{"id":14756,"date":"2024-07-06T01:38:15","date_gmt":"2024-07-06T01:38:15","guid":{"rendered":"https:\/\/www.lifescienceart.com\/?p=14756"},"modified":"2024-07-06T01:38:15","modified_gmt":"2024-07-06T01:38:15","slug":"google-ai-image-localization-planet","status":"publish","type":"post","link":"https:\/\/www.lifescienceart.com\/ro\/science\/artificial-intelligence\/google-ai-image-localization-planet\/","title":{"rendered":"Noua inteligen\u021b\u0103 artificial\u0103 de la Google localizeaz\u0103 cu acurate\u021be originea fotografiilor"},"content":{"rendered":"<h2 class=\"wp-block-heading\">Noua inteligen\u021b\u0103 artificial\u0103 de la Google localizeaz\u0103 cu acurate\u021be originea fotografiilor<\/h2>\n\n<h2 class=\"wp-block-heading\">Prezentarea PlaNet: Re\u021beaua neuronal\u0103 de localizare a imaginilor de la Google<\/h2>\n\n<p>Google a f\u0103cut pa\u0219i semnificativi \u00een domeniul inteligen\u021bei artificiale (AI) odat\u0103 cu dezvoltarea PlaNet, o re\u021bea neuronal\u0103 capabil\u0103 s\u0103 indice loca\u021bia unei fotografii cu o acurate\u021be remarcabil\u0103. Aceast\u0103 descoperire are poten\u021bialul de a revolu\u021biona aplica\u021biile bazate pe imagini \u0219i de a ne \u00eembun\u0103t\u0103\u021bi \u00een\u021belegerea lumii din jurul nostru.<\/p>\n\n<h2 class=\"wp-block-heading\">Cum func\u021bioneaz\u0103 PlaNet<\/h2>\n\n<p>PlaNet analizeaz\u0103 pixelii dintr-o imagine pentru a-i determina loca\u021bia. Pentru a antrena re\u021beaua neuronal\u0103, cercet\u0103torii au \u00eemp\u0103r\u021bit P\u0103m\u00e2ntul \u00een mii de \u201ecelule\u201d geografice \u0219i au introdus peste 100 de milioane de imagini geoetichetate. Unele imagini au fost folosite pentru a-l \u00eenv\u0103\u021ba pe PlaNet s\u0103 identifice c\u0103rei celule \u00eei apar\u021bine o imagine, \u00een timp ce altele au validat rezultatele ini\u021biale.<\/p>\n\n<h2 class=\"wp-block-heading\">Acurate\u021be impresionant\u0103<\/h2>\n\n<p>\u00cen cadrul testelor, PlaNet a ob\u021binut rezultate impresionante. A identificat loca\u021bia a 3,6% dintre imagini cu \u201eacurate\u021be la nivel de strad\u0103\u201d, 10,1% la nivel de ora\u0219, 28,4% la nivel de \u021bar\u0103 \u0219i 48% la nivel de continent. Aceste rezultate dep\u0103\u0219esc performan\u021ba uman\u0103, presupunerile incorecte ale lui PlaNet fiind \u00een medie la doar 702 mile distan\u021b\u0103 de loca\u021bia real\u0103, \u00een compara\u021bie cu peste 1.400 de mile \u00een cazul subiec\u021bilor umani.<\/p>\n\n<h2 class=\"wp-block-heading\">Aplica\u021bii \u0219i poten\u021bial<\/h2>\n\n<p>Capacit\u0103\u021bile PlaNet au implica\u021bii de mare anvergur\u0103. Poate fi \u00eencorporat \u00een dispozitive precum telefoanele mobile pentru a efectua analize complexe de imagini, cum ar fi identificarea punctelor de reper, furnizarea de context istoric sau asisten\u021b\u0103 \u00een navigare. Tehnologia promite, de asemenea, \u00een domenii precum planificarea urban\u0103, monitorizarea mediului \u0219i opera\u021biunile de c\u0103utare \u0219i salvare.<\/p>\n\n<h2 class=\"wp-block-heading\">Viitorul localiz\u0103rii imaginilor<\/h2>\n\n<p>Re\u021belele neuronale precum PlaNet reprezint\u0103 un progres semnificativ \u00een analiza imaginilor. Cercet\u0103torii \u00ee\u0219i imagineaz\u0103 un viitor \u00een care aceste sisteme vor deveni \u0219i mai sofisticate, permi\u021b\u00e2ndu-le s\u0103 \u00eenve\u021be unele de la altele \u0219i s\u0103 \u00eendeplineasc\u0103 sarcini din ce \u00een ce mai complexe. Pe m\u0103sur\u0103 ce AI continu\u0103 s\u0103 evolueze, ne putem a\u0219tepta la noi descoperiri care s\u0103 ne \u00eembun\u0103t\u0103\u021beasc\u0103 abilitatea de a \u00een\u021belege \u0219i interac\u021biona cu lumea vizual\u0103.<\/p>\n\n<h2 class=\"wp-block-heading\">Perspective suplimentare<\/h2>\n\n<ul class=\"wp-block-list\">\n<li>Acurate\u021bea lui PlaNet este atribuit\u0103 setului s\u0103u masiv de date de antrenament \u0219i algoritmilor avansa\u021bi de \u00eenv\u0103\u021bare automat\u0103.<\/li>\n<li>Aplica\u021biile poten\u021biale ale lui PlaNet se extind dincolo de localizarea imaginilor, incluz\u00e2nd recunoa\u0219terea obiectelor, recunoa\u0219terea facial\u0103 \u0219i analiza imaginilor medicale.<\/li>\n<li>Pe m\u0103sur\u0103 ce re\u021belele neuronale devin mai puternice, acurate\u021bea \u0219i domeniul de aplicare al localiz\u0103rii imaginilor vor continua s\u0103 se \u00eembun\u0103t\u0103\u021beasc\u0103.<\/li>\n<li>Trebuie luate \u00een considerare implica\u021biile etice ale localiz\u0103rii imaginilor bazate pe AI, \u00een special \u00een ceea ce prive\u0219te confiden\u021bialitatea \u0219i supravegherea.<\/li>\n<\/ul>","protected":false},"excerpt":{"rendered":"<p>Noua inteligen\u021b\u0103 artificial\u0103 de la Google localizeaz\u0103 cu acurate\u021be originea fotografiilor Prezentarea PlaNet: Re\u021beaua neuronal\u0103 de localizare a imaginilor de la Google Google a f\u0103cut pa\u0219i semnificativi \u00een domeniul inteligen\u021bei&hellip;<\/p>\n","protected":false},"author":6,"featured_media":23799,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2224],"tags":[19771,1254,1541,7721,19772,19773,3506,18056],"class_list":["post-14756","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-artificial-intelligence","tag-image-analysis","tag-artificial-intelligence","tag-machine-learning","tag-deep-learning","tag-image-localization","tag-planet","tag-neural-networks","tag-computer-vision"],"_links":{"self":[{"href":"https:\/\/www.lifescienceart.com\/ro\/wp-json\/wp\/v2\/posts\/14756","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.lifescienceart.com\/ro\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.lifescienceart.com\/ro\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.lifescienceart.com\/ro\/wp-json\/wp\/v2\/users\/6"}],"replies":[{"embeddable":true,"href":"https:\/\/www.lifescienceart.com\/ro\/wp-json\/wp\/v2\/comments?post=14756"}],"version-history":[{"count":1,"href":"https:\/\/www.lifescienceart.com\/ro\/wp-json\/wp\/v2\/posts\/14756\/revisions"}],"predecessor-version":[{"id":14757,"href":"https:\/\/www.lifescienceart.com\/ro\/wp-json\/wp\/v2\/posts\/14756\/revisions\/14757"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.lifescienceart.com\/ro\/wp-json\/wp\/v2\/media\/23799"}],"wp:attachment":[{"href":"https:\/\/www.lifescienceart.com\/ro\/wp-json\/wp\/v2\/media?parent=14756"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.lifescienceart.com\/ro\/wp-json\/wp\/v2\/categories?post=14756"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.lifescienceart.com\/ro\/wp-json\/wp\/v2\/tags?post=14756"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}