{"id":245792,"date":"2026-10-22T05:37:51","date_gmt":"2026-10-22T10:37:51","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2026\/10\/building-brain-inspired-semiconductor-chips-for-smarter-greener-data-centers"},"modified":"2026-10-22T05:37:51","modified_gmt":"2026-10-22T10:37:51","slug":"building-brain-inspired-semiconductor-chips-for-smarter-greener-data-centers","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2026\/10\/building-brain-inspired-semiconductor-chips-for-smarter-greener-data-centers","title":{"rendered":"Building brain-inspired semiconductor chips for smarter, greener data centers"},"content":{"rendered":"\n<p>With artificial intelligence (AI) data centers consuming electricity at a growing rate, identifying a sustainable computing solution to offset these massive community and environmental disruptors is proving critical.<\/p>\n<p>Researchers from the University of Ottawa, Columbia University and Hanyang University believe building brain-inspired computing systems could provide the answer to this global conundrum, with small, fast, energy-efficient and scalable artificial neurons able to support the large-scale computing systems that are now regularly dotting our landscapes.<\/p>\n<p>\u201cThe materials and architectures described in this review represent a fundamentally different way to process information. By operating more like a human brain than a traditional processor, these emerging technologies will lead to physical devices that are dramatically more energy-efficient, faster and adaptive,\u201d explained lead author Dr. Kannan Udaya Mohanan, a postdoctoral fellow in professor Chang-Hyun Kim\u2019s research group at uOttawa.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>With artificial intelligence (AI) data centers consuming electricity at a growing rate, identifying a sustainable computing solution to offset these massive community and environmental disruptors is proving critical. Researchers from the University of Ottawa, Columbia University and Hanyang University believe building brain-inspired computing systems could provide the answer to this global conundrum, with small, fast, [\u2026]<\/p>\n","protected":false},"author":427,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[6,17],"tags":[],"class_list":["post-245792","post","type-post","status-publish","format-standard","hentry","category-robotics-ai","category-sustainability"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/245792","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=245792"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/245792\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=245792"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=245792"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=245792"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}