{"id":236731,"date":"2026-05-07T22:10:20","date_gmt":"2026-05-08T03:10:20","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2026\/05\/inspired-by-the-brain-researchers-build-smarter-and-more-efficient-computer-hardware"},"modified":"2026-05-07T22:10:20","modified_gmt":"2026-05-08T03:10:20","slug":"inspired-by-the-brain-researchers-build-smarter-and-more-efficient-computer-hardware","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2026\/05\/inspired-by-the-brain-researchers-build-smarter-and-more-efficient-computer-hardware","title":{"rendered":"Inspired by the brain, researchers build smarter and more efficient computer hardware"},"content":{"rendered":"<p><a class=\"aligncenter blog-photo\" href=\"https:\/\/lifeboat.com\/blog.images\/inspired-by-the-brain-researchers-build-smarter-and-more-efficient-computer-hardware.jpg\"><\/a><\/p>\n<p>As traditional computer chips reach their physical limits and artificial intelligence demands more energy than ever, University of Missouri researchers are rethinking how computers work by taking cues from the human brain. The timing is critical. Energy use from AI data centers is projected to double by the end of the decade, raising urgent questions about sustainability.<\/p>\n<p>The solution may lie in <a href=\"https:\/\/techxplore.com\/news\/2022-05-significant-energy-neuromorphic-hardware.html?utm_source=embeddings&utm_medium=related&utm_campaign=internal\" rel=\"related\">neuromorphic computing<\/a>, an approach that reimagines computer hardware to process information more like biological neural networks rather than conventional chips.<\/p>\n<p>\u201cOne of the brain\u2019s greatest advantages is its efficiency,\u201d Suchi Guha, a professor of physics in Mizzou\u2019s College of Arts and Science, said. \u201cIt performs incredibly complex tasks using about 20 watts of power\u2014roughly the same as an old light bulb. By comparison, today\u2019s computer architecture is extremely energy-intensive.\u201d<\/p>\n","protected":false},"excerpt":{"rendered":"<p>As traditional computer chips reach their physical limits and artificial intelligence demands more energy than ever, University of Missouri researchers are rethinking how computers work by taking cues from the human brain. The timing is critical. Energy use from AI data centers is projected to double by the end of the decade, raising urgent questions [\u2026]<\/p>\n","protected":false},"author":427,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3,6,17],"tags":[],"class_list":["post-236731","post","type-post","status-publish","format-standard","hentry","category-biological","category-robotics-ai","category-sustainability"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/236731","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=236731"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/236731\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=236731"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=236731"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=236731"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}