{"id":104481,"date":"2017-07-23T12:22:16","date_gmt":"2017-07-23T12:22:16","guid":{"rendered":"https:\/\/gerdtestpress.online\/?guid=8afcc5fe399e895902ed53df34e8ae93"},"modified":"2017-07-23T12:22:16","modified_gmt":"2017-07-23T12:22:16","slug":"when-moores-law-met-ai-artificial-intelligence-and-the-future-of-computing-medium","status":"publish","type":"post","link":"https:\/\/futuristgerd.com\/es\/2017\/07\/when-moores-law-met-ai-artificial-intelligence-and-the-future-of-computing-medium\/","title":{"rendered":"Cuando la Ley de Moore se encontr\u00f3 con la IA - Inteligencia Artificial y el futuro de la inform\u00e1tica - Medium"},"content":{"rendered":"<p><span style=\"font-size: 14px\">\u201cAI is bigger than Moore\u2019s Law<\/span>\u00a0<span style=\"font-size: 14px\">In a nutshell, this shift by Tesla summarizes the kinds of demand machine learning-like applications are going to make on available processing. It isn\u2019t just autonomous vehicles. It will be our connected devices, on-device inferencing to support personal interfaces, voice interactions and augmented reality.\u00a0<\/span><span style=\"font-size: 14px\">In addition, our programming modalities our changing. In the pre-machine learning world, a large amount of \u2018heavy lifting\u2019 was done by the brains of the software developer. These smart developers have the task of simplifying and representing the world mathematically (as software code), which then gets executed in a deterministic and dumb fashion.\u00a0<\/span><span style=\"font-size: 14px\"><strong>In the new world of machine learning, the software developer needs to worry less about translating the detailed abstractions of the world into code. Instead, they build probabilistic models which need to crunch enormous datasets to recommend a best output.<\/strong> What the programmer saves in figuring out a mathematical abstraction they make up for by asking the computer to do many calculations (often billions at a time).\u00a0<\/span><span style=\"font-size: 14px\">As machine learning creeps across the enterprise, the demand for processing in the firm will increasingly significantly. What kind of impact will this have on the IT industry, its hardware and software suppliers? How will practices change? What opportunities will this create?\u201d<\/span><\/p>\n<div class=\"posthaven-post-body\">\n<div>\nWhen Moore\u2019s Law Met AI \u2013 Artificial Intelligence and the Future of Computing \u2013 Medium<br \/>\n<a href=\"https:\/\/medium.com\/s\/ai-and-the-future-of-computing\/when-moores-law-met-ai-f572585da1b7\">https:\/\/medium.com\/s\/ai-and-the-future-of-computing\/when-moores-law-met-ai-f572585da1b7<\/a><br \/>\nvia Instapaper<\/div>\n<div><\/div>\n<div id=\"AppleMailSignature\">\n<div id=\"posthaven_gallery[1185434]\" class=\"posthaven-gallery\">\n<p class=\"posthaven-file posthaven-file-image posthaven-file-state-processed\"><img decoding=\"async\" class=\"posthaven-gallery-image\" src=\"https:\/\/phaven-prod.s3.amazonaws.com\/files\/image_part\/asset\/1911917\/pLVeK9mOlDFFRnlD7u9R5vHsDAY\/medium_image1.JPG\" \/><\/p>\n<\/div>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<div>\n<div>\"La IA es m\u00e1s grande que la Ley de Moore<\/p>\n<p>En pocas palabras, este cambio de Tesla resume el tipo de demanda que las aplicaciones similares al aprendizaje autom\u00e1tico van a hacer del procesamiento disponible. No se trata solo de veh\u00edculos aut\u00f3nomos. Ser\u00e1n nuestros dispositivos conectados, la inferencia en el dispositivo para apoyar las interfaces personales, las interacciones de voz y la realidad aumentada.<\/p>\n<p>Adem\u00e1s, nuestras modalidades de programaci\u00f3n est\u00e1n cambiando. En el mundo anterior al aprendizaje autom\u00e1tico, gran parte del \"trabajo pesado\" lo realizaban los cerebros de los desarrolladores de software. Estos desarrolladores inteligentes tienen la tarea de simplificar y representar el mundo matem\u00e1ticamente (como c\u00f3digo de software), que luego se ejecuta de forma determinista y tonta.<\/p>\n<p>En el nuevo mundo del aprendizaje autom\u00e1tico, el desarrollador de software tiene que preocuparse menos de traducir en c\u00f3digo las abstracciones detalladas del mundo. En su lugar, construyen modelos probabil\u00edsticos que tienen que crujir enormes conjuntos de datos para recomendar el mejor resultado. Lo que el programador se ahorra en descifrar una abstracci\u00f3n matem\u00e1tica lo compensa pidiendo al ordenador que haga muchos c\u00e1lculos (a menudo miles de millones a la vez).<\/p>\n<p>A medida que el aprendizaje autom\u00e1tico se vaya extendiendo por la empresa, la demanda de procesamiento en la empresa ser\u00e1 cada vez mayor. \u00bfQu\u00e9 tipo de impacto tendr\u00e1 esto en la industria de TI, sus proveedores de hardware y software? \u00bfC\u00f3mo cambiar\u00e1n las pr\u00e1cticas? \u00bfQu\u00e9 oportunidades crear\u00e1?\".<\/p>\n<p>Cuando la Ley de Moore se encontr\u00f3 con la IA - Inteligencia Artificial y el futuro de la inform\u00e1tica - Medium<br \/><a href=\"https:\/\/medium.com\/s\/ai-and-the-future-of-computing\/when-moores-law-met-ai-f572585da1b7\">https:\/\/medium.com\/s\/ai-and-the-future-of-computing\/when-moores-law-met-ai-f572585da1b7<\/a><br \/>v\u00eda Instapaper<\/div>\n<div><\/div>\n<div>\n<div>\n<p>\n          <img decoding=\"async\" src=\"https:\/\/phaven-prod.s3.amazonaws.com\/files\/image_part\/asset\/1911917\/pLVeK9mOlDFFRnlD7u9R5vHsDAY\/medium_image1.JPG\"><\/p>\n<\/p><\/div>\n<\/div>\n<\/div>","protected":false},"author":38,"featured_media":104518,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_analytify_skip_tracking":false,"footnotes":""},"categories":[174,749,1116,1091],"tags":[1077,1269],"class_list":["post-104481","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-artificial-intelligence-2","category-deep-learning","category-digital-ethics","category-futuresagency","tag-machine-learning","tag-tesla","masonry-post","generate-columns","tablet-grid-50","mobile-grid-100","grid-parent","grid-33"],"acf":[],"_links":{"self":[{"href":"https:\/\/futuristgerd.com\/es\/wp-json\/wp\/v2\/posts\/104481","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/futuristgerd.com\/es\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/futuristgerd.com\/es\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/futuristgerd.com\/es\/wp-json\/wp\/v2\/users\/38"}],"replies":[{"embeddable":true,"href":"https:\/\/futuristgerd.com\/es\/wp-json\/wp\/v2\/comments?post=104481"}],"version-history":[{"count":0,"href":"https:\/\/futuristgerd.com\/es\/wp-json\/wp\/v2\/posts\/104481\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/futuristgerd.com\/es\/wp-json\/wp\/v2\/media\/104518"}],"wp:attachment":[{"href":"https:\/\/futuristgerd.com\/es\/wp-json\/wp\/v2\/media?parent=104481"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/futuristgerd.com\/es\/wp-json\/wp\/v2\/categories?post=104481"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/futuristgerd.com\/es\/wp-json\/wp\/v2\/tags?post=104481"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}