{"id":49,"date":"2017-03-01T06:23:12","date_gmt":"2017-03-01T06:23:12","guid":{"rendered":"http:\/\/www.juansequeda.com\/blog\/?p=49"},"modified":"2017-03-01T06:23:12","modified_gmt":"2017-03-01T06:23:12","slug":"a-refreshing-no-fluff-no-buzzword-perspective-on-artificial-intelligence","status":"publish","type":"post","link":"https:\/\/www.juansequeda.com\/blog\/2017\/03\/01\/a-refreshing-no-fluff-no-buzzword-perspective-on-artificial-intelligence\/","title":{"rendered":"A Refreshing, No-Fluff, No-Buzzword Perspective on Artificial Intelligence"},"content":{"rendered":"<div><\/div>\n<div>\n<p>I encountered this refreshing and excellent summary of Artificial Intelligence by <a href=\"https:\/\/en.wikipedia.org\/wiki\/John_Launchbury\">John Launchbury<\/a>, the Director of DARPA&#8217;s Information Innovation Office (I2O). Thanks <a href=\"https:\/\/en.wikipedia.org\/wiki\/Frank_van_Harmelen\">Frank van Harmelen<\/a> for posting this!<\/p>\n<div>\n<p>No fluff. No buzzwords.\u00a0It is crisp and succinct explanation of the state of AI today and where it is going. Deep learning wasn&#8217;t\u00a0even mentioned!<\/p>\n<p>The quickly summary is that AI up to now can be summarize in two waves:<\/p>\n<p>First Wave: <em>Handcrafted Knowledge<\/em> which is very good at reasoning but not very good a perceiving the outside world. It is not good for learning nor abstracting.<\/p>\n<blockquote><p><em>Handcrafted Knowledge:\u00a0<\/em>Enables reasoning over narrowly defined problems. No learning capability and poor handling of uncertainty<\/p><\/blockquote>\n<p>Second Wave: Statistical Learning which is good a perceiving and learning but it is not so good for reasoning and abstracting.<\/p>\n<blockquote><p>Statistical Learning: Nuanced classifications and predication capabilities. No contextual capability and minimal reasoning ability.<\/p><\/blockquote>\n<p><span style=\"color: #333333; font-family: 'Libre Franklin', 'Helvetica Neue', helvetica, arial, sans-serif;\">The\u00a0next Wave, noted as <em>Contextual adaptation\u00a0<\/em>is where systems can construct explanatory models that explain real world phenomena.\u00a0<\/span><\/p>\n<p>My take away from this is that GOFAI (<a href=\"https:\/\/en.wikipedia.org\/wiki\/Symbolic_artificial_intelligence\">Good Old Fashion AI<\/a>)\u00a0is still active and relevant and\u00a0by combining it with Machine Learning, we will enter the next wave of AI which can provide answers to the why (context).<\/p>\n<\/div>\n<\/div>\n<p><iframe loading=\"lazy\" title=\"A DARPA Perspective on Artificial Intelligence\" width=\"525\" height=\"295\" src=\"https:\/\/www.youtube.com\/embed\/-O01G3tSYpU?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe><\/p>\n<p>The conclusion of this video is aligned with the takeaway message from <a href=\"https:\/\/en.wikipedia.org\/wiki\/James_Hendler\">Jim Hendler<\/a> presentation\u00a0at the 4th Heidelberg Laureate Forum (HLF): we need Human and AI together.<\/p>\n<p><iframe loading=\"lazy\" title=\"4th HLF \u2013 Hot Topic: Artificial Intelligence \u2013 Presentation James A. Hendler\" width=\"525\" height=\"295\" src=\"https:\/\/www.youtube.com\/embed\/EoFdTYfr7tw?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe><\/p>\n<p>Hope you enjoy watching these\u00a0videos as much as I did.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>I encountered this refreshing and excellent summary of Artificial Intelligence by John Launchbury, the Director of DARPA&#8217;s Information Innovation Office (I2O). Thanks Frank van Harmelen for posting this! No fluff. No buzzwords.\u00a0It is crisp and succinct explanation of the state of AI today and where it is going. Deep learning wasn&#8217;t\u00a0even mentioned! The quickly summary &hellip; <\/p>\n<p class=\"link-more\"><a href=\"https:\/\/www.juansequeda.com\/blog\/2017\/03\/01\/a-refreshing-no-fluff-no-buzzword-perspective-on-artificial-intelligence\/\" class=\"more-link\">Continue reading<span class=\"screen-reader-text\"> &#8220;A Refreshing, No-Fluff, No-Buzzword Perspective on Artificial Intelligence&#8221;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[1],"tags":[],"class_list":["post-49","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v14.8.1 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>A Refreshing, No-Fluff, No-Buzzword Perspective on Artificial Intelligence - Juan Sequeda&#039;s Blog<\/title>\n<meta name=\"robots\" content=\"index, follow\" \/>\n<meta name=\"googlebot\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<meta name=\"bingbot\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"http:\/\/www.juansequeda.com\/blog\/2017\/03\/01\/a-refreshing-no-fluff-no-buzzword-perspective-on-artificial-intelligence\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"A Refreshing, No-Fluff, No-Buzzword Perspective on Artificial Intelligence - Juan Sequeda&#039;s Blog\" \/>\n<meta property=\"og:description\" content=\"I encountered this refreshing and excellent summary of Artificial Intelligence by John Launchbury, the Director of DARPA&#8217;s Information Innovation Office (I2O). Thanks Frank van Harmelen for posting this! No fluff. No buzzwords.\u00a0It is crisp and succinct explanation of the state of AI today and where it is going. Deep learning wasn&#8217;t\u00a0even mentioned! 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