{"id":17402,"date":"2021-02-13T15:09:55","date_gmt":"2021-02-13T15:09:55","guid":{"rendered":"https:\/\/www.lifescienceart.com\/?p=17402"},"modified":"2021-02-13T15:09:55","modified_gmt":"2021-02-13T15:09:55","slug":"fruit-fly-brains-improve-search-engines","status":"publish","type":"post","link":"https:\/\/www.lifescienceart.com\/ro\/science\/biology\/fruit-fly-brains-improve-search-engines\/","title":{"rendered":"Creierele mu\u0219telor de fructe: Secretul \u00eembun\u0103t\u0103\u021birii motoarelor de c\u0103utare"},"content":{"rendered":"<h2 class=\"wp-block-heading\">Creierul mu\u0219tei de fructe: Secretul \u00eembun\u0103t\u0103\u021birii motoarelor de c\u0103utare<\/h2>\n\n<h2 class=\"wp-block-heading\">Cum poate creierul mu\u0219tei de fructe s\u0103 \u00eembun\u0103t\u0103\u021beasc\u0103 c\u0103ut\u0103rile pe baz\u0103 de similaritate<\/h2>\n\n<p>Mu\u0219tele de fructe posed\u0103 o capacitate remarcabil\u0103 de a efectua c\u0103ut\u0103ri pe baz\u0103 de similaritate, o abilitate care a atras aten\u021bia cercet\u0103torilor ce \u00eencearc\u0103 s\u0103 \u00eembun\u0103t\u0103\u021beasc\u0103 algoritmii motoarelor de c\u0103utare. Studiind modul \u00een care creierul mu\u0219telor de fructe proceseaz\u0103 \u0219i potrive\u0219te datele, oamenii de \u0219tiin\u021b\u0103 ob\u021bin informa\u021bii valoroase care ar putea duce la rezultate ale c\u0103ut\u0103rii mai eficiente \u0219i mai precise.<\/p>\n\n<h2 class=\"wp-block-heading\">Puterea declan\u0219\u0103rii neuronale<\/h2>\n\n<p>C\u00e2nd o musc\u0103 de fructe \u00eent\u00e2lne\u0219te un miros, declan\u0219eaz\u0103 o combina\u021bie unic\u0103 de declan\u0219\u0103ri neuronale. Aceste modele de declan\u0219are creeaz\u0103 o \u201eamprent\u0103\u201d distinct\u0103 pentru fiecare miros. Spre deosebire de algoritmii computeriza\u021bi care reduc num\u0103rul de puncte de date asociate cu un miros, mu\u0219tele de fructe \u00ee\u0219i extind de fapt c\u0103utarea prin generarea a mii de neuroni care se declan\u0219eaz\u0103. Aceast\u0103 reprezentare extins\u0103 permite creierului mu\u0219tei s\u0103 disting\u0103 \u00eentre mirosuri similare \u0219i diferite cu mai mult\u0103 precizie, \u00eempiedic\u00e2nd confuzia \u00eentre elementele \u201ecomestibile\u201d \u0219i \u201enecomestibile\u201d.<\/p>\n\n<h2 class=\"wp-block-heading\">Aplicarea c\u0103ut\u0103rii cu mu\u0219te la algoritmii computeriza\u021bi<\/h2>\n\n<p>Cercet\u0103torii au aplicat cu succes tehnica de c\u0103utare pe baz\u0103 de similaritate a mu\u0219telor pe seturi de date utilizate pentru testarea algoritmilor de c\u0103utare. \u00cen mod surprinz\u0103tor, \u201esolu\u021bia cu mu\u0219te\u201d a func\u021bionat la fel de bine, dac\u0103 nu chiar mai bine dec\u00e2t solu\u021biile existente \u00een domeniul informaticii. Aceast\u0103 descoperire sugereaz\u0103 c\u0103 creierul mu\u0219telor de fructe ar putea de\u021bine cheia pentru deblocarea unor noi posibilit\u0103\u021bi \u00een potrivirea \u0219i reg\u0103sirea datelor.<\/p>\n\n<h2 class=\"wp-block-heading\">Aplica\u021bii poten\u021biale \u00een \u00eenv\u0103\u021barea automat\u0103 \u0219i IA<\/h2>\n\n<p>Aplica\u021biile poten\u021biale ale c\u0103ut\u0103rii cu mu\u0219te \u00een \u00eenv\u0103\u021barea automat\u0103 \u0219i inteligen\u021ba artificial\u0103 sunt vaste. Imit\u00e2nd eficien\u021ba \u0219i precizia creierului mu\u0219telor de fructe, motoarele de c\u0103utare ar putea deveni mai receptive \u0219i mai intuitive. Acest lucru s-ar putea traduce prin rezultate ale c\u0103ut\u0103rii mai rapide \u0219i mai relevante, \u00eembun\u0103t\u0103\u021bind experien\u021ba noastr\u0103 zilnic\u0103 online.<\/p>\n\n<h2 class=\"wp-block-heading\">Dou\u0103 c\u0103i de dezvoltare<\/h2>\n\n<p>Cercet\u0103torii exploreaz\u0103 \u00een prezent dou\u0103 direc\u021bii principale pentru dezvoltarea algoritmilor de c\u0103utare cu mu\u0219te:<\/p>\n\n<ul class=\"wp-block-list\">\n<li><strong>\u00cembun\u0103t\u0103\u021birea eficien\u021bei:<\/strong> Reducerea cerin\u021belor de calcul ale procesului de c\u0103utare, reduc\u00e2nd astfel consumul bateriei \u0219i prelungind durata de via\u021b\u0103 a dispozitivului.<\/li>\n<li><strong>\u00cembun\u0103t\u0103\u021birea preciziei:<\/strong> Rafinarea \u00een continuare a tehnicii de c\u0103utare pentru a asigura rezultate mai precise \u0219i mai fiabile.<\/li>\n<\/ul>\n\n<h2 class=\"wp-block-heading\">Viitorul motoarelor de c\u0103utare<\/h2>\n\n<p>Cercet\u0103rile privind creierul mu\u0219telor de fructe au deschis posibilit\u0103\u021bi interesante pentru viitorul motoarelor de c\u0103utare. Valorific\u00e2nd puterea inteligen\u021bei naturale, am putea crea algoritmi de c\u0103utare care s\u0103 dep\u0103\u0219easc\u0103 capacit\u0103\u021bile oric\u0103rui sistem informatic actual. Acest lucru ar putea revolu\u021biona modul \u00een care acces\u0103m \u0219i interac\u021bion\u0103m cu informa\u021biile online.<\/p>\n\n<h2 class=\"wp-block-heading\">Cercet\u0103ri \u00een curs \u0219i direc\u021bii viitoare<\/h2>\n\n<p>Cercet\u0103torii continu\u0103 s\u0103 investigheze poten\u021bialul algoritmilor de c\u0103utare cu mu\u0219te pe seturi de date mai mari \u0219i exploreaz\u0103 modalit\u0103\u021bi de optimizare a performan\u021bei acestora. Scopul final este de a dezvolta motoare de c\u0103utare care s\u0103 imite capacit\u0103\u021bile remarcabile de potrivire a datelor ale creierului mu\u0219telor de fructe, oferind \u00een cele din urm\u0103 utilizatorilor o experien\u021b\u0103 de c\u0103utare superioar\u0103.<\/p>","protected":false},"excerpt":{"rendered":"<p>Creierul mu\u0219tei de fructe: Secretul \u00eembun\u0103t\u0103\u021birii motoarelor de c\u0103utare Cum poate creierul mu\u0219tei de fructe s\u0103 \u00eembun\u0103t\u0103\u021beasc\u0103 c\u0103ut\u0103rile pe baz\u0103 de similaritate Mu\u0219tele de fructe posed\u0103 o capacitate remarcabil\u0103 de&hellip;<\/p>\n","protected":false},"author":6,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[288],"tags":[83,22887,1254,1541,3506],"class_list":["post-17402","post","type-post","status-publish","format-standard","hentry","category-biology","tag-biomimicry","tag-data-matching","tag-artificial-intelligence","tag-machine-learning","tag-neural-networks"],"_links":{"self":[{"href":"https:\/\/www.lifescienceart.com\/ro\/wp-json\/wp\/v2\/posts\/17402","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=17402"}],"version-history":[{"count":1,"href":"https:\/\/www.lifescienceart.com\/ro\/wp-json\/wp\/v2\/posts\/17402\/revisions"}],"predecessor-version":[{"id":17403,"href":"https:\/\/www.lifescienceart.com\/ro\/wp-json\/wp\/v2\/posts\/17402\/revisions\/17403"}],"wp:attachment":[{"href":"https:\/\/www.lifescienceart.com\/ro\/wp-json\/wp\/v2\/media?parent=17402"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.lifescienceart.com\/ro\/wp-json\/wp\/v2\/categories?post=17402"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.lifescienceart.com\/ro\/wp-json\/wp\/v2\/tags?post=17402"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}