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  1. it.wikipedia.org › wiki › Sergey_BrinSergey Brin - Wikipedia

    Sergey Brin. Sergey Brin, nato Sergej Michajlovič Brin (in russo Серге́й Миха́йлович Брин?; Mosca, 21 agosto 1973), è un imprenditore russo naturalizzato statunitense [1], fondatore insieme a Larry Page di una delle più grandi società attive su Internet, Google. Secondo Forbes, al 23 luglio 2023, è uno degli uomini più ricchi del mondo, con un patrimonio personale ...

  2. Sergey Brin wurde in der sowjetischen Hauptstadt Moskau als Sohn des Mathematikers Michael Brin geboren. Beide Elternteile sind jüdischer Abstammung. [2] Insbesondere der Vater hatte unter dem verdeckten Antisemitismus in der Sowjetunion zu leiden, der Juden eine akademische Karriere erschwerte. Im September 1978 stellte die Familie einen Ausreiseantrag, dem nach einigen Schikanen ...

  3. 谢尔盖·布林(英語: Sergey Brin ;1973年8月21日 — ),美国籍犹太裔 電腦科學家與企业家,來自蘇聯。 布林与拉里·佩奇合作建立以搜索引擎和線上廣告技術聞名、世界最大的網路公司Google [5] 。 他在福布斯2019年億萬富翁排行榜中名列第14位,資產達到498億美元 [6] 。

  4. 17 de may. de 2024 · If you use the Internet, chances are you use Google every day. The search engine and the enormously successful company that shares its name were the creation of a pair of Stanford University graduate students still in their mid-20s, Larry Page and Sergey Brin. It was Larry Page who first hit on the idea of analyzing Internet links to rate their relevance to a given information search.

  5. Cuando Sergey Brin se unió a la protesta en el aeropuerto de San Francisco contra la orden de inmigración dictada por el entonces presidente Donald Trump, es posible que muchas personas no conocieran parte del pasado del cofundador de Google.

  6. 3 de dic. de 2019 · Our very first founders’ letter in our 2004 S-1 began: “Google is not a conventional company. We do not intend to become one. Throughout Google’s evolution as a privately held company, we have managed Google differently.

  7. Why you should listen. Sergey Brin and Larry Page met in grad school at Stanford in the mid-'90s, and in 1996 started working on a search technology based around a new idea: that relevant results come from context. Their technology analyzed the number of times a given website was linked to by other sites — assuming that the more links, the more relevant the site — and ranked sites accordingly.