{"id":45803,"date":"2021-07-09T12:18:09","date_gmt":"2021-07-09T09:18:09","guid":{"rendered":"https:\/\/forklog.com\/en\/?p=45803"},"modified":"2025-09-01T13:07:58","modified_gmt":"2025-09-01T10:07:58","slug":"scientists-have-developed-ai-that-classifies-thousands-of-galaxies-in-seconds","status":"publish","type":"post","link":"https:\/\/forklog.com\/en\/scientists-have-developed-ai-that-classifies-thousands-of-galaxies-in-seconds\/","title":{"rendered":"Scientists have developed AI that classifies thousands of galaxies in seconds"},"content":{"rendered":"

A group of Australian researchers has developed an artificial intelligence system capable of classifying tens of thousands of galaxies in seconds, according to The Next Web<\/a>.<\/p>\n

The team developed a convolutional neural network (CNN) that classifies galaxy morphologies under a three-class scheme (elliptical, lenticular, spiral) and a four-class scheme (+ irregular\/varied). The overall accuracy of the algorithm was 83% and 81% respectively, the researchers said.<\/p>\n

According to them, the method’s advantages are its speed and its ability to generalise.<\/p>\n

\n

\u201cAlthough training a CNN may be a costly undertaking in terms of computational power, the speed of galaxy classification after training is several orders of magnitude higher than manual processing,\u201d the study says.<\/p>\n<\/blockquote>\n

The neural network could classify more than 100 million galaxies at various distances from Earth and in different environments, they added.<\/p>\n

\n

\u201cBut if you put a group of astronomers in a room and ask them to classify several images, there will almost certainly be disagreements. This inherent uncertainty is a limiting factor in any AI model trained on labeled data,\u201d he says.<\/p>\n<\/blockquote>\n

Cavana added that the method could deepen understanding of how galaxies transform over time. He said it could even shed light on the nature of the universe itself.<\/p>\n

Earlier this year, researchers at Pennsylvania State University, using machine learning discovered hidden connections between the Milky Way and Andromeda<\/a>.<\/p>\n

In May, American scientists unveiled an AI supercomputer that will help build the largest-ever 3D map of the visible Universe<\/a> for studying dark energy.<\/p>\n

In early May, Carnegie Mellon University researchers developed an artificial intelligence that models the Universe on a single GPU 1000 times faster than existing methods<\/a>.<\/p>\n

Subscribe to ForkLog News on Telegram: ForkLog AI<\/a> \u2014 all the news from the AI world<\/p>\n","protected":false},"excerpt":{"rendered":"

A group of Australian researchers has developed an artificial intelligence that can classify tens of thousands of galaxies in seconds. Previously, the process could take months.<\/p>\n","protected":false},"author":1,"featured_media":26216,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"select":"1","news_style_id":"1","cryptorium_level":"","_short_excerpt_text":"","creation_source":"","_metatest_mainpost_news_update":false,"footnotes":""},"categories":[3],"tags":[438,1170],"class_list":["post-45803","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news-and-analysis","tag-artificial-intelligence","tag-space"],"aioseo_notices":[],"amp_enabled":true,"views":"19","promo_type":"1","layout_type":"1","short_excerpt":"","is_update":"","_links":{"self":[{"href":"https:\/\/forklog.com\/en\/wp-json\/wp\/v2\/posts\/45803","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/forklog.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/forklog.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/forklog.com\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/forklog.com\/en\/wp-json\/wp\/v2\/comments?post=45803"}],"version-history":[{"count":1,"href":"https:\/\/forklog.com\/en\/wp-json\/wp\/v2\/posts\/45803\/revisions"}],"predecessor-version":[{"id":45804,"href":"https:\/\/forklog.com\/en\/wp-json\/wp\/v2\/posts\/45803\/revisions\/45804"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/forklog.com\/en\/wp-json\/wp\/v2\/media\/26216"}],"wp:attachment":[{"href":"https:\/\/forklog.com\/en\/wp-json\/wp\/v2\/media?parent=45803"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/forklog.com\/en\/wp-json\/wp\/v2\/categories?post=45803"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/forklog.com\/en\/wp-json\/wp\/v2\/tags?post=45803"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}