{"id":241754,"date":"2026-07-29T00:20:36","date_gmt":"2026-07-29T05:20:36","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2026\/07\/brain-inspired-ai-is-capable-of-flexible-planning-and-problem-solving-while-using-far-less-energy"},"modified":"2026-07-29T00:20:36","modified_gmt":"2026-07-29T05:20:36","slug":"brain-inspired-ai-is-capable-of-flexible-planning-and-problem-solving-while-using-far-less-energy","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2026\/07\/brain-inspired-ai-is-capable-of-flexible-planning-and-problem-solving-while-using-far-less-energy","title":{"rendered":"Brain-inspired AI is capable of flexible planning and problem-solving while using far less energy"},"content":{"rendered":"<p><a class=\"aligncenter blog-photo\" href=\"https:\/\/lifeboat.com\/blog.images\/brain-inspired-ai-is-capable-of-flexible-planning-and-problem-solving-while-using-far-less-energy2.jpg\"><\/a><\/p>\n<p>The capabilities of large AI systems are constantly improving, but they consume a great deal of energy during training and operation. The human brain, by contrast, is extremely energy-efficient: It requires only around 20 watts.<\/p>\n<p>Researchers at Graz University of Technology, in collaboration with international partners, have developed a novel brain-inspired AI model that can plan flexibly and solve complex problems. In doing so, it consumes significantly less energy than multilayer neural networks or large language models. The study is <a href=\"https:\/\/www.nature.com\/articles\/s42256-026-01254-4\" target=\"_blank\">published<\/a> in the journal Nature Machine Intelligence.<\/p>\n<p>\u201cThe brain works in a completely different way from today\u2019s AI systems,\u201d says Wolfgang Maass from the Institute of Machine Learning and Neural Computation at Graz University of Technology. \u201cWe are trying to translate the way it works into algorithms and apply them to AI systems.\u201d<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The capabilities of large AI systems are constantly improving, but they consume a great deal of energy during training and operation. The human brain, by contrast, is extremely energy-efficient: It requires only around 20 watts. Researchers at Graz University of Technology, in collaboration with international partners, have developed a novel brain-inspired AI model that can [\u2026]<\/p>\n","protected":false},"author":427,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[41,6],"tags":[],"class_list":["post-241754","post","type-post","status-publish","format-standard","hentry","category-information-science","category-robotics-ai"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/241754","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/users\/427"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=241754"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/241754\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=241754"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=241754"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=241754"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}