{"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\/de\/2017\/07\/when-moores-law-met-ai-artificial-intelligence-and-the-future-of-computing-medium\/","title":{"rendered":"Wenn Moores Gesetz auf KI trifft - K\u00fcnstliche Intelligenz und die Zukunft der Computertechnik - 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>\"KI ist gr\u00f6\u00dfer als das Mooresche Gesetz<\/p>\n<p>Auf den Punkt gebracht, fasst dieser Schritt von Tesla die Art der Nachfrage nach Anwendungen, die dem maschinellen Lernen \u00e4hneln, nach der verf\u00fcgbaren Datenverarbeitung zusammen. Es geht nicht nur um autonome Fahrzeuge. Es geht um unsere vernetzten Ger\u00e4te, ger\u00e4teinterne R\u00fcckschl\u00fcsse zur Unterst\u00fctzung pers\u00f6nlicher Schnittstellen, Sprachinteraktionen und Augmented Reality.<\/p>\n<p>Dar\u00fcber hinaus \u00e4ndern sich unsere Programmiermodalit\u00e4ten. In der Welt vor dem maschinellen Lernen wurde ein gro\u00dfer Teil der \"Schwerstarbeit\" von den Gehirnen der Softwareentwickler erledigt. Diese intelligenten Entwickler haben die Aufgabe, die Welt zu vereinfachen und mathematisch darzustellen (als Softwarecode), der dann auf deterministische und dumme Weise ausgef\u00fchrt wird.<\/p>\n<p>In der neuen Welt des maschinellen Lernens muss sich der Softwareentwickler weniger darum k\u00fcmmern, die detaillierten Abstraktionen der Welt in Code zu \u00fcbersetzen. Stattdessen erstellen sie probabilistische Modelle, die riesige Datens\u00e4tze verarbeiten m\u00fcssen, um eine optimale Ausgabe zu empfehlen. Was der Programmierer bei der mathematischen Abstraktion einspart, macht er dadurch wett, dass er den Computer mit vielen Berechnungen (oft Milliarden auf einmal) beauftragt.<\/p>\n<p>Da sich das maschinelle Lernen im gesamten Unternehmen durchsetzt, wird der Bedarf an Datenverarbeitung im Unternehmen deutlich zunehmen. Welche Auswirkungen wird dies auf die IT-Branche, ihre Hardware- und Softwareanbieter haben? Wie werden sich die Praktiken \u00e4ndern? Welche M\u00f6glichkeiten werden sich daraus ergeben?\"<\/p>\n<p>Wenn Moores Gesetz auf KI trifft - K\u00fcnstliche Intelligenz und die Zukunft der Computertechnik - 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 \/>\u00fcber 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\/de\/wp-json\/wp\/v2\/posts\/104481","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/futuristgerd.com\/de\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/futuristgerd.com\/de\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/futuristgerd.com\/de\/wp-json\/wp\/v2\/users\/38"}],"replies":[{"embeddable":true,"href":"https:\/\/futuristgerd.com\/de\/wp-json\/wp\/v2\/comments?post=104481"}],"version-history":[{"count":0,"href":"https:\/\/futuristgerd.com\/de\/wp-json\/wp\/v2\/posts\/104481\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/futuristgerd.com\/de\/wp-json\/wp\/v2\/media\/104518"}],"wp:attachment":[{"href":"https:\/\/futuristgerd.com\/de\/wp-json\/wp\/v2\/media?parent=104481"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/futuristgerd.com\/de\/wp-json\/wp\/v2\/categories?post=104481"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/futuristgerd.com\/de\/wp-json\/wp\/v2\/tags?post=104481"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}