{"id":241310,"date":"2026-07-22T00:32:16","date_gmt":"2026-07-22T05:32:16","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2026\/07\/tiny-memristor-chip-cuts-brain-modeling-time-to-under-10-milliseconds"},"modified":"2026-07-22T00:32:16","modified_gmt":"2026-07-22T05:32:16","slug":"tiny-memristor-chip-cuts-brain-modeling-time-to-under-10-milliseconds","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2026\/07\/tiny-memristor-chip-cuts-brain-modeling-time-to-under-10-milliseconds","title":{"rendered":"Tiny memristor chip cuts brain modeling time to under 10 milliseconds"},"content":{"rendered":"<p><a class=\"aligncenter blog-photo\" href=\"https:\/\/lifeboat.com\/blog.images\/tiny-memristor-chip-cuts-brain-modeling-time-to-under-10-milliseconds2.jpg\"><\/a><\/p>\n<p>A research team has developed the world\u2019s first chip that can match the speed at which the human brain functions. The study, titled \u201cA sub\u201310-millisecond neural dynamical system based on phase-change memristors,\u201d was <a href=\"https:\/\/www.science.org\/doi\/10.1126\/science.aee6277\" target=\"_blank\">published<\/a> in <i>Science<\/i> and was led by Professor Yang Yuchao of Peking University, together with researchers from the Shanghai Institute of Microsystem and Information Technology, Chinese Academy of <i>Science<\/i>s.<\/p>\n<p>Neural dynamical systems combine neural networks with mathematical equations that describe how complex systems change over time. They are useful for physical modeling, medical imaging and three-dimensional brain reconstruction. However, these systems require repeated calculations, error checks and adjustments to the size of each calculation step. In conventional computers, data must also move frequently between memory and the processor, increasing processing time and energy use.<\/p>\n<p>Fast and accurate brain modeling is important for technologies that must respond in real time, including brain\u2013computer interfaces, surgical navigation and medical imaging. Existing hardware often requires too much time and power for these demanding calculations. By performing key operations directly in memory, the new chip reduces data movement and brings high-quality brain modeling closer to real-time use.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>A research team has developed the world\u2019s first chip that can match the speed at which the human brain functions. The study, titled \u201cA sub\u201310-millisecond neural dynamical system based on phase-change memristors,\u201d was published in Science and was led by Professor Yang Yuchao of Peking University, together with researchers from the Shanghai Institute of Microsystem [\u2026]<\/p>\n","protected":false},"author":662,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11,41,2229,6],"tags":[],"class_list":["post-241310","post","type-post","status-publish","format-standard","hentry","category-biotech-medical","category-information-science","category-mathematics","category-robotics-ai"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/241310","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\/662"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=241310"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/241310\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=241310"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=241310"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=241310"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}