrasyon, yeniliklerin ilk dalgas\u0131n\u0131 temsil eder. Hem yapay zeka hem de blok zinciri teknolojileri olgunla\u015ft\u0131k\u00e7a, i\u015f ve g\u00fcnl\u00fck ya\u015fam\u0131n peyzaj\u0131n\u0131 temel olarak de\u011fi\u015ftirecek \u00e7\u0131\u011f\u0131r a\u00e7an uygulamalarda art\u0131\u015f bekleyebiliriz. Bu ilerlemeler, i\u015f y\u00fcr\u00fctme, kaynaklar\u0131 y\u00f6netme ve \u00e7evremizle etkile\u015fim kurma \u015feklimizi d\u00f6n\u00fc\u015ft\u00fcrmeyi vaat ediyor.<\/p>","protected":false},"excerpt":{"rendered":"<p>As technology races forward, two powerful forces, Artificial Intelligence (AI) and Blockchain\u2014are merging, promising to revolutionize our digital world. Blockchain provides a transparent and safe database for storing data, and AI may simulate how the human mind solves problems.\u00a0 AI, such as OpenAI&#8217;s ChatGPT, is an excellent example of how AI works toward creating intelligent [&hellip;]<\/p>","protected":false},"author":8,"featured_media":11430,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[124],"tags":[155,109,106,130,134],"class_list":["post-11427","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-techtalk","tag-ai","tag-blockchain","tag-collaboration","tag-data","tag-privacy"],"_links":{"self":[{"href":"https:\/\/mapmetrics.org\/tr\/wp-json\/wp\/v2\/posts\/11427","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/mapmetrics.org\/tr\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/mapmetrics.org\/tr\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/mapmetrics.org\/tr\/wp-json\/wp\/v2\/users\/8"}],"replies":[{"embeddable":true,"href":"https:\/\/mapmetrics.org\/tr\/wp-json\/wp\/v2\/comments?post=11427"}],"version-history":[{"count":6,"href":"https:\/\/mapmetrics.org\/tr\/wp-json\/wp\/v2\/posts\/11427\/revisions"}],"predecessor-version":[{"id":14912,"href":"https:\/\/mapmetrics.org\/tr\/wp-json\/wp\/v2\/posts\/11427\/revisions\/14912"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/mapmetrics.org\/tr\/wp-json\/wp\/v2\/media\/11430"}],"wp:attachment":[{"href":"https:\/\/mapmetrics.org\/tr\/wp-json\/wp\/v2\/media?parent=11427"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mapmetrics.org\/tr\/wp-json\/wp\/v2\/categories?post=11427"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mapmetrics.org\/tr\/wp-json\/wp\/v2\/tags?post=11427"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}