{"id":294336,"date":"2021-07-08T21:29:22","date_gmt":"2021-07-08T18:29:22","guid":{"rendered":"https:\/\/en.buradabiliyorum.com\/new-ai-system-classifies-thousands-of-galaxies-in-just-a-few-seconds\/"},"modified":"2021-07-08T21:29:22","modified_gmt":"2021-07-08T18:29:22","slug":"new-ai-system-classifies-thousands-of-galaxies-in-just-a-few-seconds","status":"publish","type":"post","link":"https:\/\/buradabiliyorum.com\/en\/new-ai-system-classifies-thousands-of-galaxies-in-just-a-few-seconds\/","title":{"rendered":"#New AI system classifies thousands of galaxies in just a few seconds"},"content":{"rendered":"

“#New AI system classifies thousands of galaxies in just a few seconds<\/strong>”
\n<\/p>\n

Scientists have developed an AI system that can classify tens of thousands of galaxies in a few seconds, a process that can take months to do manually.<\/p>\n

Up front: <\/strong>Astronomers classify galaxies by shape to understand how they form and evolve. But this can be a time-consuming job.<\/p>\n

The researchers used convolutional neural network (CNN) architectures to hasten the task.<\/p>\n

Per the preprint paper<\/a>:<\/p>\n

The key strengths of automated classification techniques, such as our CNN app<\/a>roach, ultimately lie in their speed and ability to general<\/a>ise. Although training a CNN can be a computationally expensive undertaking, the speed with which it can classify galaxies once trained is orders of magnitude greater than what could ever be possible with manual classification.<\/p>\n<\/blockquote>\n

The team developed a CNN architecture that outperforms existing models in classifying the morphologies of galaxies in both 3-class (elliptical, lenticular, spiral) and 4-class (+irregular\/miscellaneous) schema. Its overall classification accuracies were 83% and 81% respectively.<\/p>\n

They say it will be able to\u00a0classify more than 100,000,000 galaxies at different distances from Earth and in different environments.<\/p>\n

Quick take: <\/strong>The main advantage of using AI to classify galaxies is speed.<\/p>\n

But lead study author Mitchell Cavanagh, a PhD student at the International Centre for Radio Astronomy Research (ICRAR), said the accuracy is also improving:<\/span><\/p>\n

\n

These neural networks are not necessarily going to be better than people because they\u2019re trained by people, but they\u2019re getting close with more than 80% accuracy, and up to 97% when classifying between ellipticals and spirals.\u00a0If you place a group of astronomers into a room and ask them to classify a bunch of images, there will almost certainly be disagreements. This inherent uncertainty is the limiting factor in any AI model trained on labelled data.<\/span><\/p>\n<\/blockquote>\n

Ultimately, the technique could deepen our understanding of how galaxies transform over time.\u00a0Cavanagh says it could\u00a0<\/span>even shed light on the nature of the universe itself.<\/p>\n<\/div>\n

If you liked the article, do not forget to share it with your friends. Follow us on\u00a0Google News<\/a><\/span>\u00a0too, click on the star and choose us from your favorites.<\/span><\/strong><\/p><\/blockquote>\n

\n

For forums sites go to Forum.BuradaBiliyorum.Com<\/a><\/span><\/strong>\n<\/p><\/blockquote>\n

\n

If you want to read more like this article, you can visit our Technology category.<\/a><\/span><\/strong><\/p>\n<\/blockquote>\n

Source<\/a><\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

“#New AI system classifies thousands of galaxies in just a few seconds” Scientists have developed an AI system that can classify tens of thousands of galaxies in a few seconds, a process that can take months to do manually. Up front: Astronomers classify galaxies by shape to understand how they form and evolve. But this…<\/p>\n","protected":false},"author":1,"featured_media":294337,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"fifu_image_url":"https:\/\/img-cdn.tnwcdn.com\/image\/neural?filter_last=1&fit=1280,640&url=https:\/\/cdn0.tnwcdn.com\/wp-content\/blogs.dir\/1\/files\/2021\/07\/Untitled-design-11.jpg&signature=8733df73011b669830a09be84dd7fbe3","fifu_image_alt":"","footnotes":""},"categories":[18],"tags":[],"class_list":["post-294336","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-technology"],"_links":{"self":[{"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/posts\/294336","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/comments?post=294336"}],"version-history":[{"count":0,"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/posts\/294336\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/media\/294337"}],"wp:attachment":[{"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/media?parent=294336"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/categories?post=294336"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/tags?post=294336"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}