{"id":30350,"date":"2022-09-16T16:45:28","date_gmt":"2022-09-16T13:45:28","guid":{"rendered":"https:\/\/www.revolvia.com\/?post_type=mmg_articles&p=30350"},"modified":"2022-09-16T16:45:28","modified_gmt":"2022-09-16T13:45:28","slug":"google-maddenin-nasil-koktugunu-bilen-yapay-zeka-gelistirdi","status":"publish","type":"mmg_articles","link":"https:\/\/www.revolvia.com\/en\/mmg-article\/google-maddenin-nasil-koktugunu-bilen-yapay-zeka-gelistirdi\/","title":{"rendered":"Google, maddenin nas\u0131l koktu\u011funu bilen yapay zeka geli\u015ftirdi"},"content":{"rendered":"\n

<\/a><\/p>\n\n\n\n

Bilim insanlar\u0131 bu sayede yapay zekan\u0131n gelecekte yeni kokular ve yeni tatlar \u00fcretmek i\u00e7in kullan\u0131labilece\u011fini d\u00fc\u015f\u00fcn\u00fcyor.<\/p>\n\n\n\n

\u0130nsan burnu taraf\u0131ndan alg\u0131lanan geni\u015f koku aral\u0131\u011f\u0131n\u0131n haritas\u0131n\u0131 \u00e7\u0131karmak son derece zor.<\/p>\n\n\n\n

Independent T\u00fcrk\u00e7e’deki habere g\u00f6re ara\u015ft\u0131rmac\u0131lar bu nedenle yapay zekayla ilgili son geli\u015fmeyi \u00f6nemli bir at\u0131l\u0131m olarak de\u011ferlendiriyor. Zira ekip, geli\u015ftirdikleri yapay zeka arac\u0131n\u0131n “biyolojinin temel ilkelerini yakalad\u0131\u011f\u0131n\u0131” ifade ediyor.<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

Ara\u00e7, belirli molek\u00fcllerin \u00f6zg\u00fcn kokular\u0131n\u0131 \u00f6\u011frenmek i\u00e7in bir “koku haritas\u0131” kullan\u0131yor. Haritada benzer kokular\u0131 temsil eden molek\u00fcller birbirine yak\u0131n konumda yer al\u0131yor. Bu harita bir maddenin nas\u0131l koktu\u011funu insanlar onu daha koklamadan tahmin etmek i\u00e7in kullan\u0131l\u0131yor.<\/p>\n\n\n\n

Google ekibi, yapay zeka sinir a\u011f\u0131n\u0131 5 binden fazla molek\u00fcl\u00fcn tat ve kokusuna dair veri k\u00fcmelerini kullanarak e\u011fitti. Bunun sonucunda \u00e7\u0131kar\u0131lan haritaya “Ana Koku Haritas\u0131” ad\u0131 verildi.<\/p>\n\n\n\n

\u00d6nceki g\u00fcnlerde internet sitesi bioRxiv’de yay\u0131nlanan bir makalede ara\u015ft\u0131rmac\u0131lar, Ana Koku Haritas\u0131’yla yapt\u0131klar\u0131 deneyleri \u00f6zetledi. Yapay zeka tahminlerinin do\u011frulu\u011funu tespit etmek isteyen ekip, ilk 15 kat\u0131l\u0131mc\u0131dan 320 molek\u00fcl\u00fcn kokusunu tan\u0131mlamas\u0131n\u0131 istemi\u015fti.<\/p>\n\n\n\n

\"Google,<\/figure>\n\n\n\n

\u0130nsan kadar g\u00fcvenilir<\/h2>\n\n\n\n

Daha sonra bu tahminler yapay zekan\u0131n betimlemeleriyle kar\u015f\u0131la\u015ft\u0131r\u0131ld\u0131. Ara\u015ft\u0131rmac\u0131lar bulgular\u0131, “Model koku kalitesini tan\u0131mlamada bir insan kadar g\u00fcvenilir” diye \u00f6zetledi:<\/p>\n\n\n\n

Bir molek\u00fcl\u00fcn yap\u0131s\u0131ndan yola \u00e7\u0131karak kokusunu tahmin etmede ola\u011fan\u00fcst\u00fc bir yetenek sergiledi. Bir di\u011fer deneyde ise ekip, yapay zekan\u0131n sinek kovucu molek\u00fclleri tan\u0131mlay\u0131p tan\u0131mlayamayaca\u011f\u0131n\u0131 merak etti.<\/p>\n\n\n\n

Bunun i\u00e7in sinir a\u011f\u0131 \u00f6nce iki veri k\u00fcmesiyle e\u011fitildi. Bu k\u00fcmelerde belirli bir molek\u00fcl\u00fcn sivrisinekleri ne denli uzak tutabilece\u011finin bilgisi yer al\u0131yordu.<\/p>\n\n\n\n

Deney sonunda yapay zekan\u0131n veri k\u00fcmelerinin d\u0131\u015f\u0131nda kalanlar da dahil olmak \u00fczere, hemen hemen her molek\u00fcl\u00fcn sinekleri kovmada ne kadar etkili oldu\u011funu do\u011fru tahmin etti\u011fi g\u00f6r\u00fcld\u00fc.<\/p>\n\n\n\n

Ekip, bu t\u00fcr ke\u015fiflerin \u00e7ok \u00f6nemli \u00e7\u0131kt\u0131lar\u0131 olabilece\u011fine inan\u0131yor:<\/p>\n\n\n\n

Daha ucuz, daha uzun \u00f6m\u00fcrl\u00fc ve daha g\u00fcvenli kovucular, s\u0131tma gibi hastal\u0131klar\u0131n d\u00fcnyada g\u00f6r\u00fclme s\u0131kl\u0131\u011f\u0131n\u0131 azaltabilir ve potansiyel olarak say\u0131s\u0131z hayat kurtarabilir.<\/p>\n","protected":false},"excerpt":{"rendered":"

Google ara\u015ft\u0131rmac\u0131lar\u0131, kimyasal yap\u0131s\u0131n\u0131 inceledi\u011fi maddenin nas\u0131l koktu\u011funu tan\u0131mlayabilen bir yapay zeka arac\u0131 geli\u015ftirdi<\/p>\n","protected":false},"author":20,"featured_media":30355,"template":"","meta":{"_acf_changed":false,"footnotes":""},"tags":[645,136,642,598,643,222],"class_list":["post-30350","mmg_articles","type-mmg_articles","status-publish","has-post-thumbnail","hentry","tag-bilim","tag-google","tag-koku","tag-model","tag-tat","tag-yapay-zeka"],"translation":{"provider":"WPGlobus","version":"3.0.0","language":"en","enabled_languages":["tr","en"],"languages":{"tr":{"title":true,"content":true,"excerpt":true},"en":{"title":false,"content":false,"excerpt":false}}},"acf":[],"_links":{"self":[{"href":"https:\/\/www.revolvia.com\/en\/wp-json\/wp\/v2\/mmg_articles\/30350","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.revolvia.com\/en\/wp-json\/wp\/v2\/mmg_articles"}],"about":[{"href":"https:\/\/www.revolvia.com\/en\/wp-json\/wp\/v2\/types\/mmg_articles"}],"author":[{"embeddable":true,"href":"https:\/\/www.revolvia.com\/en\/wp-json\/wp\/v2\/users\/20"}],"version-history":[{"count":0,"href":"https:\/\/www.revolvia.com\/en\/wp-json\/wp\/v2\/mmg_articles\/30350\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.revolvia.com\/en\/wp-json\/wp\/v2\/media\/30355"}],"wp:attachment":[{"href":"https:\/\/www.revolvia.com\/en\/wp-json\/wp\/v2\/media?parent=30350"}],"wp:term":[{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.revolvia.com\/en\/wp-json\/wp\/v2\/tags?post=30350"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}