{"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\/pt\/2017\/07\/when-moores-law-met-ai-artificial-intelligence-and-the-future-of-computing-medium\/","title":{"rendered":"Quando a Lei de Moore encontrou a IA - Intelig\u00eancia Artificial e o futuro da computa\u00e7\u00e3o - 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>\"A IA \u00e9 maior do que a Lei de Moore<\/p>\n<p>Em suma, esta mudan\u00e7a da Tesla resume o tipo de procura que as aplica\u00e7\u00f5es do tipo aprendizagem autom\u00e1tica v\u00e3o fazer no processamento dispon\u00edvel. N\u00e3o se trata apenas de ve\u00edculos aut\u00f3nomos. Ser\u00e3o os nossos dispositivos ligados, a infer\u00eancia no dispositivo para suportar interfaces pessoais, interac\u00e7\u00f5es de voz e realidade aumentada.<\/p>\n<p>Al\u00e9m disso, as nossas modalidades de programa\u00e7\u00e3o est\u00e3o a mudar. No mundo anterior \u00e0 aprendizagem autom\u00e1tica, uma grande parte do \"trabalho pesado\" era efectuada pelos c\u00e9rebros dos programadores de software. Estes programadores inteligentes t\u00eam a tarefa de simplificar e representar o mundo matematicamente (como c\u00f3digo de software), que depois \u00e9 executado de forma determin\u00edstica e burra.<\/p>\n<p>No novo mundo da aprendizagem autom\u00e1tica, o programador de software tem de se preocupar menos em traduzir as abstrac\u00e7\u00f5es pormenorizadas do mundo em c\u00f3digo. Em vez disso, constroem modelos probabil\u00edsticos que precisam de analisar enormes conjuntos de dados para recomendar o melhor resultado. O que o programador poupa em descobrir uma abstra\u00e7\u00e3o matem\u00e1tica \u00e9 compensado pedindo ao computador que fa\u00e7a muitos c\u00e1lculos (frequentemente milhares de milh\u00f5es de cada vez).<\/p>\n<p>\u00c0 medida que a aprendizagem autom\u00e1tica se estende a toda a empresa, a procura de processamento na empresa ser\u00e1 cada vez mais significativa. Que tipo de impacto ter\u00e1 este facto no sector das TI e nos seus fornecedores de hardware e software? Como \u00e9 que as pr\u00e1ticas v\u00e3o mudar? Que oportunidades \u00e9 que isto ir\u00e1 criar?\"<\/p>\n<p>Quando a Lei de Moore encontrou a IA - Intelig\u00eancia Artificial e o futuro da computa\u00e7\u00e3o - 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 \/>via 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\/pt\/wp-json\/wp\/v2\/posts\/104481","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/futuristgerd.com\/pt\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/futuristgerd.com\/pt\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/futuristgerd.com\/pt\/wp-json\/wp\/v2\/users\/38"}],"replies":[{"embeddable":true,"href":"https:\/\/futuristgerd.com\/pt\/wp-json\/wp\/v2\/comments?post=104481"}],"version-history":[{"count":0,"href":"https:\/\/futuristgerd.com\/pt\/wp-json\/wp\/v2\/posts\/104481\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/futuristgerd.com\/pt\/wp-json\/wp\/v2\/media\/104518"}],"wp:attachment":[{"href":"https:\/\/futuristgerd.com\/pt\/wp-json\/wp\/v2\/media?parent=104481"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/futuristgerd.com\/pt\/wp-json\/wp\/v2\/categories?post=104481"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/futuristgerd.com\/pt\/wp-json\/wp\/v2\/tags?post=104481"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}