{"id":9657,"date":"2025-12-12T04:48:57","date_gmt":"2025-12-12T04:48:57","guid":{"rendered":"https:\/\/techtrendfeed.com\/?p=9657"},"modified":"2025-12-12T04:48:57","modified_gmt":"2025-12-12T04:48:57","slug":"google-broadcasts-gradient-canvas-ai-artwork-exhibition","status":"publish","type":"post","link":"https:\/\/techtrendfeed.com\/?p=9657","title":{"rendered":"Google broadcasts Gradient Canvas AI artwork exhibition"},"content":{"rendered":"<p> <br \/>\n<\/p>\n<div>\n<p data-block-key=\"g3rpq\">To have fun over a decade of inventive experimentation with AI, at present we&#8217;re revealing <i>Gradient Canvas<\/i>, an <a rel=\"nofollow\" target=\"_blank\" href=\"https:\/\/artsandculture.google.com\/project\/creativity-ai\">exhibition<\/a> of 13 newly commissioned artworks. Impressed by the Bay Space\u2019s native ecology, <i>Gradient Canvas<\/i> explores the concept synthetic intelligence can act as a bridge \u2014 connecting human notion, machine imaginative and prescient and the pure world round us.<\/p>\n<p data-block-key=\"c5ur4\">The featured international artists, a bunch together with long-time collaborators with Google, used Google instruments and AI to broaden how we sense and work together with our environment. Their new works probe the co-evolving relationships between individuals, nature and machines, providing distinctive views on how totally different types of intelligence make sense of the world.<\/p>\n<p data-block-key=\"837nc\">Hear instantly from the multidisciplinary group of artists about what impressed their work and the distinctive approaches to their work with AI:<\/p>\n<\/div>\n\n","protected":false},"excerpt":{"rendered":"<p>To have fun over a decade of inventive experimentation with AI, at present we&#8217;re revealing Gradient Canvas, an exhibition of 13 newly commissioned artworks. Impressed by the Bay Space\u2019s native ecology, Gradient Canvas explores the concept synthetic intelligence can act as a bridge \u2014 connecting human notion, machine imaginative and prescient and the pure world [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":9659,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[55],"tags":[1329,405,3564,6876,81,3978],"class_list":["post-9657","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-machine-learning","tag-announces","tag-art","tag-canvas","tag-exhibition","tag-google","tag-gradient"],"_links":{"self":[{"href":"https:\/\/techtrendfeed.com\/index.php?rest_route=\/wp\/v2\/posts\/9657","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/techtrendfeed.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/techtrendfeed.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/techtrendfeed.com\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/techtrendfeed.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=9657"}],"version-history":[{"count":1,"href":"https:\/\/techtrendfeed.com\/index.php?rest_route=\/wp\/v2\/posts\/9657\/revisions"}],"predecessor-version":[{"id":9658,"href":"https:\/\/techtrendfeed.com\/index.php?rest_route=\/wp\/v2\/posts\/9657\/revisions\/9658"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/techtrendfeed.com\/index.php?rest_route=\/wp\/v2\/media\/9659"}],"wp:attachment":[{"href":"https:\/\/techtrendfeed.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=9657"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/techtrendfeed.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=9657"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/techtrendfeed.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=9657"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}<!-- This website is optimized by Airlift. Learn more: https://airlift.net. Template:. Learn more: https://airlift.net. Template: 69d9690a190636c2e0989534. Config Timestamp: 2026-04-10 21:18:02 UTC, Cached Timestamp: 2026-05-06 18:09:25 UTC -->