{"id":2804,"date":"2023-08-05T19:21:38","date_gmt":"2023-08-05T16:21:38","guid":{"rendered":"https:\/\/marine-charts.com\/?p=2804"},"modified":"2023-08-07T19:17:19","modified_gmt":"2023-08-07T16:17:19","slug":"bringing-cutting-edge-ai-artificial-intelligence-to-the-maritime-shipping-industry","status":"publish","type":"post","link":"https:\/\/marine-charts.com\/tr\/voyage-optimisation\/bringing-cutting-edge-ai-artificial-intelligence-to-the-maritime-shipping-industry\/","title":{"rendered":"Deniz ta\u015f\u0131mac\u0131l\u0131\u011f\u0131 end\u00fcstrisine en son AI&#039;y\u0131 (Yapay Zeka) getirmek"},"content":{"rendered":"<h2 class=\"wp-block-heading\">DEEPSEA: Yapay Zeka (AI) taraf\u0131ndan desteklenen yeni nesil yolculuk optimizasyonu<\/h2>\n\n\n\n<p>Filonuzun dekarbonizasyon y\u00f6r\u00fcngesini an\u0131nda h\u0131zland\u0131rmak ve yak\u0131t maliyetlerini azaltmak i\u00e7in Yapay Zeka (AI) Performans Y\u00f6nlendirmesini kullan\u0131n. Performans Y\u00f6nlendirme, filonuzun yak\u0131t t\u00fcketimi ve bug\u00fcn CII \u00fczerinde b\u00fcy\u00fck, \u00f6l\u00e7\u00fclebilir bir etki yapacak ve ilk g\u00fcnden itibaren y\u00fcksek etkili sonu\u00e7lar verecektir.<\/p>\n\n\n\n<p><em>\u201c<\/em><strong><em>Derin Deniz Gemisi Sefer Optimizasyonu<\/em> AI \u00c7\u00f6z\u00fcm\u00fc <em>emisyonlar\u0131 azalt\u0131r, yak\u0131t t\u00fcketimini azalt\u0131r ve \u00e7al\u0131\u015fma s\u0131ras\u0131nda g\u00fcvenli\u011fi art\u0131r\u0131r. Yelkenin t\u00fcm y\u00f6nlerinde bir kazan-kazan durumu<\/em><\/strong><em>\u201c<\/em><\/p>\n\n\n\n<p>Geir Fagerheim (Deniz Operasyonlar\u0131ndan Sorumlu Ba\u015fkan Yard\u0131mc\u0131s\u0131) Wallenius Wilhelmsen<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" width=\"817\" height=\"497\" src=\"https:\/\/marine-charts.com\/wp-content\/uploads\/Deepsea-AI-Wallenius-Wilhelmsen-cargo-vessels.jpg\" alt=\"Wallenius-Wilhelmsen, kargo gemileri i\u00e7in DeepSea AI sefer rotas\u0131 optimizasyonunu kullan\u0131yor\" class=\"wp-image-2855\" srcset=\"https:\/\/marine-charts.com\/wp-content\/uploads\/Deepsea-AI-Wallenius-Wilhelmsen-cargo-vessels.jpg 817w, https:\/\/marine-charts.com\/wp-content\/uploads\/Deepsea-AI-Wallenius-Wilhelmsen-cargo-vessels-300x182.jpg 300w, https:\/\/marine-charts.com\/wp-content\/uploads\/Deepsea-AI-Wallenius-Wilhelmsen-cargo-vessels-768x467.jpg 768w, https:\/\/marine-charts.com\/wp-content\/uploads\/Deepsea-AI-Wallenius-Wilhelmsen-cargo-vessels-18x12.jpg 18w\" sizes=\"(max-width: 817px) 100vw, 817px\" \/><figcaption class=\"wp-element-caption\">Wallenius-Wilhelmsen, kargo gemileri i\u00e7in DeepSea AI sefer rotas\u0131 optimizasyonunu kullan\u0131yor<\/figcaption><\/figure>\n\n\n\n<p><strong>Dekarbonizasyon i\u00e7in Gemi Seferi Optimizasyonu \u2013 Yapay Zeka \u00c7\u00f6z\u00fcm\u00fc<\/strong>:<a href=\"https:\/\/www.deepsea.ai\/knowledge_hub\/moving-the-goalposts-with-wallenius-wilhelmsen-watch-the-webinar\/\" target=\"_blank\" rel=\"noopener\"><\/a><\/p>\n\n\n\n<p><strong>Derin deniz <\/strong>gemileri daha verimli hale getirmek i\u00e7in en son AI teknolojisinden yararlan\u0131r. Teknoloji ve denizcilik uzmanlar\u0131n\u0131 bir araya getiren DeepSea, <strong>verimlili\u011fi art\u0131rmak<\/strong> ve <strong>gemilerin yak\u0131t t\u00fcketimini azaltmak<\/strong> Yapay zeka taraf\u0131ndan olu\u015fturulan ayr\u0131nt\u0131l\u0131 performans modelleriyle desteklenen teknik ve operasyonel i\u00e7g\u00f6r\u00fclerin bir kombinasyonu arac\u0131l\u0131\u011f\u0131yla. 21. y\u00fczy\u0131l i\u00e7in performans gemisi rotas\u0131.<\/p>\n\n\n\n<p>Denizcilik end\u00fcstrisini daha yal\u0131n, daha ye\u015fil ve daha ba\u011flant\u0131l\u0131 hale getirmek i\u00e7in ileri g\u00f6r\u00fc\u015fl\u00fc nakliye \u015firketleriyle \u00e7al\u0131\u015f\u0131yoruz.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Deniz ta\u015f\u0131mac\u0131l\u0131\u011f\u0131 i\u00e7in Yapay Zeka (AI) \u00e7\u00f6z\u00fcmleri<\/h3>\n\n\n\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" width=\"850\" height=\"207\" src=\"https:\/\/marine-charts.com\/wp-content\/uploads\/DEEPSEA-next-generation-voyage-optimisation-powered-by-AI-850x207-1.jpg\" alt=\"\" class=\"wp-image-2891\" srcset=\"https:\/\/marine-charts.com\/wp-content\/uploads\/DEEPSEA-next-generation-voyage-optimisation-powered-by-AI-850x207-1.jpg 850w, https:\/\/marine-charts.com\/wp-content\/uploads\/DEEPSEA-next-generation-voyage-optimisation-powered-by-AI-850x207-1-300x73.jpg 300w, https:\/\/marine-charts.com\/wp-content\/uploads\/DEEPSEA-next-generation-voyage-optimisation-powered-by-AI-850x207-1-768x187.jpg 768w, https:\/\/marine-charts.com\/wp-content\/uploads\/DEEPSEA-next-generation-voyage-optimisation-powered-by-AI-850x207-1-18x4.jpg 18w\" sizes=\"(max-width: 850px) 100vw, 850px\" \/><\/figure>\n\n\n\n<p>DeepSea, deniz ta\u015f\u0131mac\u0131l\u0131\u011f\u0131 end\u00fcstrisini daha yal\u0131n, daha ye\u015fil ve daha ba\u011flant\u0131l\u0131 hale getirmek i\u00e7in ileri g\u00f6r\u00fc\u015fl\u00fc deniz ta\u015f\u0131mac\u0131l\u0131\u011f\u0131 \u015firketleriyle birlikte \u00e7al\u0131\u015f\u0131r. Denizcilik end\u00fcstrisine Yapay Zekan\u0131n (AI) en iyilerini getirmek i\u00e7in 2017&#039;de kuruldu ve denizcili\u011fin \u00f6nde gelenlerinden <strong>AI ekibi<\/strong>, sekt\u00f6rdeki en geli\u015fmi\u015f AI ekibi taraf\u0131ndan desteklenmektedir. Aktif ara\u015ft\u0131rma k\u00fclt\u00fcr\u00fcyle, d\u00fcnya \u00e7ap\u0131ndaki konferanslara akademik makalelerle katk\u0131da bulunur, yapay zeka alan\u0131nda uluslararas\u0131 giri\u015fimler y\u00fcr\u00fct\u00fcr ve t\u00fcm bu geli\u015fmeleri verimlilik art\u0131r\u0131c\u0131 \u00fcr\u00fcnlerine ta\u015f\u0131r.<\/p>\n\n\n\n<h5 class=\"wp-block-heading\">\u201cAI, dekarbonizasyonun gizli silah\u0131d\u0131r \u2013 her filo i\u00e7in dramatik bir geli\u015fme sa\u011flayabilen bir &#039;g\u00fcm\u00fc\u015f kur\u015fun&#039;. CII, k\u00e2rl\u0131l\u0131k, varl\u0131k de\u011feri \u2013 m\u00fc\u015fterilerimizin temel metriklerini her y\u00f6nden geli\u015ftirmelerine yard\u0131mc\u0131 olur.<\/h5>\n\n\n\n<h6 class=\"wp-block-heading\">Konstantinos Kyriakopoulos, <strong>Derin Deniz CEO&#039;su<\/strong><\/h6>\n\n\n\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<iframe title=\"AI: denizcilik end\u00fcstrisi i\u00e7in oyun de\u011fi\u015ftirici\" width=\"500\" height=\"281\" src=\"https:\/\/www.youtube.com\/embed\/31fhfFAH6O8?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe>\n<\/div><\/figure>\n\n\n\n<p><a href=\"https:\/\/www.deepsea.ai\/company\/\" target=\"_blank\" rel=\"noreferrer noopener\">DeepSea \u2013 denizcilik end\u00fcstrisi i\u00e7in yapay zeka<\/a><\/p>\n\n\n\n<p>S\u00fcrekli olarak yapay zeka g\u00fcd\u00fcml\u00fc, optimize edilmi\u015f bir gemi yolculu\u011fu sa\u011flamak i\u00e7in DeepSea, geminizden veri al\u0131r ve (AI ile), geminizin durumuna tam olarak uyacak ve daha verimli gemiler \u00e7al\u0131\u015ft\u0131rman\u0131za yard\u0131mc\u0131 olacak \u015fekilde canl\u0131 olarak g\u00fcncellenen Bulutta do\u011fru bir gemi modeli olu\u015fturur. ve daha verimli seferler, her gemi i\u00e7in \u00f6zel olarak planlanm\u0131\u015f seferler.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" width=\"960\" height=\"524\" src=\"https:\/\/marine-charts.com\/wp-content\/uploads\/AI-driven-optimised-vessel-voyage-960x524-1.jpg\" alt=\"AI (yapay Zeka) g\u00fcd\u00fcml\u00fc optimize edilmi\u015f gemi yolculu\u011fu\" class=\"wp-image-2840\" srcset=\"https:\/\/marine-charts.com\/wp-content\/uploads\/AI-driven-optimised-vessel-voyage-960x524-1.jpg 960w, https:\/\/marine-charts.com\/wp-content\/uploads\/AI-driven-optimised-vessel-voyage-960x524-1-300x164.jpg 300w, https:\/\/marine-charts.com\/wp-content\/uploads\/AI-driven-optimised-vessel-voyage-960x524-1-768x419.jpg 768w, https:\/\/marine-charts.com\/wp-content\/uploads\/AI-driven-optimised-vessel-voyage-960x524-1-18x10.jpg 18w\" sizes=\"(max-width: 960px) 100vw, 960px\" \/><figcaption class=\"wp-element-caption\">AI (yapay Zeka) g\u00fcd\u00fcml\u00fc optimize edilmi\u015f gemi yolculu\u011fu<\/figcaption><\/figure>\n\n\n\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" width=\"960\" height=\"366\" src=\"https:\/\/marine-charts.com\/wp-content\/uploads\/vessel-voyage-optimisation-powered-by-AI-Artificial-Intelligence-960x366-1.jpg\" alt=\"(AI) Yapay Zeka taraf\u0131ndan desteklenen gemi yolculu\u011fu optimizasyonu\" class=\"wp-image-2842\" srcset=\"https:\/\/marine-charts.com\/wp-content\/uploads\/vessel-voyage-optimisation-powered-by-AI-Artificial-Intelligence-960x366-1.jpg 960w, https:\/\/marine-charts.com\/wp-content\/uploads\/vessel-voyage-optimisation-powered-by-AI-Artificial-Intelligence-960x366-1-300x114.jpg 300w, https:\/\/marine-charts.com\/wp-content\/uploads\/vessel-voyage-optimisation-powered-by-AI-Artificial-Intelligence-960x366-1-768x293.jpg 768w, https:\/\/marine-charts.com\/wp-content\/uploads\/vessel-voyage-optimisation-powered-by-AI-Artificial-Intelligence-960x366-1-18x7.jpg 18w\" sizes=\"(max-width: 960px) 100vw, 960px\" \/><figcaption class=\"wp-element-caption\">(AI) Yapay Zeka taraf\u0131ndan desteklenen gemi yolculu\u011fu optimizasyonu<\/figcaption><\/figure>\n\n\n\n<p><strong>DEEPSEA Pythia \u2013 21. y\u00fczy\u0131l i\u00e7in performans gemisi rotas\u0131<\/strong><br>T\u00fcm hava ko\u015fullar\u0131nda teknenizin tam performans\u0131na g\u00f6re uyarlanm\u0131\u015f d\u00fcnyan\u0131n ilk hava durumu y\u00f6nlendirme platformu. G\u00fc\u00e7l\u00fc yapay zeka modelleri, teknenizin her t\u00fcrl\u00fc hava ve kirlilik ko\u015fulunda tam olarak nas\u0131l performans g\u00f6sterdi\u011fini anlar.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" width=\"768\" height=\"332\" src=\"https:\/\/marine-charts.com\/wp-content\/uploads\/Deepsee-AI-Vessel-Voyage-Optimisation-for-maritime-shipping-industry.jpg\" alt=\"\" class=\"wp-image-2886\" srcset=\"https:\/\/marine-charts.com\/wp-content\/uploads\/Deepsee-AI-Vessel-Voyage-Optimisation-for-maritime-shipping-industry.jpg 768w, https:\/\/marine-charts.com\/wp-content\/uploads\/Deepsee-AI-Vessel-Voyage-Optimisation-for-maritime-shipping-industry-300x130.jpg 300w, https:\/\/marine-charts.com\/wp-content\/uploads\/Deepsee-AI-Vessel-Voyage-Optimisation-for-maritime-shipping-industry-18x8.jpg 18w\" sizes=\"(max-width: 768px) 100vw, 768px\" \/><\/figure>\n\n\n\n<p>DeepSea&#039;nin platformu \u015fu anda 20&#039;den fazla gemi filosunda kullan\u0131lmaktad\u0131r ve her geminin enerji t\u00fcketimini m\u00fcmk\u00fcn olan her ko\u015fulda tahmin etmek \u00fczere e\u011fitilmi\u015f derin \u00f6\u011frenme modellerine dayal\u0131 olarak her gemi i\u00e7in do\u011fru bir \u015fekilde ki\u015fiselle\u015ftirilmi\u015f h\u0131z ve gemi rotas\u0131 \u00f6nerileri sunmaktad\u0131r. <br><em><br>&quot;Ka\u00e7 y\u0131ll\u0131k deneyime sahip olursa olsun, hi\u00e7bir insan bu otomatikle\u015ftirilmi\u015f talimatlarla rekabet edemez. Emisyonlar\u0131 azalt\u0131yorlar, yak\u0131t t\u00fcketimini azalt\u0131yorlar ve operasyonel g\u00fcvenli\u011fi art\u0131r\u0131yorlar.\u201d <br><br>&quot;Denizcili\u011fin her alan\u0131nda bir kazan-kazan durumu.&quot;<\/em><\/p>\n\n\n\n<p>Geir Fagerheim, Wallenius Wilhelmsen Shipping Company&#039;de Deniz Operasyonlar\u0131ndan Sorumlu K\u0131demli Ba\u015fkan Yard\u0131mc\u0131s\u0131<\/p>\n\n\n\n<p>Denizcilik end\u00fcstrisinde yeni teknoloji ve uygulamalar\u0131n tan\u0131t\u0131lmas\u0131nda lider olarak tan\u0131nan Wallenius Wilhelmsen, 120&#039;den fazla Ro-Ro gemisinden olu\u015fan filosunun tamam\u0131nda gemi seferlerini optimize etmek i\u00e7in tamamen yapay zeka tabanl\u0131 bir yakla\u015f\u0131m\u0131 benimseyen ilk k\u00fcresel denizcilik \u015firketi oldu. .<\/p>\n\n\n\n<p>D\u00fcnyan\u0131n en b\u00fcy\u00fck otomobil ta\u015f\u0131y\u0131c\u0131s\u0131 Wallenius Wilhelmsen, bu anla\u015fmaya varmak i\u00e7in DeepSea yaz\u0131l\u0131m\u0131n\u0131n 18 ayl\u0131k titiz bir denemesini y\u00fcr\u00fctt\u00fc. DeepSea Ba\u015fkan\u0131 Roberto Cuestas (DeepSea), &quot;Bu, denizcilikte yapay zekan\u0131n (AI) anlaml\u0131 ve kan\u0131tlanm\u0131\u015f uygulamas\u0131 i\u00e7in bir d\u00f6n\u00fcm noktas\u0131d\u0131r,&quot; dedi, &quot;Art\u0131k piyasada yak\u0131t tasarrufu yapma, emisyonlar\u0131 azaltma ve gereksinimleri kar\u015f\u0131lama iddias\u0131nda olan bir\u00e7ok \u00e7\u00f6z\u00fcm var. \u00e7evresel d\u00fczenlemeler - ve bunlar\u0131n \u00e7o\u011fu sadece s\u00f6zde. Nakliye \u015firketlerinin neyin ger\u00e7ek neyin pazarlama oldu\u011funu ay\u0131rt etmesi zordur. Bu ortakl\u0131k, sekt\u00f6rdeki en geli\u015fmi\u015f \u015firketlerden biri taraf\u0131ndan teknolojimiz ve yakla\u015f\u0131m\u0131m\u0131z i\u00e7in bir ba\u015fka onay damgas\u0131d\u0131r.\u201d 18 ayl\u0131k deneme, Wallenius Wilhelmsen&#039;in filosunun bir alt k\u00fcmesinde 7%&#039;lik tamamen do\u011frulanm\u0131\u015f bir performans art\u0131\u015f\u0131 sa\u011flad\u0131 ve proje t\u00fcm filoda tamamland\u0131\u011f\u0131nda, bu rakam\u0131n 10%&#039;ye \u00e7\u0131kmas\u0131 bekleniyor. Bu, 75.000 tondan fazla yak\u0131t tasarrufu ve 240.000 ton karbon dioksitin (C02) sal\u0131nmamas\u0131 anlam\u0131na geliyor ve gemilerin yeni end\u00fcstri emisyon d\u00fczenlemelerine uymas\u0131na \u00f6nemli \u00f6l\u00e7\u00fcde yard\u0131mc\u0131 olacak. Wallenius Wilhelmsen, 2030 y\u0131l\u0131na kadar emisyonlar\u0131 27,5% azaltmak i\u00e7in iddial\u0131 hedefler belirledi. \u201cBu azalt\u0131m\u0131n yar\u0131s\u0131 mevcut gemilerden gelmeli. Mevcut filomuza \u00e7evre dostu \u00e7\u00f6z\u00fcmler bulmak i\u00e7in \u00f6zenle \u00e7al\u0131\u015f\u0131yoruz. Wallenius Wilhelmsen Deniz Operasyonlar\u0131 K\u0131demli Ba\u015fkan Yard\u0131mc\u0131s\u0131 Geir Fagerheim, &quot;Hedefimiz, t\u00fcm filomuzda artan gemi verimlili\u011fi i\u00e7in bu yenilik\u00e7i yolculuk optimizasyon \u00e7\u00f6z\u00fcm\u00fcn\u00fc uygulamakt\u0131r&quot; dedi.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" width=\"850\" height=\"647\" src=\"https:\/\/marine-charts.com\/wp-content\/uploads\/voyage-optimisation-powered-by-AI-deepsea-platform-3a.png\" alt=\"\" class=\"wp-image-2894\" srcset=\"https:\/\/marine-charts.com\/wp-content\/uploads\/voyage-optimisation-powered-by-AI-deepsea-platform-3a.png 850w, https:\/\/marine-charts.com\/wp-content\/uploads\/voyage-optimisation-powered-by-AI-deepsea-platform-3a-300x228.png 300w, https:\/\/marine-charts.com\/wp-content\/uploads\/voyage-optimisation-powered-by-AI-deepsea-platform-3a-768x585.png 768w, https:\/\/marine-charts.com\/wp-content\/uploads\/voyage-optimisation-powered-by-AI-deepsea-platform-3a-16x12.png 16w\" sizes=\"(max-width: 850px) 100vw, 850px\" \/><\/figure>\n\n\n\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" width=\"850\" height=\"549\" src=\"https:\/\/marine-charts.com\/wp-content\/uploads\/voyage-optimisation-powered-by-AI-deepsea-platform-6a-850x549-1.jpg\" alt=\"\" class=\"wp-image-2897\" srcset=\"https:\/\/marine-charts.com\/wp-content\/uploads\/voyage-optimisation-powered-by-AI-deepsea-platform-6a-850x549-1.jpg 850w, https:\/\/marine-charts.com\/wp-content\/uploads\/voyage-optimisation-powered-by-AI-deepsea-platform-6a-850x549-1-300x194.jpg 300w, https:\/\/marine-charts.com\/wp-content\/uploads\/voyage-optimisation-powered-by-AI-deepsea-platform-6a-850x549-1-768x496.jpg 768w, https:\/\/marine-charts.com\/wp-content\/uploads\/voyage-optimisation-powered-by-AI-deepsea-platform-6a-850x549-1-18x12.jpg 18w\" sizes=\"(max-width: 850px) 100vw, 850px\" \/><\/figure>\n\n\n\n<p>\u2013 \u2013 \u2013<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Denizcilik End\u00fcstrisi Karbon Emisyonlar\u0131n\u0131 Nas\u0131l Azaltabilir?<\/h2>\n\n\n\n<p>Yunan \u015firketi DeepSea AI&#039;nin Singapur, Norve\u00e7, Japonya vb. nakliye \u015firketlerini i\u00e7eren m\u00fc\u015fterileri, DeepSea&#039;nin teknolojisi sayesinde 8%-12% yak\u0131ttan tasarruf edebilir ve \u00e7evresel ayak izlerini azaltabilir. Rotas\u0131n\u0131n gemi kaptan\u0131 taraf\u0131ndan de\u011fil, bir algoritma taraf\u0131ndan \u201cbelirlendi\u011fi\u201d otonom gemilerin geli\u015ftirilmesinin yolu, Konstantinos Kyriakopoulos ve Roberto Kousta taraf\u0131ndan kurulan DeepSea Technologies&#039;in Japon \u00e7ok uluslu Nabtesco taraf\u0131ndan sat\u0131n al\u0131nmas\u0131yla a\u00e7\u0131ld\u0131. borsa Tokyo.<\/p>\n\n\n\n<p>\u201cBunca y\u0131ld\u0131r geli\u015ftirdi\u011fimiz teknoloji bu y\u00f6nde ilerliyordu. Art\u0131k bir donan\u0131m sistemimiz olmad\u0131\u011f\u0131 i\u00e7in bu hedefi ger\u00e7ekle\u015ftirmemizi sa\u011flayan do\u011fru orta\u011fa sahibiz. Nabtesco&#039;nun DeepSea&#039;yi sat\u0131n alma hedefi hakk\u0131nda konu\u015fan Bay Kyriakopoulos, teknolojilerimizin birle\u015fimi ile mevcut gemileri otonom gemilere d\u00f6n\u00fc\u015ft\u00fcrebildi\u011fimiz gibi sistemlerimizi yeni gemilere de kurabiliyoruz\u201d dedi. DeepSea, navigasyon s\u0131ras\u0131nda ticari gemilerin (tankerler, konteynerler) performans\u0131na ili\u015fkin verilerin - ger\u00e7ek zamanl\u0131 olarak - toplanmas\u0131 yoluyla performanslar\u0131n\u0131 optimize etmek i\u00e7in (yak\u0131t tasarrufu, karbon emisyonlar\u0131n\u0131n azalt\u0131lmas\u0131) modeller olu\u015fturan bir yapay zeka platformu geli\u015ftirmi\u015ftir. hava ko\u015fullar\u0131, ilgili geminin \u00f6zellikleri vb. <\/p>\n\n\n\n<p>Teknolojisi 300&#039;den fazla gemide kullan\u0131l\u0131yor. Bay Koustas, &quot;Asl\u0131nda bu yapay zeka modeliyle, kaptan\u0131n hedefine m\u00fcmk\u00fcn olan en az \u00e7evre kirlili\u011fi ve m\u00fcmk\u00fcn olan en iyi performansla ula\u015fmas\u0131na yard\u0131mc\u0131 oluyoruz&quot;, diye a\u00e7\u0131kl\u0131yor. Buras\u0131, DeepSea ve Nabtesco&#039;nun sistemlerinin, gemiye DeepSea taraf\u0131ndan verilen &quot;komutlar\u0131&quot; (\u00f6rne\u011fin, hava ko\u015fullar\u0131na ba\u011fl\u0131 olarak geminin en uygun h\u0131z\u0131) otomatik hale getirebilecek &quot;birle\u015fti\u011fi&quot; yerdir. Bay Kyriakopoulos, &quot;Geminin \u00f6zerkli\u011fi, daha da fazla yak\u0131t tasarrufu sa\u011flamak i\u00e7in her hareketinin m\u00fcmk\u00fcn olan en iyi \u015fekilde kontrol edilmesine dayanacakt\u0131r&quot; diyor.<\/p>\n\n\n\n<p>\u015eirkete g\u00f6re Singapur, Norve\u00e7, Japonya vb. \u00fclkelerden nakliye \u015firketlerini i\u00e7eren m\u00fc\u015fterileri, tasarruf etmek i\u00e7in DeepSea&#039;n\u0131n teknolojisini kullanabilir. <strong>8%-12% yak\u0131tta<\/strong> ve <strong>\u00e7evresel ayak izlerini azaltmak<\/strong>. Avrupa Birli\u011fi&#039;nin denizcilik sekt\u00f6r\u00fc \u00fczerinde bask\u0131 uygulamas\u0131yla birlikte, deniz ta\u015f\u0131mac\u0131l\u0131\u011f\u0131na bir karbon vergisi getirilmesi tart\u0131\u015f\u0131l\u0131rken, ikincisi \u00e7ok \u00f6nemli kabul ediliyor.<\/p>\n\n\n\n<p>80%&#039;si Yunanistan&#039;da bulunan 90 ki\u015fiden olu\u015fan DeepSea ekibinin \u00f6n\u00fcm\u00fczdeki d\u00f6nemde 110&#039;a \u00e7\u0131kmas\u0131 beklenirken, Atina, Japon \u015firketin faaliyetleri i\u00e7in bir yapay zeka merkezine d\u00f6n\u00fc\u015ft\u00fcr\u00fcl\u00fcyor. Bunlar denizcilik sekt\u00f6r\u00fcyle s\u0131n\u0131rl\u0131 de\u011fil, demiryolu otomasyonu, havac\u0131l\u0131k, r\u00fczgar t\u00fcrbinleri vb.&#039;ni de kaps\u0131yor. &quot;Nabtesco&#039;nun yat\u0131r\u0131m\u0131yla, Yunanistan&#039;da end\u00fcstriyel yapay zeka (end\u00fcstriyel yapay zeka) dedi\u011fimiz teknolojiler geli\u015ftirilecek&quot; diyor Bay Kyriakopoulos. . \u201c\u00d6zerklik ve yapay zeka konusunda istedi\u011fimizi hayata ge\u00e7irmek i\u00e7in uzun vadeli bir eylem plan\u0131m\u0131z var\u201d.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" width=\"850\" height=\"559\" src=\"https:\/\/marine-charts.com\/wp-content\/uploads\/voyage-optimisation-powered-by-AI-deepsea-platform-6-850x559-1.jpg\" alt=\"\" class=\"wp-image-2900\" srcset=\"https:\/\/marine-charts.com\/wp-content\/uploads\/voyage-optimisation-powered-by-AI-deepsea-platform-6-850x559-1.jpg 850w, https:\/\/marine-charts.com\/wp-content\/uploads\/voyage-optimisation-powered-by-AI-deepsea-platform-6-850x559-1-300x197.jpg 300w, https:\/\/marine-charts.com\/wp-content\/uploads\/voyage-optimisation-powered-by-AI-deepsea-platform-6-850x559-1-768x505.jpg 768w, https:\/\/marine-charts.com\/wp-content\/uploads\/voyage-optimisation-powered-by-AI-deepsea-platform-6-850x559-1-18x12.jpg 18w\" sizes=\"(max-width: 850px) 100vw, 850px\" \/><\/figure>\n\n\n\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" width=\"850\" height=\"560\" src=\"https:\/\/marine-charts.com\/wp-content\/uploads\/voyage-optimisation-powered-by-AI-deepsea-platform-2-850x560-1.jpg\" alt=\"\" class=\"wp-image-2901\" srcset=\"https:\/\/marine-charts.com\/wp-content\/uploads\/voyage-optimisation-powered-by-AI-deepsea-platform-2-850x560-1.jpg 850w, https:\/\/marine-charts.com\/wp-content\/uploads\/voyage-optimisation-powered-by-AI-deepsea-platform-2-850x560-1-300x198.jpg 300w, https:\/\/marine-charts.com\/wp-content\/uploads\/voyage-optimisation-powered-by-AI-deepsea-platform-2-850x560-1-768x506.jpg 768w, https:\/\/marine-charts.com\/wp-content\/uploads\/voyage-optimisation-powered-by-AI-deepsea-platform-2-850x560-1-18x12.jpg 18w\" sizes=\"(max-width: 850px) 100vw, 850px\" \/><\/figure>\n\n\n\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" width=\"880\" height=\"540\" src=\"https:\/\/marine-charts.com\/wp-content\/uploads\/voyage-optimisation-powered-by-AI-deepsea-platform-7.jpg\" alt=\"\" class=\"wp-image-2904\" srcset=\"https:\/\/marine-charts.com\/wp-content\/uploads\/voyage-optimisation-powered-by-AI-deepsea-platform-7.jpg 880w, https:\/\/marine-charts.com\/wp-content\/uploads\/voyage-optimisation-powered-by-AI-deepsea-platform-7-300x184.jpg 300w, https:\/\/marine-charts.com\/wp-content\/uploads\/voyage-optimisation-powered-by-AI-deepsea-platform-7-768x471.jpg 768w, https:\/\/marine-charts.com\/wp-content\/uploads\/voyage-optimisation-powered-by-AI-deepsea-platform-7-18x12.jpg 18w\" sizes=\"(max-width: 880px) 100vw, 880px\" \/><\/figure>\n\n\n\n<div style=\"height:55px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h3 class=\"wp-block-heading\"><a href=\"https:\/\/www.deepsea.ai\/wallenius-webinar\/\" target=\"_blank\" rel=\"noreferrer noopener\">Wallenius Wilhelmsen, DeepSea ile tamamen yapay zeka tabanl\u0131 yolculuk planlamas\u0131na ge\u00e7iyor<\/a><\/h3>\n\n\n\n<h4 class=\"wp-block-heading\">Emisyonlar \u00fczerinde ger\u00e7ek bir etki yaratmak \u2013 deniz ta\u015f\u0131mac\u0131l\u0131\u011f\u0131 i\u00e7in yapay zeka \u00e7\u00f6z\u00fcmleri<\/h4>\n\n\n\n<p>(7 Eyl\u00fcl 2022) Wallenius Wilhelmsen oldu <a href=\"https:\/\/www.tradewindsnews.com\/technology\/wallenius-wilhelmsen-claims-a-shipping-first-in-ai\/2-1-1291873\" target=\"_blank\" rel=\"noopener\">sefer optimizasyonuna tamamen yapay zeka tabanl\u0131 bir yakla\u015f\u0131m benimseyen ilk k\u00fcresel nakliye \u015firketi<\/a> 120&#039;den fazla gemiden olu\u015fan t\u00fcm filosunda.<\/p>\n\n\n\n<p><a href=\"https:\/\/www.walleniuswilhelmsen.com\/\" target=\"_blank\" rel=\"noreferrer noopener\">Wallenius Wilhelmsen<\/a> nakliye \u015firketi DeepSea&#039;s&#039;\u0131 piyasaya s\u00fcrd\u00fc <a href=\"https:\/\/deepsea.wpengine.com\/pythia\/\" target=\"_blank\" rel=\"noopener\">Performans Y\u00f6nlendirme yaz\u0131l\u0131m\u0131<\/a>2022 ve 2023&#039;\u00fcn son \u00e7eyre\u011finde gemiye \u00f6zel rota ve h\u0131z planlar\u0131 sunan . DeepSea ile bu \u00e7al\u0131\u015fma, onlarla tan\u0131\u015fmak i\u00e7in \u00f6nemli bir ad\u0131m.<\/p>\n\n\n\n<p><strong>Wallenius Wilhelmsen Deniz Operasyonlar\u0131ndan Sorumlu K\u0131demli Ba\u015fkan Yard\u0131mc\u0131s\u0131 Geir Fagerheim,<\/strong> diyor:<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p><em>&quot;Ka\u00e7 y\u0131ll\u0131k deneyime sahip olursa olsun, hi\u00e7bir insan bu otomatik yelken talimatlar\u0131yla rekabet edemez. Emisyonlar\u0131 azalt\u0131r, yak\u0131t t\u00fcketimini azalt\u0131r ve \u00e7al\u0131\u015fma s\u0131ras\u0131nda g\u00fcvenli\u011fi art\u0131r\u0131r. Bu, yelkenin her alan\u0131nda bir kazan-kazan durumudur.\u201d<\/em><\/p>\n<\/blockquote>\n\n\n\n<p>D\u00fcnya \u00e7ap\u0131nda t\u00fcr\u00fcn\u00fcn ilk \u00f6rne\u011fi olan bu d\u00f6n\u00fcm noktas\u0131 niteli\u011findeki karar, h\u0131zl\u0131 bir \u015fekilde al\u0131nmad\u0131 - ancak 18 ayl\u0131k zorlu ad\u0131m ad\u0131m testlerin ard\u0131ndan al\u0131nd\u0131.<\/p>\n\n\n\n<p>Nihayetinde bu kapsaml\u0131 deneme s\u00fcresinden \u00e7\u0131kan rakamlar \u00f6nemlidir:<\/p>\n\n\n\n<p><strong>Gemi verimlili\u011finde 6,9% iyile\u015fme ve filo genelinde emisyonlarda 170.000 tondan fazla tahmin edilen azalma.<\/strong><\/p>\n\n\n\n<p>Bununla birlikte, bu ortakl\u0131\u011fa yol a\u00e7an 18 ayl\u0131k yo\u011fun i\u015fbirli\u011fi d\u00f6neminden ortaya \u00e7\u0131kan \u00f6nemli dersler de ayn\u0131 derecede \u00f6nemli.<\/p>\n\n\n\n<p>13 Ekim&#039;de Wallenius Wilhelmsen ve DeepSea, bu do\u011frulama d\u00f6nemini \u00e7evrimi\u00e7i olarak tart\u0131\u015fan sanal bir web semineri ger\u00e7ekle\u015ftirdiler ve birlikte gemi yolculu\u011fu optimizasyonu ile karbondan ar\u0131nd\u0131rma konusundaki temel \u00f6\u011frenmelerini tart\u0131\u015ft\u0131lar (<a href=\"https:\/\/www.bigmarker.com\/blue-insight\/DeepSea-Voyage-optimisation-for-decarbonisation-3-vital-learnings-for-success\" target=\"_blank\" rel=\"noreferrer noopener\">Dekarbonizasyon i\u00e7in Yolculuk Optimizasyonu \u2013 \u00e7evrimi\u00e7i web semineri<\/a>).<\/p>\n\n\n\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<iframe title=\"AI veya eski: AI neden art\u0131k nakliye \u015firketleri i\u00e7in &quot;iste\u011fe ba\u011fl\u0131&quot; de\u011fil (Ne Nakliye 2023)\" width=\"500\" height=\"281\" src=\"https:\/\/www.youtube.com\/embed\/JkBBnQNw46U?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe>\n<\/div><figcaption class=\"wp-element-caption\"><a href=\"https:\/\/nor-shipping.com\/programme-2023\/\" target=\"_blank\" rel=\"noreferrer noopener\">Ne Nakliye 2023<\/a>: <a href=\"https:\/\/www.youtube.com\/watch?v=JkBBnQNw46U\" target=\"_blank\" rel=\"noreferrer noopener\">Yapay Zeka, nakliye \u015firketleri i\u00e7in neden art\u0131k iste\u011fe ba\u011fl\u0131 de\u011fil (DeepSea AI)<\/a><\/figcaption><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\"><a href=\"https:\/\/www.deepsea.ai\/the-ten-percent-initiative\/\" target=\"_blank\" rel=\"noreferrer noopener\">10% G\u0130R\u0130\u015e\u0130M\u0130 \u2013 Denizcilik end\u00fcstrisinin lider filolar\u0131 ile C\u039f2 emisyonlar\u0131n\u0131 10% oran\u0131nda azaltmak<\/a><\/h3>\n\n\n\n<figure class=\"wp-block-image size-full\"><a href=\"https:\/\/www.deepsea.ai\/the-ten-percent-initiative\/\" target=\"_blank\" rel=\"noreferrer noopener\"><img decoding=\"async\" width=\"1024\" height=\"535\" src=\"https:\/\/marine-charts.com\/wp-content\/uploads\/DeepSea-The-10-Initiative-1024x535-1.jpg\" alt=\"\" class=\"wp-image-2915\" srcset=\"https:\/\/marine-charts.com\/wp-content\/uploads\/DeepSea-The-10-Initiative-1024x535-1.jpg 1024w, https:\/\/marine-charts.com\/wp-content\/uploads\/DeepSea-The-10-Initiative-1024x535-1-300x157.jpg 300w, https:\/\/marine-charts.com\/wp-content\/uploads\/DeepSea-The-10-Initiative-1024x535-1-768x401.jpg 768w, https:\/\/marine-charts.com\/wp-content\/uploads\/DeepSea-The-10-Initiative-1024x535-1-18x9.jpg 18w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/a><\/figure>\n\n\n\n<p>10% giri\u015fimi nedir? Deniz ara\u00e7lar\u0131n\u0131n enerji maliyetlerini 10% kadar d\u00fc\u015f\u00fcrmeye y\u00f6nelik bir hareket olan bu yakla\u015f\u0131m kan\u0131tlanm\u0131\u015ft\u0131r, uygun maliyetlidir ve 12 ay i\u00e7inde ger\u00e7ekle\u015ftirilebilir. 10% giri\u015fimi, DeepSea ve giri\u015fimin \u00fcyelerinin (EUROSEAS Ltd, EuroDRY Ltd, ETF Partners, Nabtesco) ger\u00e7ek, \u00f6l\u00e7\u00fclebilir ve etkili - herkes i\u00e7in somut faydalar sa\u011flayan - bir \u015fey yapmak i\u00e7in i\u015fbirli\u011fi i\u00e7inde \u00e7al\u0131\u015fma taahh\u00fcd\u00fcd\u00fcr.<\/p>\n\n\n\n<div style=\"height:55px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" width=\"850\" height=\"478\" src=\"https:\/\/marine-charts.com\/wp-content\/uploads\/artificial-intelligence-850x478-1.jpg\" alt=\"\" class=\"wp-image-2908\" srcset=\"https:\/\/marine-charts.com\/wp-content\/uploads\/artificial-intelligence-850x478-1.jpg 850w, https:\/\/marine-charts.com\/wp-content\/uploads\/artificial-intelligence-850x478-1-300x169.jpg 300w, https:\/\/marine-charts.com\/wp-content\/uploads\/artificial-intelligence-850x478-1-768x432.jpg 768w, https:\/\/marine-charts.com\/wp-content\/uploads\/artificial-intelligence-850x478-1-18x10.jpg 18w\" sizes=\"(max-width: 850px) 100vw, 850px\" \/><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\">Deniz ta\u015f\u0131mac\u0131l\u0131\u011f\u0131 sekt\u00f6r\u00fcnde Yapay Zeka kullan\u0131m\u0131na ili\u015fkin makaleler<\/h3>\n\n\n\n<p><a href=\"https:\/\/www.thestack.technology\/wallenius-wilhelmsen-deepsea-shipping-ai-cargo\/\" target=\"_blank\" rel=\"noreferrer noopener\">Wallenius Wilhelmsen Cargo Shipping devi, Yapay Zeka (AI) yolculuk optimizasyon \u00e7\u00f6z\u00fcmlerini test ediyor: &quot;Birden veri taban\u0131m\u0131zda 10.000 veri noktam\u0131z vard\u0131 ve bunu anlamland\u0131rmam\u0131z gerekiyordu.&quot;<\/a> (16 Eyl\u00fcl 2022)<\/p>\n\n\n\n<p>Nakliye \u015firketi Wallenius Wilhelmsen&#039;den (kargo gemileri) Bay Fagerheim, konu yolculuk optimizasyonu oldu\u011funda - yolculuk i\u00e7in en iyi rotay\u0131 ve h\u0131z\u0131 se\u00e7mek - gemilerin kaptanlar\u0131n\u0131n bilin\u00e7li kararlar verecek ara\u00e7lara sahip olmad\u0131\u011f\u0131n\u0131 a\u00e7\u0131kl\u0131yor. Bu nedenle yolculu\u011fun ba\u015f\u0131nda sert ve h\u0131zl\u0131 giderler, \u00e7\u00fcnk\u00fc daha sonraki ko\u015fullar\u0131 tahmin edemezler. Yapay zeka destekli yolculuk optimizasyon platformlar\u0131n\u0131n devreye girdi\u011fi yer buras\u0131d\u0131r.<\/p>\n\n\n\n<p><a href=\"https:\/\/www.offshore-energy.biz\/maritime-industry-to-spend-931-mln-on-ai-solutions-in-2022\/\" target=\"_blank\" rel=\"noreferrer noopener\">Lloyd&#039;s Register taraf\u0131ndan Thetius ile i\u015fbirli\u011fi i\u00e7inde yay\u0131nlanan yak\u0131n tarihli bir rapora g\u00f6re, denizcilik end\u00fcstrisinin 2022&#039;de yapay zeka (AI) \u00e7\u00f6z\u00fcmlerine $931 milyon harcayaca\u011f\u0131 tahmin ediliyor. <\/a><\/p>\n\n\n\n<p>Denizcilik end\u00fcstrisinde AI \u00e7\u00f6z\u00fcmlerinin benimsenmesi yeni bir a\u015famadad\u0131r, ancak Yapay Zeka, filo verimlili\u011fini optimize etmede de\u011feri ortaya \u00e7\u0131karmak i\u00e7in muazzam bir potansiyele sahiptir. Yolculuk optimizasyonu i\u00e7in yapay zeka teknolojisi, \u00f6ncelikle gemi yak\u0131t t\u00fcketimini azaltmaya odaklan\u0131r, bu da CO2 emisyonlar\u0131n\u0131n ve i\u015fletme maliyetlerinin azalmas\u0131na neden olur. Lloyd&#039;s Register&#039;\u0131n Denizcilik Performans\u0131 Hizmetleri, gemi optimizasyonu i\u00e7in yapay zeka kullan\u0131m\u0131nda ve nihai olarak gemi performans\u0131n\u0131n iyile\u015ftirilmesine yard\u0131mc\u0131 olma konusunda geni\u015f bir deneyim geli\u015ftirmi\u015ftir. Geleneksel ve eski veri analiti\u011fi yaln\u0131zca 10% gemi verisine bakar, oysa AI modelleri art\u0131k 100%&#039;ye yak\u0131n gemi verisine bakabilir ve bu verileri an\u0131nda i\u015fleyerek yak\u0131t t\u00fcketimi, h\u0131z, trim, g\u00f6vde kirlenmesi ve g\u00fc\u00e7 hakk\u0131nda son derece do\u011fru gemi performans\u0131 i\u00e7g\u00f6r\u00fcleri olu\u015fturmak i\u00e7in an\u0131nda i\u015fleyebilir t\u00fcketimi,\u201d (Andy McKeran, Denizcilik Performans Hizmetleri Direkt\u00f6r\u00fc, Lloyd&#039;s Register). Deniz ta\u015f\u0131mac\u0131l\u0131\u011f\u0131 end\u00fcstrisinde Yapay Zeka Yapay Zeka \u00e7\u00f6z\u00fcmlerine yap\u0131lan harcaman\u0131n \u00f6n\u00fcm\u00fczdeki be\u015f y\u0131lda iki kattan fazla artarak 2027&#039;ye kadar $2,7 milyara ula\u015fmas\u0131 ve y\u0131ll\u0131k 23% bile\u015fik b\u00fcy\u00fcme oran\u0131 bekleniyor.<\/p>\n\n\n\n<p><a href=\"https:\/\/www.wartsila.com\/insights\/article\/machine-learning-the-next-maritime-frontier\" target=\"_blank\" rel=\"noreferrer noopener\">Makine \u00f6\u011frenimi: Bir sonraki deniz s\u0131n\u0131r\u0131 m\u0131?<\/a><\/p>\n\n\n\n<p>Otomasyonun benimsenmesiyle birlikte y\u00fcksek performansl\u0131 bilgi i\u015flem i\u00e7in verilerin kullan\u0131labilirli\u011fi artt\u0131k\u00e7a, W\u00e4rtsil\u00e4 Voyage yapay zeka ve makine \u00f6\u011freniminin takip edilmesi gereken teknolojiler oldu\u011funa inan\u0131yor.<\/p>\n\n\n\n<p><a href=\"https:\/\/smartshiphub.com\/highlights\/four-ways-in-which-maritime-industry-is-investing-in-ai-for-performance-management\/\" target=\"_blank\" rel=\"noreferrer noopener\">Denizcilik Sekt\u00f6r\u00fcn\u00fcn performans y\u00f6netimi i\u00e7in yapay zekaya yat\u0131r\u0131m yapt\u0131\u011f\u0131 d\u00f6rt yol<\/a><\/p>\n\n\n\n<p>Yapay Zeka, Nesnelerin \u0130nterneti, \u0130\u015f Zekas\u0131, Veri Analiti\u011fi, nakliyenin \u00e7al\u0131\u015fma \u015feklini de\u011fi\u015ftiriyor ve ayn\u0131 zamanda maliyetleri d\u00fc\u015f\u00fcr\u00fcyor ve insan hayat\u0131na y\u00f6nelik riskleri azalt\u0131yor. \u00d6nde gelen denizcilik \u015firketleri, gemilerinin performans\u0131 hakk\u0131nda daha fazla bilgi edinmek i\u00e7in yapay zeka destekli teknolojiler kullan\u0131rken, hem yerle\u015fik \u015firketler hem de yeni kurulan \u015firketler yapay zekan\u0131n s\u0131n\u0131rlar\u0131n\u0131 zorlaman\u0131n yeni yollar\u0131n\u0131 buluyor.<\/p>\n\n\n\n<p><a href=\"https:\/\/seanews.co.uk\/shipping-news\/artificial-intelligence-and-the-era-of-autonomous-shipping\/\" target=\"_blank\" rel=\"noreferrer noopener\">Yapay Zeka ve Otonom Denizcilik \u00c7a\u011f\u0131<\/a><\/p>\n\n\n\n<p>D\u00fcnya, bir ula\u015f\u0131m end\u00fcstrisi temelinde k\u00fcresel ticaret yoluyla birbirine ba\u011fl\u0131d\u0131r. Ve 2030&#039;a do\u011fru deniz ticaretinde tahmin edilen yakla\u015f\u0131k \u00fc\u00e7te birlik art\u0131\u015fla ve tahmin d\u00f6nemi boyunca ton-kilometrede 74.000 milyara varan art\u0131\u015flarla b\u00fcy\u00fcmeye devam edecek.<\/p>\n\n\n\n<p>Ba\u015fka bir deyi\u015fle, okyanus trafi\u011finde \u00f6nemli art\u0131\u015flar ya\u015fayacak, bas\u0131n\u00e7 \u00e7ok daha y\u00fcksek olacak ve deniz kazalar\u0131 ve denizde olay riski devam edecektir. Kabaca 90% deniz zayiat\u0131n\u0131n ve insan hatalar\u0131ndan kaynaklanan olay\u0131n, deniz sorumluluk sigortas\u0131 taleplerinde 1,4 milyar Euro&#039;nun \u00fczerinde bir maliyete sahip oldu\u011fu tahmin edilmektedir.<\/p>\n\n\n\n<p>Bu asl\u0131nda i\u015fletmeleri, insan hatalar\u0131n\u0131 ortadan kald\u0131rarak \u00fcretkenli\u011fi, verimlili\u011fi ve g\u00fcvenli\u011fi iyile\u015ftirmeye y\u00f6nelik nihai \u00e7\u00f6z\u00fcm olarak d\u00f6n\u00fc\u015f\u00fcmsel Yapay Zeka (AI) teknolojileri ve makine \u00f6\u011frenimi ile desteklenen otomasyona yat\u0131r\u0131m yapmaya te\u015fvik etti.<\/p>\n\n\n\n<p>\u0130statistikler, AI&#039;n\u0131n nakliye ve lojistik end\u00fcstrisi performans\u0131n\u0131 neredeyse 90% art\u0131rma yetene\u011fine sahip oldu\u011funu ve potansiyel olarak end\u00fcstrinin y\u0131ll\u0131k gelirini 0,45 trilyon Euro&#039;ya kadar art\u0131rabilece\u011fini g\u00f6stermi\u015ftir.<\/p>\n\n\n\n<p>\u201cOtonom denizcilik, denizcilik end\u00fcstrisinin gelece\u011fidir. Ak\u0131ll\u0131 telefon kadar y\u0131k\u0131c\u0131 olan ak\u0131ll\u0131 gemi, gemi tasar\u0131m\u0131 ve operasyonlar\u0131 alan\u0131nda devrim yaratacak\u201d<\/p>\n\n\n\n<p>Mikael M\u00e4kinen, Ba\u015fkan, Rolls-Royce Plc.<\/p>\n\n\n\n<p><a href=\"https:\/\/maritime.digital\/insights\/f\/ai-driven-voyage-optimisation-tool-offers-step-change-for-sector\" target=\"_blank\" rel=\"noreferrer noopener\">Yapay Zeka G\u00fcd\u00fcml\u00fc Sefer Optimizasyonu Yapay Zeka Ara\u00e7lar\u0131, deniz ta\u015f\u0131mac\u0131l\u0131\u011f\u0131 navigasyon sekt\u00f6r\u00fc i\u00e7in Ad\u0131m De\u011fi\u015fimi Sunuyor<\/a><\/p>\n\n\n\n<p>Deniz ta\u015f\u0131mac\u0131l\u0131\u011f\u0131 sekt\u00f6r\u00fc, Ba\u015flang\u0131\u00e7 ile uyumlu olarak karbon yak\u0131t emisyonlar\u0131n\u0131 azaltman\u0131n yollar\u0131n\u0131 bulmak i\u00e7in \u00e7ok \u00e7al\u0131\u015f\u0131yor. <strong>IMO sera gaz\u0131 stratejisi<\/strong> ve <strong>Denizcilik 2050 g\u00fcndemi<\/strong> \u00f6zerkli\u011fe ve gelecekteki yak\u0131tlara yo\u011fun bir odaklanma ile. Ancak bask\u0131n\u0131n ard\u0131ndan artmaya devam ettik\u00e7e <strong>COP26<\/strong> mevcut gemi filolar\u0131nda azalma potansiyelini ortaya \u00e7\u0131karan \u00e7\u00f6z\u00fcmler zorunludur.<\/p>\n\n\n\n<p><a href=\"https:\/\/safety4sea.com\/cm-a-brief-introduction-to-ai-and-its-applications-in-the-maritime-industry\/\" target=\"_blank\" rel=\"noreferrer noopener\">AI (Yapay Zeka) ve denizcilik end\u00fcstrisindeki uygulamalar\u0131na k\u0131sa bir giri\u015f<\/a><\/p>\n\n\n\n<p>2023 SMART4SEA Atina Forumu s\u0131ras\u0131nda, Bay Themistoklis Sardis (Costamare Shipping Company SA&#039;da BT M\u00fcd\u00fcr\u00fc), kargo elle\u00e7leme ve y\u00f6netiminin otomasyonu, rotalar\u0131n ve lojisti\u011fin optimizasyonu ve gemiler ve di\u011fer ekipmanlar.<\/p>\n\n\n\n<p><a href=\"https:\/\/www.mitags.org\/ai-impact-maritime-industry\/\" target=\"_blank\" rel=\"noreferrer noopener\">Yapay Zeka Denizcilik End\u00fcstrisini nas\u0131l de\u011fi\u015ftiriyor? Yapay Zeka Deniz Ta\u015f\u0131mac\u0131l\u0131\u011f\u0131 Sekt\u00f6r\u00fcnde Nas\u0131l Kullan\u0131l\u0131r ve Fayda Sa\u011flar!<\/a><\/p>\n\n\n\n<p>Bir\u00e7ok sekt\u00f6r operasyonlar\u0131 kolayla\u015ft\u0131rmak ve de\u011ferli i\u00e7g\u00f6r\u00fcler elde etmek i\u00e7in yapay zekadan yararlan\u0131p bunlar\u0131 kullan\u0131rken, her birinin benzersiz uygulamalar\u0131 vard\u0131r. Denizcilik end\u00fcstrisinin yapay zekay\u0131 ve makine \u00f6\u011frenimini nas\u0131l uyarlad\u0131\u011f\u0131n\u0131 anlamak, sizi bu ekipman\u0131n yan\u0131nda su \u00fczerinde \u00e7al\u0131\u015fmaya daha iyi haz\u0131rlayabilir.<\/p>\n\n\n\n<p><a href=\"https:\/\/www.ship-technology.com\/buyers-guide\/ai-companies-shipping-industry\/\" target=\"_blank\" rel=\"noreferrer noopener\">\u00dccretsiz Sat\u0131n Alma Rehberi \u2013 Denizcilik sekt\u00f6r\u00fc i\u00e7in \u00f6nde gelen yapay zeka (AI) \u015firketleri<\/a><\/p>\n\n\n\n<p>Sat\u0131n alma karar\u0131n\u0131z\u0131 bildirmek i\u00e7in Shipping AI \u00e7\u00f6z\u00fcmleri \u00fcreticileri ve tedarik\u00e7ileri ve bunlar\u0131n gemi rotas\u0131 optimizasyonu ve planlama \u00fcr\u00fcnleri hakk\u0131nda ayr\u0131nt\u0131l\u0131 bilgileri ve ileti\u015fim bilgilerini i\u00e7eren \u00fccretsiz bir belge (sat\u0131n alma k\u0131lavuzu).<\/p>\n\n\n\n<p><a href=\"https:\/\/shipin.ai\/resources\/shipping-4-0-the-future-of-the-maritime-industry\/\" target=\"_blank\" rel=\"noreferrer noopener\">Shipping 4.0 : Denizcilik End\u00fcstrisinin Gelece\u011fi<\/a><\/p>\n\n\n\n<p>Buhar. Elektrik. \u0130nternet. Bu \u00fc\u00e7 sanayi devrimi, d\u00fcnyan\u0131n i\u015fleyi\u015fine dair her \u015feyi de\u011fi\u015ftirdi. Bug\u00fcn, d\u00f6rd\u00fcnc\u00fc sanayi devriminin ortas\u0131nday\u0131z: Yapay zeka (AI). Deniz ta\u015f\u0131mac\u0131l\u0131\u011f\u0131n\u0131n geleneksel, &quot;eski moda&quot; bir modelde i\u015fledi\u011fine dair yayg\u0131n inan\u0131\u015f\u0131n aksine, bu otomasyon g\u00fcd\u00fcml\u00fc sanayi devriminin bir par\u00e7as\u0131 olarak at\u0131lan yeni ad\u0131mlar, yeni yenilik ve de\u011fi\u015fim kal\u0131plar\u0131 yaratt\u0131. Bu Sevkiyat 4.0.<\/p>\n\n\n\n<div style=\"height:55px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h2 class=\"wp-block-heading\">KONU \u0130LE \u0130LG\u0130L\u0130 KAYNAKLAR: <strong>Yapay zeka<\/strong><\/h2>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p><a href=\"https:\/\/www.ibm.com\/topics\/artificial-intelligence\" target=\"_blank\" rel=\"noreferrer noopener\">Yapay Zeka (AI) Nedir?<\/a> Yapay zeka <strong>insan zihninin problem \u00e7\u00f6zme ve karar verme yeteneklerini taklit etmek i\u00e7in bilgisayarlardan ve makinelerden yararlan\u0131r<\/strong>. (IBM)<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p>Yapay zeka, insan veya hayvan zekas\u0131n\u0131n aksine, makine veya yaz\u0131l\u0131m zekas\u0131d\u0131r. <a href=\"https:\/\/en.wikipedia.org\/wiki\/Artificial_intelligence\" target=\"_blank\" rel=\"noreferrer noopener\">(Yapay Zeka \u2013 Wikipedia)<\/a><\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p>Yapay zeka, bir bilgisayar\u0131n veya bilgisayar kontroll\u00fc bir robotun, genellikle ak\u0131ll\u0131 varl\u0131klarla ili\u015fkilendirilen g\u00f6revleri ger\u00e7ekle\u015ftirme yetene\u011fi. (<a href=\"https:\/\/www.britannica.com\/technology\/artificial-intelligence\" target=\"_blank\" rel=\"noreferrer noopener\">Yapay zeka (AI): Tan\u0131m, \u00d6rnekler, T\u00fcrler \u2013 Britannica<\/a>)<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p><strong>Yapay zeka (AI) nedir?<\/strong><\/p>\n\n\n\n<p>Yapay zeka, insan zekas\u0131 s\u00fcre\u00e7lerinin makineler, \u00f6zellikle bilgisayar sistemleri taraf\u0131ndan sim\u00fclasyonudur. Yapay zekan\u0131n \u00f6zel uygulamalar\u0131 aras\u0131nda uzman sistemler, do\u011fal dil i\u015fleme, konu\u015fma tan\u0131ma ve makine g\u00f6r\u00fc\u015f\u00fc bulunur.<\/p>\n\n\n\n<p><strong>AI nas\u0131l \u00e7al\u0131\u015f\u0131r?<\/strong><\/p>\n\n\n\n<p>Yapay zeka etraf\u0131ndaki yutturmaca h\u0131zland\u0131k\u00e7a, sat\u0131c\u0131lar \u00fcr\u00fcn ve hizmetlerinin onu nas\u0131l kulland\u0131\u011f\u0131n\u0131 tan\u0131tmak i\u00e7in \u00e7abal\u0131yorlar. Genellikle yapay zeka olarak adland\u0131rd\u0131klar\u0131 \u015fey, makine \u00f6\u011frenimi gibi basit\u00e7e teknolojinin bir bile\u015fenidir. Yapay zeka, makine \u00f6\u011frenimi algoritmalar\u0131n\u0131 yazmak ve e\u011fitmek i\u00e7in \u00f6zel bir donan\u0131m ve yaz\u0131l\u0131m temeli gerektirir. Tek bir programlama dili yapay zeka ile e\u015fanlaml\u0131 de\u011fildir, ancak Python, R, Java, C++ ve Julia, yapay zeka geli\u015ftiricileri aras\u0131nda pop\u00fcler olan \u00f6zelliklere sahiptir. (<a href=\"https:\/\/www.techtarget.com\/searchenterpriseai\/definition\/AI-Artificial-Intelligence\" target=\"_blank\" rel=\"noreferrer noopener\">Yapay Zeka Nedir ve Yapay Zeka Nas\u0131l \u00c7al\u0131\u015f\u0131r \u2013 TechTarget<\/a>)<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p><strong>Yapay Zeka, Makine \u00d6\u011frenimi ve Derin \u00d6\u011frenme aras\u0131ndaki farklar<\/strong><\/p>\n\n\n\n<p><strong>AI<\/strong>, <strong>makine \u00f6\u011frenme<\/strong> ve <strong>derin \u00f6\u011frenme<\/strong> kurumsal BT&#039;de s\u0131k kullan\u0131lan terimlerdir ve bazen, \u00f6zellikle \u015firketler taraf\u0131ndan pazarlama materyallerinde birbirinin yerine kullan\u0131l\u0131r. Ancak farkl\u0131l\u0131klar vard\u0131r (daha fazla bilgi i\u00e7in: <strong><a href=\"https:\/\/www.techtarget.com\/searchenterpriseai\/tip\/AI-vs-machine-learning-vs-deep-learning-Key-differences\" target=\"_blank\" rel=\"noreferrer noopener\">AI, makine \u00f6\u011frenimi ve derin \u00f6\u011frenme kar\u015f\u0131la\u015ft\u0131rmas\u0131: \u00d6nemli farkl\u0131l\u0131klar<\/a><\/strong> (techtarget.com)<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" width=\"580\" height=\"580\" src=\"https:\/\/marine-charts.com\/wp-content\/uploads\/Differences-between-AI-Machine-Learning-and-Deep-Learning-580x580-1.png\" alt=\"Yapay Zeka, Makine \u00d6\u011frenimi ve Derin \u00d6\u011frenme aras\u0131ndaki farklar\" class=\"wp-image-2869\" srcset=\"https:\/\/marine-charts.com\/wp-content\/uploads\/Differences-between-AI-Machine-Learning-and-Deep-Learning-580x580-1.png 580w, https:\/\/marine-charts.com\/wp-content\/uploads\/Differences-between-AI-Machine-Learning-and-Deep-Learning-580x580-1-300x300.png 300w, https:\/\/marine-charts.com\/wp-content\/uploads\/Differences-between-AI-Machine-Learning-and-Deep-Learning-580x580-1-150x150.png 150w, https:\/\/marine-charts.com\/wp-content\/uploads\/Differences-between-AI-Machine-Learning-and-Deep-Learning-580x580-1-12x12.png 12w\" sizes=\"(max-width: 580px) 100vw, 580px\" \/><figcaption class=\"wp-element-caption\">Yapay Zeka, Makine \u00d6\u011frenimi ve Derin \u00d6\u011frenme aras\u0131ndaki farklar<\/figcaption><\/figure>\n\n\n\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" width=\"580\" height=\"580\" src=\"https:\/\/marine-charts.com\/wp-content\/uploads\/Types-of-AI-Artificial-Intelligence-580x580-1.png\" alt=\"AI Yapay Zeka T\u00fcrleri\" class=\"wp-image-2870\" srcset=\"https:\/\/marine-charts.com\/wp-content\/uploads\/Types-of-AI-Artificial-Intelligence-580x580-1.png 580w, https:\/\/marine-charts.com\/wp-content\/uploads\/Types-of-AI-Artificial-Intelligence-580x580-1-300x300.png 300w, https:\/\/marine-charts.com\/wp-content\/uploads\/Types-of-AI-Artificial-Intelligence-580x580-1-150x150.png 150w, https:\/\/marine-charts.com\/wp-content\/uploads\/Types-of-AI-Artificial-Intelligence-580x580-1-12x12.png 12w\" sizes=\"(max-width: 580px) 100vw, 580px\" \/><figcaption class=\"wp-element-caption\">AI Yapay Zeka T\u00fcrleri<\/figcaption><\/figure>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p><strong>4 t\u00fcr AI zekas\u0131 nelerdir?<\/strong><\/p>\n\n\n\n<p>Bu yapay zeka t\u00fcrlerinden baz\u0131lar\u0131 \u015fu anda bilimsel olarak bile m\u00fcmk\u00fcn de\u011fil. Mevcut s\u0131n\u0131fland\u0131rma sistemine g\u00f6re, <strong>d\u00f6rt birincil<\/strong> AI t\u00fcrleri: <strong>tepkisel, s\u0131n\u0131rl\u0131 haf\u0131za, zihin kuram\u0131 ve kendini tan\u0131ma<\/strong>. (Kaynak: <a href=\"https:\/\/bernardmarr.com\/understanding-the-4-types-of-artificial-intelligence\/\" target=\"_blank\" rel=\"noreferrer noopener\">4 Yapay Zeka T\u00fcr\u00fcn\u00fc Anlamak<\/a> \u2013 <strong>bernardmarr.com<\/strong> )<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p><a href=\"https:\/\/www.zdnet.com\/article\/what-is-ai-heres-everything-you-need-to-know-about-artificial-intelligence\/\" target=\"_blank\" rel=\"noreferrer noopener\">AI nedir? Yapay zekan\u0131n b\u00fcy\u00fcleyici ve h\u0131zla geli\u015fen teknolojileri olan yapay zeka hakk\u0131nda bilinmesi gereken her \u015fey<\/a> \u2013 ZDnet.com<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p><a href=\"https:\/\/www.oracle.com\/artificial-intelligence\/what-is-ai\/\" target=\"_blank\" rel=\"noreferrer noopener\">AI Nedir? Yapay Zeka Hakk\u0131nda Bilgi Edinin<\/a> \u2013 Oracle.com taraf\u0131ndan AI hakk\u0131nda \u00e7ok kapsaml\u0131 bir makale<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" width=\"720\" height=\"405\" src=\"https:\/\/marine-charts.com\/wp-content\/uploads\/AI-Artificial-Intelligence-Machine-Learning-Deep-Learning.webp\" alt=\"\" class=\"wp-image-2888\" srcset=\"https:\/\/marine-charts.com\/wp-content\/uploads\/AI-Artificial-Intelligence-Machine-Learning-Deep-Learning.webp 720w, https:\/\/marine-charts.com\/wp-content\/uploads\/AI-Artificial-Intelligence-Machine-Learning-Deep-Learning-300x169.webp 300w, https:\/\/marine-charts.com\/wp-content\/uploads\/AI-Artificial-Intelligence-Machine-Learning-Deep-Learning-18x10.webp 18w\" sizes=\"(max-width: 720px) 100vw, 720px\" \/><\/figure>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p><a href=\"https:\/\/community.nasscom.in\/communities\/ai\/exploring-advantages-and-disadvantages-artificial-intelligence-todays-world\" target=\"_blank\" rel=\"noreferrer noopener\">Yapay Zeka Kullan\u0131m\u0131n\u0131n Avantajlar\u0131 ve Dezavantajlar\u0131<\/a><\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><a href=\"https:\/\/community.nasscom.in\/communities\/ai\/exploring-advantages-and-disadvantages-artificial-intelligence-todays-world\" target=\"_blank\" rel=\"noreferrer noopener\"><img decoding=\"async\" width=\"600\" height=\"522\" src=\"https:\/\/marine-charts.com\/wp-content\/uploads\/Advantages-and-Disadvantages-on-the-use-of-Artificial-Intelligence.jpg\" alt=\"Yapay Zeka Kullan\u0131m\u0131n\u0131n Avantajlar\u0131 ve Dezavantajlar\u0131\" class=\"wp-image-2873\" srcset=\"https:\/\/marine-charts.com\/wp-content\/uploads\/Advantages-and-Disadvantages-on-the-use-of-Artificial-Intelligence.jpg 600w, https:\/\/marine-charts.com\/wp-content\/uploads\/Advantages-and-Disadvantages-on-the-use-of-Artificial-Intelligence-300x261.jpg 300w, https:\/\/marine-charts.com\/wp-content\/uploads\/Advantages-and-Disadvantages-on-the-use-of-Artificial-Intelligence-14x12.jpg 14w\" sizes=\"(max-width: 600px) 100vw, 600px\" \/><\/a><figcaption class=\"wp-element-caption\">Yapay Zeka Kullan\u0131m\u0131n\u0131n Avantajlar\u0131 ve Dezavantajlar\u0131<\/figcaption><\/figure>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p><strong>Yapay Zeka (AI) Nedir? <\/strong>(bir AI uygulamas\u0131n\u0131n kendisine g\u00f6re \ud83d\ude42 \u2026 <strong>ChatGPT<\/strong>)<\/p>\n\n\n\n<p><strong>Yapay Zeka (AI) <\/strong>tipik olarak insan zekas\u0131 gerektiren g\u00f6revleri yerine getirebilen makinelerde insan zekas\u0131n\u0131n sim\u00fclasyonunu ifade eder. Bu g\u00f6revler, \u00f6\u011frenme, ak\u0131l y\u00fcr\u00fctme, problem \u00e7\u00f6zme, alg\u0131lama, dili anlama ve hatta karar verme gibi \u015feyleri i\u00e7erir.<\/p>\n\n\n\n<p>AI sistemleri, verileri analiz etmek, kal\u0131plar\u0131 tan\u0131mak ve bu verilere dayal\u0131 olarak bilin\u00e7li kararlar veya tahminler yapmak i\u00e7in tasarlanm\u0131\u015ft\u0131r. Yinelemeli \u00f6\u011frenme s\u00fcre\u00e7leri yoluyla performanslar\u0131n\u0131 zaman i\u00e7inde geli\u015ftirmek i\u00e7in e\u011fitilebilirler. AI teknolojileri genel olarak iki kategoriye ayr\u0131l\u0131r: Dar veya Zay\u0131f AI ve Genel veya G\u00fc\u00e7l\u00fc AI.<\/p>\n\n\n\n<p><strong>Dar veya Zay\u0131f AI: <\/strong>Bu yapay zeka t\u00fcr\u00fc, belirli bir g\u00f6rev veya dar bir g\u00f6rev yelpazesi i\u00e7in tasarlanm\u0131\u015f ve e\u011fitilmi\u015ftir. Bu g\u00f6revleri yerine getirmede \u00e7ok ba\u015far\u0131l\u0131d\u0131r, genellikle insan yeteneklerini a\u015far, ancak \u00f6nceden tan\u0131mlanm\u0131\u015f kapsam\u0131 d\u0131\u015f\u0131ndaki g\u00f6revleri anlama veya ger\u00e7ekle\u015ftirme yetene\u011finden yoksundur. Dar AI \u00f6rnekleri aras\u0131nda Siri veya Alexa gibi sesli asistanlar, g\u00f6r\u00fcnt\u00fc tan\u0131ma sistemleri ve ak\u0131\u015f hizmetleri taraf\u0131ndan kullan\u0131lan \u00f6neri algoritmalar\u0131 yer al\u0131r.<\/p>\n\n\n\n<p><strong>Genel veya G\u00fc\u00e7l\u00fc AI:<\/strong> Genel AI, bir insan gibi \u00e7ok \u00e7e\u015fitli g\u00f6revlerde bilgiyi anlama, \u00f6\u011frenme ve uygulama yetene\u011fine sahip bir yapay zeka seviyesini ifade eder. \u0130nsan benzeri bili\u015fsel yeteneklere sahip olacak ve potansiyel olarak bir insan\u0131n yapabilece\u011fi herhangi bir entelekt\u00fcel g\u00f6revi yerine getirebilecektir. Genel AI bu noktada b\u00fcy\u00fck \u00f6l\u00e7\u00fcde teorik kal\u0131r ve elde edilmemi\u015ftir.<\/p>\n\n\n\n<p>AI sistemleri ayr\u0131ca makine \u00f6\u011frenimi ve derin \u00f6\u011frenme olarak kategorize edilebilir:<\/p>\n\n\n\n<p><strong>Makine \u00f6\u011frenme:<\/strong> Verilerden kal\u0131plar \u00f6\u011frenmek ve bu verilere dayal\u0131 olarak tahminler veya kararlar almak i\u00e7in e\u011fitim algoritmalar\u0131 i\u00e7eren bir yapay zeka alt k\u00fcmesidir. Makine \u00f6\u011frenimi t\u00fcrleri aras\u0131nda denetimli \u00f6\u011frenme (etiketli verilerle e\u011fitim), denetimsiz \u00f6\u011frenme (etiketlenmemi\u015f verilerde kal\u0131p bulma) ve peki\u015ftirmeli \u00f6\u011frenme (deneme yan\u0131lma yoluyla \u00f6\u011frenme) yer al\u0131r.<\/p>\n\n\n\n<p><strong>Derin \u00d6\u011frenme:<\/strong> Bu, verilerdeki karma\u015f\u0131k kal\u0131plar\u0131 ve ili\u015fkileri modellemek ve i\u015flemek i\u00e7in yapay sinir a\u011flar\u0131n\u0131 kullanan makine \u00f6\u011freniminin bir alt k\u00fcmesidir. Derin \u00f6\u011frenme, \u00f6zellikle g\u00f6r\u00fcnt\u00fc ve konu\u015fma tan\u0131ma gibi g\u00f6revlerde ba\u015far\u0131l\u0131 olmu\u015ftur.<\/p>\n\n\n\n<p>AI, sa\u011fl\u0131k, finans, ula\u015f\u0131m, e\u011flence ve daha fazlas\u0131 dahil olmak \u00fczere \u00e7e\u015fitli sekt\u00f6rlerde \u00e7ok \u00e7e\u015fitli uygulamalara sahiptir. H\u0131zla ilerlemeye devam ediyor ve ya\u015fama ve \u00e7al\u0131\u015fma \u015feklimizde devrim yaratma potansiyeline sahip, ancak yapay zeka teknolojisi ilerledik\u00e7e etik hususlar ve potansiyel zorluklar\u0131n da dikkatle ele al\u0131nmas\u0131 gerekiyor.<\/p>","protected":false},"excerpt":{"rendered":"<p>DEEPSEA: next-generation voyage optimisation powered by Artificial Intelligence (AI) Use Artificial Intelligence (AI) Performance Routing to instantly accelerate your fleet\u2019s decarbonisation trajectory, and decrease fuel costs. Performance Routing will make a major, quantifiable impact on your fleet\u2019s fuel consumption and CII today, high\u2013impact results from day one. \u201cDeepSea Vessel Voyage Optimisation AI Solution reduces emissions, [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":2845,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[242,45,241],"tags":[246,244,245,79,36,175,38,243,37],"class_list":["post-2804","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-voyage-optimisation","category-marine-navigation","category-voyage-planning","tag-ai-artificial-intelligence","tag-ai","tag-artificial-intelligence","tag-ecology","tag-maritime-navigation","tag-maritime-shipping","tag-passage-planning","tag-voyage-optimisation","tag-voyage-planning"],"_links":{"self":[{"href":"https:\/\/marine-charts.com\/tr\/wp-json\/wp\/v2\/posts\/2804","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/marine-charts.com\/tr\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/marine-charts.com\/tr\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/marine-charts.com\/tr\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/marine-charts.com\/tr\/wp-json\/wp\/v2\/comments?post=2804"}],"version-history":[{"count":0,"href":"https:\/\/marine-charts.com\/tr\/wp-json\/wp\/v2\/posts\/2804\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/marine-charts.com\/tr\/wp-json\/wp\/v2\/media\/2845"}],"wp:attachment":[{"href":"https:\/\/marine-charts.com\/tr\/wp-json\/wp\/v2\/media?parent=2804"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/marine-charts.com\/tr\/wp-json\/wp\/v2\/categories?post=2804"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/marine-charts.com\/tr\/wp-json\/wp\/v2\/tags?post=2804"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}