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Morris Riedel talking about Quantum Computing<\/p><\/div><\/a><\/p>\n

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The booth of the Computer Science department, showcasing research projects.<\/p><\/div><\/a><\/p>\n

The DEEP-EST project<\/a><\/h2>\n
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Showcasing the DEEP-EST project<\/p><\/div><\/a><\/p>\n
For showcasing the machine learning that we do in the DEEP-EST project<\/a>, we offer a web page<\/a> that allows you to use the camera of your smartphone (or laptop) to detect objects in real-time. While neural networks are still best trained on a supercomputer, such as DEEP-EST<\/a> with its Data Analysis Module<\/a>, the trained neural network even runs in the browser of a smartphone.<\/p>\n
$\"https:\/\/nvndr.csb.app\/\"$ <\/a><\/p>\n
Just open the following web page and allow your browser to use the camera: https:\/\/nvndr.csb.app\/<\/a>.<\/p>\n
(Allow a few seconds for loading the trained model and initialisation.)<\/p>\n
The used approach is Single Shot Detector (SSD)<\/a> (the percentage shows how sure the neural network is about the classification) using the MobileNet neural network<\/a> architecture. The dataset used for training is COCO (Common Objects in Context), i.e. only objects of the labeled object classes contained in COCO<\/a> will get detected. The Javascript code that is running in your browser<\/a> uses Tensorflow Lite<\/a> and its Object Detection API<\/a> and model zoo<\/a>.<\/p>\n
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Example object detection via neural network<\/p><\/div><\/a>\n<\/p>\n
If you want learn more about DEEP-EST, have a look at the poster below (click on the picture below for PDF version):<\/p>\n
$\"PDF$ <\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
Our new colleague Morris Riedel gave on 7. February 2020 a presentation on Quantum Computing (slides \/ video) at UTmessan 2020, Icelands biggest IT fair. In addition, the Computer Science Department ran on the public visitor day (8. February 2020) a booth: beside student projects, we showcased research projects, e.g. DEEP-EST. The DEEP-EST project For […]<\/p>\n","protected":false},"author":512,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[79,210],"tags":[],"class_list":["post-1949","post","type-post","status-publish","format-standard","hentry","category-research","category-teaching"],"_links":{"self":[{"href":"https:\/\/uni.hi.is\/helmut\/wp-json\/wp\/v2\/posts\/1949","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/uni.hi.is\/helmut\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/uni.hi.is\/helmut\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/uni.hi.is\/helmut\/wp-json\/wp\/v2\/users\/512"}],"replies":[{"embeddable":true,"href":"https:\/\/uni.hi.is\/helmut\/wp-json\/wp\/v2\/comments?post=1949"}],"version-history":[{"count":42,"href":"https:\/\/uni.hi.is\/helmut\/wp-json\/wp\/v2\/posts\/1949\/revisions"}],"predecessor-version":[{"id":1999,"href":"https:\/\/uni.hi.is\/helmut\/wp-json\/wp\/v2\/posts\/1949\/revisions\/1999"}],"wp:attachment":[{"href":"https:\/\/uni.hi.is\/helmut\/wp-json\/wp\/v2\/media?parent=1949"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/uni.hi.is\/helmut\/wp-json\/wp\/v2\/categories?post=1949"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/uni.hi.is\/helmut\/wp-json\/wp\/v2\/tags?post=1949"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}