{"id":1,"date":"2021-10-22T17:08:22","date_gmt":"2021-10-22T17:08:22","guid":{"rendered":"http:\/\/aiml.scs.carleton.ca\/?p=1"},"modified":"2021-11-19T00:59:21","modified_gmt":"2021-11-19T00:59:21","slug":"home","status":"publish","type":"post","link":"https:\/\/aiml.carleton.ca\/index.php\/2021\/10\/22\/home\/","title":{"rendered":"Home"},"content":{"rendered":"\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-8f761849 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-vertically-aligned-top is-layout-flow wp-block-column-is-layout-flow\" style=\"padding-top:1px;padding-right:175px;padding-bottom:1px;padding-left:200px;flex-basis:100%\">\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-8f761849 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:66.66%\">\n<h3>About Us<\/h3>\n                        <p> Artificial Intelligence and Machine Learning (AIML) lab is a research lab at the School of Computer Science, Carleton University.  AIML investigates various AI and ML problems with an emphasis on learning useful data representations and learning robust models that can perform accurately under various challenging setups. The ultimate goal of AIML is to automate the learning process and reduce the dependence of learning systems on human guidance. The lab members pursue these lines of research across various application areas such as: computer vision, natural language processing and bioinformatics.\n\t\t\t\t\t\t<\/p>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:33.33%\">\n<!--\n<h3>We have open positions<\/h3>\n               <p> We have open positions <\/p>\n-->\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>About Us Artificial Intelligence and Machine Learning (AIML) lab is a research lab at the School of Computer Science, Carleton University. AIML investigates various AI and ML problems with an emphasis on learning useful data representations and learning robust models that can perform accurately under various challenging setups. The ultimate goal of AIML is to&hellip; <a class=\"more-link\" href=\"https:\/\/aiml.carleton.ca\/index.php\/2021\/10\/22\/home\/\">Continue reading <span class=\"screen-reader-text\">Home<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"template-page-builder.php","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-1","post","type-post","status-publish","format-standard","hentry","category-uncategorized","entry"],"_links":{"self":[{"href":"https:\/\/aiml.carleton.ca\/index.php\/wp-json\/wp\/v2\/posts\/1","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/aiml.carleton.ca\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/aiml.carleton.ca\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/aiml.carleton.ca\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/aiml.carleton.ca\/index.php\/wp-json\/wp\/v2\/comments?post=1"}],"version-history":[{"count":13,"href":"https:\/\/aiml.carleton.ca\/index.php\/wp-json\/wp\/v2\/posts\/1\/revisions"}],"predecessor-version":[{"id":312,"href":"https:\/\/aiml.carleton.ca\/index.php\/wp-json\/wp\/v2\/posts\/1\/revisions\/312"}],"wp:attachment":[{"href":"https:\/\/aiml.carleton.ca\/index.php\/wp-json\/wp\/v2\/media?parent=1"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/aiml.carleton.ca\/index.php\/wp-json\/wp\/v2\/categories?post=1"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/aiml.carleton.ca\/index.php\/wp-json\/wp\/v2\/tags?post=1"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}