{"id":13,"date":"2021-11-08T14:23:10","date_gmt":"2021-11-08T13:23:10","guid":{"rendered":"https:\/\/web.umons.ac.be\/maia\/teaching-activities\/"},"modified":"2021-11-08T15:00:45","modified_gmt":"2021-11-08T14:00:45","slug":"teaching-activities","status":"publish","type":"page","link":"https:\/\/web.umons.ac.be\/maia\/en\/teaching-activities\/","title":{"rendered":"Teaching activities"},"content":{"rendered":"<p>The courses offered in artificial intelligence and machine learning cover:<\/p>\n<ul>\n<li>advances in artificial intelligence through deep learning applied to long-term dependency modeling, and in particular to natural language processing. The exploitation of DNNs, CNNs, RNNs, LSTMs, GRUs, Attention, Transformers, GPTs, generative models, GANs, and auto-encoders allow applications such as machine translation, information classification and extraction, chatbots, the extraction and search for information in \u00ab\u00a0big data\u00a0\u00bb, etc.<\/li>\n<li>the field at the intersection of artificial intelligence and probability theory, including probabilistic graphical models, Bayesian networks, and their implementation via probabilistic programming. Decision-making in the face of uncertainty (missing information, noisy data, etc.) via statistical inference is one of the major contributions of probabilistic AI.<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>The courses offered in artificial intelligence and machine learning cover: advances in artificial intelligence through deep learning applied to long-term dependency modeling, and in particular to natural language processing. The exploitation of DNNs, CNNs, RNNs, LSTMs, GRUs, Attention, Transformers, GPTs, generative models, GANs, and auto-encoders allow applications such as machine translation, information classification and extraction, [&hellip;]<\/p>\n","protected":false},"author":4,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-13","page","type-page","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.1 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Teaching activities - Service \/ FS - Intelligence Artificielle<\/title>\n<meta name=\"robots\" content=\"index,follow\" \/>\n<link rel=\"canonical\" href=\"https:\/\/web.umons.ac.be\/maia\/en\/teaching-activities\/\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Teaching activities - Service \/ FS - Intelligence Artificielle\" \/>\n<meta property=\"og:description\" content=\"The courses offered in artificial intelligence and machine learning cover: advances in artificial intelligence through deep learning applied to long-term dependency modeling, and in particular to natural language processing. 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